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M2040-641 IBM Exceptional Web sustain Sales Mastery Test v1

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M2040-641 exam Dumps Source : IBM Exceptional Web sustain Sales Mastery Test v1

Test Code : M2040-641
Test appellation : IBM Exceptional Web sustain Sales Mastery Test v1
Vendor appellation : IBM
: 50 existent Questions

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IBM IBM Exceptional Web Experience

Ephox can provide an exceptional wealthy textual content enhancing event at IBM's awesome internet event convention | killexams.com existent Questions and Pass4sure dumps

PALO ALTO, CA--(Marketwired - June 06, 2013) - Ephox (ephox.com), a long-time IBM business accomplice, will demonstrate how its wealthy text editing utility, EditLive!, can simplify the process of developing and contributing net content at the 2013 IBM remarkable web adventure event. The conference, which makes a speciality of how agencies can carry enticing web experiences, takes region in Berlin, Germany, June eleven-13, 2013. 

In January, Ephox unveiled EditLive! for IBM Connections, a prosperous textual content editor that lets Connections users readily create first-rate content. EditLive! for IBM Connections extends an extended partnership with IBM, during which EditLive! has empowered non-technical authors with the skill to create extremely trustworthy content material within IBM net content manager.

"great content is the essential thing to an exceptional net event," according to Tom Smith, Ephox VP of worldwide income and advertising and marketing. "Ephox wealthy text editing options support businesses readily beget a contribution more content material and hurry up the adoption of IBM Connections, making certain they maximize their enterprise consequences."

EditLive! offers an outstanding wealthy text editing journey which in turn empowers users to create extremely trustworthy content, whether it's in IBM Connections or IBM internet content material supervisor. content material authors may furthermore subsist greater productive and contribute bigger excellent content material, therefore increasing the value of the platform and their enterprise.

exciting capabilities of the EditLive! prosperous textual content editor consist of: spotless reproduction and paste from Microsoft office, inline spell checking and thesaurus, photo import and modifying, accessibility compliance checking, inline track adjustments and commenting, and damaged hyperlink checking.

in addition to a June 12 speaking session titled "enhance ROI and Adoption through a very trustworthy editing adventure," conference attendees can contemplate a demo of EditLive! for IBM Connections and IBM internet content material supervisor on the Ephox booth. 

About EphoxUsed by using tens of millions of builders and authors international, Ephox's EditLive! wealthy textual content enhancing software makes a speciality of remodeling the web construction journey with the aid of enhancing the productivity and noteworthy of web page authoring and administration. The enterprise's expertise is licensed by way of leading internet content material management carriers including IBM, EMC|Documentum, and Open text. For extra information, visit ephox.com/EditLive, succeed us on Twitter, or relish their facebook page. 

Embedded Video purchasable: http://youtu.be/caChTZQCxhQ

Rajat Paharia founding father of Bunchball to communicate at IBM outstanding web journey 2013 | killexams.com existent Questions and Pass4sure dumps

REDWOOD metropolis, CA, may furthermore sixteen, 2013 (Marketwired by the exhaust of COMTEX) -- Rajat Paharia, generally recognized as the father of gamification, subsequent week will demonstrate enterprise leaders, enterprise analysts and executives attending the IBM notable web adventure 2013 convention how strategically using game mechanics can inspire employees to fully interact with IBM Connections.

In a one-hour presentation on Tuesday, may additionally 21, Paharia will portray how the identical proven gamification recommendations used to entice and maintain customers are assisting corporations motivate their employees to toil smarter and collaborate stronger, and motivating gregarious communities to participate and engage piece extra.

Paharia is founder and chief product officer of Bunchball, the pioneer and market leader in gamification, and is the author of a impending reserve from McGraw-Hill: Loyalty three.0: how to Revolutionize client and employee engagement with huge statistics and Gamification.

In his may additionally 21 talk, Paharia will contour precise-life case stories that illustrate how ingenious agencies are leveraging large facts and the tenets of motivational science to beget exhaust of gamification concepts that influence in more advantageous participation, sharing, collaboration, learning and fulfillment.

"corporations invested in IBM Connections are interested in making a more collaborative, responsive and an expert team of workers," spoke of Paharia. "but those results are workable most effective if employees beget a corporation's gregarious collaboration platform significant to their each day workflow. during this particular presentation for IBM Connections groups, we'll examine how organisations can stimulate the five intrinsic motivators that exist in every grownup -- the want to subsist self reliant, to achieve, to enhance, to beget a change, and to connect with others -- in ways in which create a collaborative lifestyle of loyal and dedicated IBM Connections users."

adventure particulars:

WHAT: IBM super internet journey 2013: "the usage of Gamification to Ignite the widespread Adoption and Utilization of IBM Connections and net event solutions"

WHO: Rajat Paharia, Founder and Chief Product Officer, Bunchball

WHEN: Tuesday, might furthermore 21 at 11:15 a.m.

the place: Wilford latitude A, Hilton Chicago, 720 South Michigan Avenue, Chicago, Illinois, 60605

About Bunchball: Bunchball is the market chief and visionary in gamification. Bunchball makes it feasible for organizations to enrich business performance throughout their ecosystem through growing extremely energetic and loyal valued clientele, personnel, and partners. Bunchball's complete suite of imaginitive cloud-based mostly solutions empowers corporations to interact and encourage, leading to more desirable employee productiveness, customer loyalty, viewers engagement, and ROI. Bunchball's world-type shoppers encompass Adobe, HP, Cisco, MTV, Comcast, LiveOps, VMware and Hasbro. primarily based in Silicon Valley, Bunchball's investors encompass Granite Ventures, Triangle height companions, Northport Investments, and Correlation Ventures. For greater counsel, argue with www.bunchball.com, their weblog at www.gamification.com, or succeed @bunchball.

MEDIA CONTACT: Mina Manchester Bateman community (415) 697-2565 e mail: mmanchester@bateman-neighborhood.com

source: Bunchball


(C) 2013 Marketwire L.P. any rights reserved.

New IBM application Transforms the Digital journey | killexams.com existent Questions and Pass4sure dumps

ARMONK, N.Y., July 13, 2012 /PRNewswire/ -- IBM (NYSE: IBM) nowadays announced new software that helps CMOs and CIOs radically change the digital journey for employees, customers and fans throughout a vast orbit of cellular gadgets. 

(picture: http://pictures.prnewswire.com/prnh/20120713/NY40055) (brand: http://pictures.prnewswire.com/prnh/20090416/IBMLOGO)

the brand new utility brings together the power of gregarious networking, analytics and cellular computing to entrance workplace operations and externally to customers, permitting companies to create remarkable web experiences. in consequence, businesses can profit sooner insight on client buying patterns and client sentiment enabling them to more directly attain and interact their audiences. 

As a piece of today's information, IBM is furthermore announcing the completion of a digital transformation task with the any England lawn Tennis membership. by using touring the brand new www.wimbledon.com from quite a lot of contraptions together with the iPhone, iPad, Android and different pills, fans can participate assistance, interact with and fix to The Championships as in the event that they accommodate been truly there seeing the plays in precise-time.   

The website additionally integrates with a brand new online tv channel, reside @ Wimbledon, alongside IBM's precise time match analysis device, SlamTracker, bringing the most finished digital event to buyers.

"Working with IBM, they now accommodate created a new digital sustain that goals to showcase the noteworthy thing about Wimbledon to their millions of enthusiasts world wide. It enables them to really engage with the Wimbledon journey as never earlier than," said Mick Desmond, commercial Director at the any England lawn Tennis membership.  "friends can succeed the progress of their favourite gamers, view clips of reside matches, view highlights of the day's motion and net ratings and results delivered in real-time.  it's an increasingly interactive and engaging online adventure that draws lovers, avid gamers and the media in ever-stronger numbers."

With the starting to subsist number of cell instruments, gregarious networks and gregarious media rig on the upward push, CMOs fight to gain their audiences. at the equal time, CIOs are struggling to give access to company statistics on any sorts of device for a geographically disbursed team of workers. Given the enterprise realignment between advertising and technology, the CMO and CIO can not accommodate the funds for to role on separate degrees. To succeed, they may must forge a shared agenda to deliver enterprise consequences through innovation and effectivity, working collectively to streamline their technology needs. The convergence of gregarious and mobile is prompting businesses to revisit many years-historic website to create exquisite internet experiences to gain and engage with their audiences.

constructing on these increased calls for, IBM is supplying a new customer adventure Suite giving thousands and thousands of advertising experts the power to exploit and combine any kinds of information on their internet websites and then analyze it for deeper perception into customer purchasing patterns and sentiment. furthermore delivered nowadays, the brand new IBM Intranet journey Suite pulls together enterprise tips and facts, personalised content and news, and gregarious media and analytics, enabling employees to connect, collaborate and entry guidance at anytime, from anywhere.

At European industrial automation expertise brand Omron, employees are connecting abilities and technical erudition through the corporation's Intranet, helping to meet the particular wants of their shoppers. Omron gives you a superb internet sustain to its 1,seven-hundred European employees via a lone conversation platform that embeds crucial gregarious information into the each day workflow.  Omron has sped potential sharing across boundaries and between departments, enabling personnel to pilot purchasers more advantageous and sooner.

"the realm is changing and is fitting increasingly linked and social," stated Michel Min, Head of Strategic communication & eMarketing, Omron Europe B.V. "as a result of this, they recognize their clients are changing as smartly, which is why or not it's more and more faultfinding to ensure their sales teams accommodate the correct guidance at the privilege time."

Analytics to support marketers engage Audiences

From digital advertising and cellular commerce, to websites and gregarious media, entrepreneurs are inundated -- regularly paralyzed -- via facts accrued from buyers by way of searches, purchase histories, facebook "likes" and comments on Twitter. combine that with data about in-keep traffic, conversations with appellation facilities and updates from suppliers, modern day marketers confront a daily deluge of statistics waiting to subsist sifted for nuggets of intelligence they could act upon to raise their business.

with the aid of 2017, the CMO can accommodate stronger exploit of the IT funds than the CIO, according to Gartner(1). advertising budgets will grow 7-8 % over the next one year, which is 2-three instances that of IT budgets. despite the fact, despite their growing to subsist reliance on technology and their hovering budgets, CMOs conveniently admit they want the competencies that IT requires.  in line with the IBM CMO examine, while seventy nine % of CMOs are expecting unreasonable stages of complexity of their job over the next five years, handiest forty eight % feel prepared to contend with it. 

because of this, it subsist faultfinding for CMOs to no longer most effective subsist privy to and monitor the gregarious conversation, but to definitely engage into account the sentiment and accommodate interaction one-on-one with that customer. Taking it one step further would subsist to combine these conversations without delay into the corporation's net web page, presenting one location to each community and store.

the brand new IBM client adventure Suite offers CMOs with the power to exploit and integrate any kinds of information on their web websites and then analyze it for deeper perception into client buying patterns and sentiment. internet records has evolved today to consist of gregarious media, videos, and web-based mostly varieties, as well as common business facts comparable to financial, customer and order statistics, and transactions.  The utility suite pulls collectively IBM's market-leading business portal, web content management, forms, and business gregarious networking software into a lone view.

CIOs developing excellent Intranets To aid employees profit insight from data Deluge

the new IBM utility additionally helps company leaders prolong their company intranet to a huge orbit of cellular devices with a view to deepen employee collaboration and tips sharing.

in response to IDC, personnel typically contemplate up to a 30 p.c boost in productiveness using gregarious rig internally to comprehensive their work(2). With limitless entry to any class of information, buyers are expecting this identical degree of information availability in their skilled lives, in an application to toil successfully and gain business goals privilege now.

the brand new IBM Intranet journey application brings the vigour of gregarious and analytics capabilities to CIOs and features of business employees helping agencies innovate and evolve their inside operations and communications. The solution pulls together company guidance and statistics, personalised content and information, and gregarious media and analytics, enabling personnel to join, collaborate and access assistance at anytime, from anywhere.

as an example, IBM's new intranet platform offers HR executives and business leaders with utility to aid personnel more suitable engage throughout networks and enterprise units, and entry counsel from quite a lot of sources including external and inside intelligence feeds.

Working with IBM and its colleague Portico, Omron created an award-winning company intranet, called Ozone internally, assisting to create a single-source conversation and collaboration platform for any 1,700 European employees. The IBM Intranet journey Suite integrates with external gregarious media, including Twitter, LinkedIn and YouTube, enabling employees to choose and choose which applications they crave in their Intranet view. as an example, a income manager can leverage the Cognos utility integration to beget certain a transparent view into month-to-month revenue reviews by means of location, in addition to competitive history on new product updates and forecasts.

"it subsist essential to present principal gregarious tips within the correct business context embedded in worker's every day workflow," persevered Min. "through measuring, inspecting and filtering gregarious assistance, after which injecting these insights to the privilege americans on the privilege time, upright company cost will furthermore subsist generated by bringing technical understanding directly to the client."

Omron has the ambition to connect personnel global, with its Ozone intranet being multiplied into Asia these days. Omron Europe is furthermore trying out mobile access for any regular gadgets together with the iPad.

Sources:(1) Gartner Webinar, by way of 2017 the CMO Will expend greater on IT Than the CIO, January 2012  (2) IDC, Measuring for fulfillment: gregarious company ROI, Doc # DR2011_T7_ET, Mar 2011   

Media Contact:Hanna Smigala IBM Media relations 1-720-342-5343smigala@us.ibm.com

supply IBM company

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iPhoney: Test Your Site for iPhone Compatibility | killexams.com existent questions and Pass4sure dumps

Can’t afford an iPhone (or don’t live in the US) but eager to check how your site might watch on the hottest device of the moment?

Screenshot of sitepoint.com as viewed in the iPhoney application Enter the iPhoney: a minute (1.3MB) desktop application that simulates web browsing on the newly released device.

iPhoney is not an iPhone simulator but instead is designed for web developers who want to create 320 by 480 (or 480 by 320) websites for exhaust with iPhone. It gives you a canvas on which to test the visual attribute of your designs.

This cleverly named app is a noteworthy appliance for developers who want a jagged view of whether their site will subsist usable by the one million iPhone owners who signed up in the first six days. With sales relish that, it’s conceivable that, within a few years, visitors browsing on an iPhone could amount to a significant percentage of your site’s visitors.

Sure, developers accommodate always been able to resize their window to test how a site renders on smaller screens, but the beauty of this app is:

  • You can instruct it to transmit the iPhone User Agent string, in case the site you’re checking performs any content negotiation based on this string.
  • You can instruct it to disable plugins such as scintillate and JavaScript, which aren’t yet supported by the iPhone.
  • You can quickly rotate the viewport, as you can on the existent thing.
  • Resizing your browser just isn’t as much fun as loading up an iPhone look-alike on your screen.
  • iPhoney is only available for Mac at this point, although given the recent release of Safari for Windows, and the fact that the code has been open sourced, I imagine that a Windows port is not far off.

    Ah, the beauty of having users who are passionate about your product — they’ll create stuff that supports and promotes it any on their own! I don’t know why phone companies don’t offer something relish this as a free download — what better way to promote your phone, while at the identical time providing a way for developers to ensure that the Web works as it should for more customers?

    Matthew Magain is a UX designer with over 15 years of sustain creating exceptional digital experiences for companies such as IBM, Australia Post, and sitepoint.com. He is currently the Chief Doodler at Sketch Group, Co-founder of UX Mastery, and recently co-authored Everyday UX, an inspiring collection of interviews with some of the best UX Designers in the world. Matthew is furthermore the creator of Charlie Weatherburn and the Flying Machine.

    The Best Self-Service business Intelligence (BI) Tools of 2018 | killexams.com existent questions and Pass4sure dumps

    Analytics Beyond Spreadsheets

    For many years, Microsoft surpass and other spreadsheets were the tools of option for business professionals who were looking to visualize their data. But spreadsheets had their limits for many business intelligence (BI)-related tasks. Even today, trying to creating charts analyzing complicated datasets in surpass can silent subsist frustrating. Sometimes you start with the wrong kindhearted of data, for example, or you may not know how to exploit the spreadsheet to create the data visualization{{/ZIFFARTICLE} you need. On the other hand, the rising tide of data democratization is giving everyone in an organization access to corporate data. The exigency has arisen for effective tools that people of any skill levels can exhaust to beget sense of the wealth of information created by businesses every lone day.

    Spreadsheets furthermore drop down when the data isn't well-structured or can't subsist sorted out in well-kept rows and columns. And, if you accommodate millions of rows or very sparse matrices, then the data in a spreadsheet can subsist painful to enter and it can subsist hard to visualize your data. Spreadsheets furthermore accommodate issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the identical spreadsheet.

    A spreadsheet containing up-to-the-minute data can furthermore subsist a problem, particularly if you accommodate exported graphics that exigency to subsist refreshed when the data changes. Finally, spreadsheets aren't trustworthy for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.

    While spreadsheets and self-service BI tools both beget exhaust of tables of numbers, they are really acting in different arenas with different purposes. A spreadsheet is first and foremost a way to store and panoply calculations. While some spreadsheets can create very sophisticated mathematical models, at their core it is any about the math more than the model itself.

    This is any a long-winded way of adage that when businesses exhaust a spreadsheet, they are actively sabotaging themselves and their capacity to consistently net valuable insights from their data. BI tools are specficially designed to aid businesses better understand their data, and can prove to subsist a huge profit to those upgrading from what a limited spreadsheet can do.

    What Is business Intelligence?

    Defining BI is tricky. When you examine what it does and why companies exhaust it, it can start to sound vague and nebulous. After all, many different kinds of software offer analytics features, and any businesses want to improve. Understanding what a BI is or isn't can subsist unclear.

    BI is an umbrella term meant to cover any of the activities necessary for a company to turn raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own actuality and operations. The ultimate goal is being able to enlarge profits and sharpen its competitive edge.

    Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and compress information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can conclude regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the knack of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.

    BI software has been instrumental in this even progression towards more in-depth erudition about the business, competitors, customers, industry, market, and suppliers, to appellation just a few feasible metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too large and complicated to subsist entirely handled by mere humans. Early efforts to conclude these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of certain operations or software buckets. This was the case unless IT took on the task of integrating various silos, typically through painstaking and highly manual processes.

    While BI software silent covers a variety of software applications used to analyze raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main incompatibility between today's BI software and huge Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from minute to large. huge Data analytics and apps exploit data analysis for very large data sets, such as silos measured in petabytes (PBs).

    Self-Service BI and Data Democratization

    The BI tools that were Popular half a decade or more ago required specialists, not just to exhaust but furthermore to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to net and understand the business—the company conclusion makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a string of "standard" reporting that analysts would rush on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can subsist highly valuable in fast-moving situations.

    This problem has led to a growing new trend among new BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to subsist available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and conclusion makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management appliance arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can engage odds of this distributed BI model. Key tools and faultfinding data accommodate moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with new BI software. This results in a entire new kindhearted of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they exigency but how they exigency to exhaust it.

    The emerging crop of BI tools any toil hard at developing front-end tools that are more intuitive and easier to exhaust than those of older generations—with varying degrees of success. However, that means a key criteria in any BI appliance purchasing conclusion will subsist to evaluate who in the organization should access such tools and whether the appliance is appropriately designed for that audience. Most BI vendors attest they're looking for their appliance suites to become as ubiquitous and light to exhaust for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. nothing accommodate gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI appliance suites mind to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should betide now), and predictive (what will betide later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a hasty and effective way of transferring information from a machine to a human brain. The view is to residence digital information into a visual context so that the analytic output can subsist quickly ingested by humans, often at a glance. If this sounds relish those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.

    But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to gain more granular information on one or more aspects incorporated in the bigger picture. For example, new values can subsist added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can turn a static visual into an animation or a dashboard.

    The best visualizations conclude not seek artistic awards but instead are designed with role in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may watch impressive at first glance but, if your audience needs aid to understand what's being conveyed, then they've ultimately failed.

    Most BI software, including those reviewed here, comes with visualization capabilities. However, some products offer more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are furthermore third-party and even free data visualization tools that can subsist used on top of your BI software for even more options.

    Products and Testing

    In this review roundup, I tested each product from the perspective of a business analyst. But I furthermore kept in mind the viewpoint of users who might accommodate no familiarity with data processing or analytics. I loaded and used the identical data sets and posed the identical queries, evaluating results and the processes involved.

    My direct was to evaluate cloud versions alone, as I often conclude analysis on the Fly or at least on a variety of machines, as conclude legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One sample of this is Tableau Desktop, a favorite appliance of Microsoft surpass users who simply accommodate an affinity for the desktop appliance (and who just plod to the cloud long enough to participate and collaborate).

    I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop appliance over a web appliance anyway." Again, I don't doubt Microsoft's pretense but that does look uncanny to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop appliance preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a simple cloud player. The appliance is designed to analyze website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.

    While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I establish them, simply to let buyers know they exist. IBM Watson Analytics is one appliance with the capacity to extend to highly advanced features and was furthermore one of the easiest to exhaust upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, erudition of data science. Instead, it works well by using natural language and keywords to configuration queries, a characteristic that can beget it valuable to practically anyone. It's highly intuitive, very powerful, and light to learn. Microsoft Power BI is a strong second as it, too, is powerful while furthermore familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they any accommodate their own pros and cons. We'll subsist adding even more in the coming months.

    One thing to watch out for during your evaluations of these products is that many don't yet exploit streaming data. For many users, that won't subsist a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer behavior patterns, streaming data can subsist invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and beget streaming data and streaming analytics a must-have feature. Many of these tools will accommodate to up their game accordingly so, unless you want to jump ship in a year or two, it's best to contemplate ahead when considering BI and the IoT.

    BI and huge Data

    Another area in which self-service BI is taking off is in analyzing huge Data. This is a newer progress in the database space but it's driving tremendous growth and innovation. The appellation is an apt descriptor because huge Data generally refers to huge data sets that are simply too huge to subsist managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and gregarious media tools (to appellation a few) that accommodate become so Popular over the ultimate several years.

    Not only conclude these tools generate loads of new data, they furthermore often generate a new kindhearted of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this kindhearted of data is massive on text (even free-form text) while furthermore containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this kindhearted of data include the customer behavior-tracking tools you exhaust to contemplate what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath gregarious media tracking tools.

    Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this new information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. New data storage innovations such as data lakes are emerging to unravel for this need, but organizations silent relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.

    Enter huge Data analysis standards. The golden yardstick here is Hadoop, which is an open-source software framework that Apache specifically designed to query large data sets stored in a distributed fashion (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query huge Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query any of your business data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to effect your queries, but it's typically easier and more effective to exhaust commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, any support this. However, each requires varying levels of configuration or even add-on tools to conclude so—with IBM, Microsoft, and Tableau offering exceptionally profound capabilities. However, both IBM and Microsoft will silent await customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the privilege BI Tool

    Given the issues spreadsheets can accommodate when used as ad hoc BI tools and how firmly ingrained they are in their psyches, finding the privilege BI appliance isn't a simple process. Unlike spreadsheets, BI tools accommodate major differences when it comes to how they consume data inputs and outputs and exploit their tables. Some tools are better at exploration than analysis, and some require a fairly abrupt learning curve to really beget exhaust of their features. Finally, to beget matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to pretense the self-serve BI label even if it doesn't quite fit.

    Getting the overall workflow down with these tools will engage some study and discussion with the people you'll subsist designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you accommodate this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and wait there.

    In recent years, companies accommodate been taking odds of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is essential to beget sure that your employees actually know how to exhaust these BI platforms so that you can beget sure your investment was worthwhile. There are many ways of approaching this, but using the privilege online learning platform might subsist a trustworthy residence to start looking.

    Given the wide cost orbit of these products, you should segment your analytics needs before you beget any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and beget it light to net started. Plus, they mind to accommodate large ecosystems of add-ons and partners that can subsist a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop silent has the largest collection of charts and visualizations and the biggest colleague network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.

    IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in their roundup. However, any three products received their Editors' option award. Tableau Desktop may accommodate a huge cost tag depending on which version you choose but, as previously mentioned, it has an exceptionally large and growing collection of visualizations plus a manageable learning curve if you're willing to dedicate some application to it. Microsoft Power BI and Tableau Desktop furthermore accommodate large and growing collections of data connectors, and both Microsoft and Tableau accommodate their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' progress teams so it's a trustworthy view to expend some time looking through those community forums to net an view where these companies are headed.

  • Pros: Extremely user-friendly. grotesque automatic report generation. Impressive support availability.

    Cons: Automated reports can quickly become defaults. abrupt learning curve that might muddle beginners.

    Bottom Line: Zoho Reports is a solid option for universal business users who might not subsist knowledgeable in analytics software. It's furthermore available at an attractive price.

    Read Review
  • Pros: Accessible user interface. Smart guidance features. Impressively hasty analytics. Robust natural language querying.

    Cons: Unable to conclude real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a strong analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes their Editors' option honor.

    Read Review
  • Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.

    Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.

    Bottom Line: Microsoft Power BI earns their Editors' option homage for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

    Read Review
  • Pros: tremendous collection of data connectors and visualizations. User-friendly design. Impressive processing engine. age product with a large community of users.

    Cons: replete mastery of the platform will require substantial training.

    Bottom Line: Tableau Desktop is one of the most age offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.

    Read Review
  • Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.

    Cons: Might subsist too difficult for self-service business intelligence (BI). Analytics process silent needs to subsist ironed out. Natural language capability can subsist limited.

    Bottom Line: Sisense is a complete platform that should subsist Popular for experienced BI users. It may drop short for beginners, however.

    Read Review
  • Pros: Wide orbit of connectors. Impressive sharing features. Limitless data storage.

    Cons: User interface is not intuitive. abrupt learning curve. Unwelcoming to new analysts.

    Bottom Line: Domo isn't for newcomers but for companies that already accommodate business intelligence (BI) sustain in their organization. Domo's a powerful BI appliance with a lot of data connectors and solid data visualization capabilities.

    Read Review
  • Pros: Exceptional platform for website and mobile app analytics.

    Cons: Customer support has way too much automation. Focus on marketing and advertising can subsist frustrating to users. Relies mostly on third parties for training.

    Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest appellation in website and mobile app intelligence. It has a abrupt learning curve but it is an awesome business intelligence tool.

    Read Review
  • Pros: Designed with universal business users in mind. Solid recrudesce on investment.

    Cons: The data you can exhaust is limited. Needs additional platform to connect.

    Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners beget it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with copious extenders. Responsive pages beget mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.

    Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.

    Bottom Line: If your business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But subsist warned that there's a abrupt learning curve and a renowned dependence on other SAP products for replete functionality.

    Read Review
  • Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. complicated queries are handled very well.

    Cons: Poorly designed user interface. abrupt learning curve.

    Bottom Line: Chartio excels at building a powerful analytics platform that experienced business intelligence (BI) users will appreciate. Those new to BI, however, will find it very difficult to use.

    Read Review
  • Pros: Very profound SQL modeling ability. Uses Git for version management and collaboration.

    Cons: Very expensive. Not for minute teams.

    Bottom Line: Looker is a noteworthy self-service business intelligence (BI) appliance that can aid unify SQL and huge Data management across your enterprise.

    Read Review
  • Pros: Custom access roles. Solid collection of public data online.

    Cons: complicated pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) appliance that delivers the best collection of user access roles among the BI tools they tested, and furthermore demonstrates a promising start towards integrating Data-as-a-Service (DaaS).

    Read Review
  • Pros: One of the largest collections of data connectors. Many granular access roles.

    Cons: No free affliction available. Training webinars can subsist costly.

    Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service business intelligence (BI) appliance WebFocus nevertheless has some powerful analysis features.

    Read Review
  • Pros: Very light to net started. Nice team management and collaboration features.

    Cons: The cloud version has a subset of features establish in Windows version. Online documentation could subsist improved.

    Bottom Line: While Tibco is silent making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) appliance Tibco Spotfire is a noteworthy way to start visualizing your surpass data.

    Read Review
  • Pros: Excellent analytical support for Intuit QuickBooks. Very light setup.

    Cons: Installation and setup is a bit of chore. No support for Intuit QuickBooks' online versions.

    Bottom Line: Clearify QQube is the best self-service business intelligence (BI) appliance for in-depth analysis of your Intuit QuickBooks files, though you'll exigency to watch elsewhere for broader BI tasks.

    Read Review

  • Cambridge Technology Enterprises Ltd Management Discussions. | killexams.com existent questions and Pass4sure dumps


    The world is transforming and they are in the middle of the lone largest transformation the world has even seen since the Industrial Revolution nearly 250 years ago. huge Data powered by simulated Intelligence (AI) and Machine Learning is the next natural resource, relish air, oil, water, and the convergence of huge Data and Cloud with AI and Machine Learning is a potential multi-trillion-dollar opportunity.

    AI is transforming the way businesses are defined, designed and delivered and enterprise value is captured. The trend is accelerating as a recent research from Gartner estimates that customers will subsist able to manage 85 percent of the interactions with an enterprise without human intervention by 2020. In the years to come, enterprises will adopt a differentiated IT strategy by implementing AI and exploring the potential of huge Data.


    • According to a new research by Salesforce ‘State of the Connected Customer, 57 percent of consumers await voice-activated smart assistants to accommodate a major or qualify repercussion on their daily lives by 2020.

    • Gartner predicts that 30% of any companies will employ AI to augment at least one of their primary sales processes by 2020.

    • According to Gartner, 20% of companies will dedicate workers to monitor and pilot neural networks by 2020.

    • As per McKinsey, the total annual external investment in AI was between $8B-$12B in 2016, with ML attracting nearly 60% of that investment.

    • IBM Watson forecasts a $2 trillion opportunity in the ML market over the next decade.

    • IDC estimates that by 2020, transactions on the internet will gain 450 billion per day and enterprise-generated content will exceed 240 exabytes i.e. 240 billion gigabytes daily.

    • A survey by Veritas states that over 70 percent of enterprises has the opinion that cloud is no more ‘optional for companies to remain competitive. • According to IDC, 60 percent of ML will rush on Amazon, Google, IBM, or Microsoft by 2020.


    IDC predicts that the Cognitive Systems and AI market will grow from $8 Billion in 2016 to $47 Billion in 2020. Forrester predicts a 300% enlarge in AI investments in 2017 compared to 2016.

    "We are entering a new world. The technologies of machine learning, speech recognition, and natural language understanding are reaching a nexus of capability." –Amy Stapleton, Independent Industry Analyst : Opus Research

    Information and communications, Manufacturing and financial Services are the early adopters of AI and will contemplate the highest growth rates driven by AI in 2035. (Source – McKinsey and Accenture Research).

    AI can beget immediate contributions towards faultfinding business decisions leading to increased profitability for the organizations. Some of the areas where the repercussion of AI can subsist felt almost immediately are supply chain management, forecasting, inventory optimization and production scheduling in Manufacturing, improving efficiencies by reducing the errors in repetitive, manual tasks including credit scoring and first-level customer inquiries for financial services. AI drives significant cost, time and process-related savings rapidly for any the industries. Availability of high-speed bandwidth, computing resources and growth in huge Data are the three key drivers for simulated Intelligence and will continue to fuel AI implementation by enterprises for long term benefits.

    The current AI wave is poised to finally smash through

    Investment in AI is growing at a towering rate, but adoption in 2017 remains low

    Machine Learning

    AI is a broad term that encompasses a lot of technologies with different capabilities to support conclusion making. One such technology is Machine Learning. Machine Learning implementation will grow as Machine Learning as a Service (MLaaS) and is estimated to grow from USD 613.4 Million in 2016 to USD 3,755.0 Million by 2021, at a CAGR of 43.7% from 2016 to 2021.

    ML contributions across industries cover orbit of functions relish customer services, sales & marketing, production challenges, data analysis and predictive analysis for conclusion making. The data wealthy organizations accommodate a lucid odds because of MLs capacity to learn and better continuously.

    Exponential Data Growth in terms of unstructured data and real-time data from IoT networks, and economics of digital storage and cloud computing are growth drivers for ML across industries. According to Gartner, 80% of enterprise data is unstructured and faultfinding for strategic business decisions, further adding to an inevitable exigency for ML implementation.

    Big Data

    IDC estimates that worldwide revenues for huge Data and business Analytics will grow from $130 Billion in 2016 to more than $203 Billion in 2020, at a CAGR of 11.7%. large companies will subsist the primary adopters of the huge Data opportunity, expected to generate revenues exceeding $154 Billion in 2020.

    Big Data is making an repercussion across various business operations relish customer sentiment analysis, hyper-personalized customer experiences, reducing churn rate of customers, understanding buying and media preference of customers, and fraud and risk management to mention a few. The major drivers for huge Data are business needs of innovation, potential for new insights and growth of data in various formats with huge potential to contribute to profitability of businesses.


    As per Gartner, public cloud services market is poised to grow up from $209.2 Billion in 2016 to $246.8 Billion in 2017. Infrastructure as a service (IaaS) will continue to drive highest growth and is projected to grow 36.8 percent in 2017 to gain $34.6 Billion.

    SaaS will continue to grow as second largest segment in cloud services market. Cloud services market will sustain additional demand to migrate existing in-house infrastructure to the cloud because of simulated Intelligence and Internet of Things (IoT).


    Data is growing faster than ever before. According to Marketing Cloud report by IBM, 90% of the data in the world today has been created in the ultimate two years alone. Today, less than 1% of the worlds data is analysed, according to Digital Universe Study. Implementing AI technologies accommodate the capacity to harness the replete potential of data.

    AI and Machine Learning accommodate been discussed for decades but the convergence of huge Data and Cloud with AI and Machine Learning is existent now for three reasons:

    a. Computing power: Computing resources available today are exceptional. With access to technologies relish AWS, Microsoft Azure, computing power is no longer a constraint.

    b. Bandwidth: Better availability of towering bandwidth has positively impacted accessibility.

    c. Data: Access to large volumes of unstructured and structured data is changing the information landscape at their disposal.


    The ultimate generation of trillion dollars were created out of traditional Indian IT technology businesses that were focused on back-end and costs. The next trillions of dollars will subsist created by front-end innovation driven technology companies focused on value.

    AI is going to transform businesses faster than ever and the first signs of this transformation are seen in sectors like:

    Energy: Advances in disruptive technologies will contemplate potential challenges in Energy sector getting resolved. For instance, U.S. Energy Information Administration says that buildings account for 48.7 percent of overall energy consumption, more than any other industry. Powerful computation models built on huge Data and Cloud can aid reduce dependency on energy, availability, costs and consumption.

    Lifesciences & Pharmaceuticals: The exhaust of transformative technologies to understand the complexities that arise from the combination of a variety of data from areas relish clinical research, plants and animal genomics could betray completely innovative approaches to treatment of diseases.

    Data Infrastructure: There is a huge opportunity for Information Management in the areas relish Data storage, Fraud Detection and Prevention, Compliance Reporting, Risk Management to appellation a few.


    AI will define industries both new ones and used leveraging huge Data, Cloud and Machine Learning to transform data into a valuable erudition asset and a yeast for disruption. Every human life and business in this world will subsist transformed with this disruption and millions of transformative businesses will subsist created. The result is a doughty new world and a transformation of an used world.


    The opportunity - Discovering AI is the new normal

    As the world transforms, businesses are going to close up with ‘haves and have-nots in the AI space. There will subsist businesses with resources to implement AI solutions and exhaust AI to net to decisions, and there will subsist businesses standing silent in the have-not space. According to a Forrester report "Predictions 2017: simulated Intelligence Will Drive The Insights Revolution", businesses adopting AI will engage revenues worth $1.2 trillion per annum from their less informed peers by 2020. Discovering the power of AI for your business will subsist the new normal.

    Your company solves the worlds complicated and most captivating business challenges with AI, transforming organizations into "AI-first" leaders by enabling its customers to create AI solutions that transform their businesses and industries. Your companys products and services address any the transformational AI needs of an organization — from strategic workshops and ready-to-deploy solutions, to implementation of transformative business solutions through its AI as a Service (AIaaS) leveraging huge Data, Cloud & Machine Learning experience.

    Integrated Offerings

    Businesses exigency a lot of elements to implement AI. They exigency an factor of huge Data and Cloud which is provided by Cambridge Bigdata where your company serves enterprise clients, then they exigency the elements of Cambridge Bizserve that allows to manage data, then they exigency elements of innovation offered by Cambridge Innovations that aid businesses leapfrog and most importantly, draw insights to engage the decisions, offered by Cambridge DataScience. Your companys offerings fortunate together because of its understanding towards the entire lifecycle of a business.

    Building the Foundation

    In 2015, your company envisaged a two-year business way for 2015-16 and 2016-17 to focus on three areas – building partnerships, acquiring referenceable clients in its chosen verticals and acquiring germane expertise in technologies. In 2016-17, your company achieved the revenues of INR 100 crores while serving marquee enterprise clients relish Schneider Electric, Hills Pet Nutrition and Iron Mountain. In the ultimate two years, your company has reclaim together the foundation that allows it to subsist better prepared to engage odds of the market opportunity.


    Through its colleague network, your company gains access to the best technology framework and solutions, strengthening its delivery capabilities.

    Amazon Web Services: Your company has developed profound relationship with AWS spanning any disciplines in the organization and has invested consistently in the AWS technology stack. Your company has successfully delivered several projects on AWSs technology, including; Redshift, SaaS applications, Dev/Test and QA environments, Architecture Design and Implementation, BI/BA, S3, Glacier and more. Your company is committed to continue building its AWS relationship and leveraging technology for the profit of its customers. In 2017, your company has further strengthened its relationship with AWS by achieving huge Data Competency Status, Oracle Enterprise Applications Competency Status, DevOps Competency Status and Managed Service Provider Status.

    Atlassian: As an Atlassian Solution Partner, your company will subsist consulting, implementing and delivering solutions to customers, enabling them to unleash their teams potential. By leveraging products relish by JIRA Software, JIRA Service Desk, JIRA Core, Status Page, Confluence, Trello and HipChat, customers are able to quickly collaborate on various issues and sustain better project transparency.

    Apica: Apica is a leading provider of monitoring and load testing software. Your companys partnership with Apica will assist its customers to determine maximum capacity limits, monitor daily performance, establish performance benchmarks, reduce business risks and optimize infrastructure investments, resulting in lower bounce rates and higher revenues.

    CA Technologies: Your company has joined CA Technologies colleague program to leverage their broad array of leading edge solutions. Partnering with CA gives its customers access to technology and technology experts that expands and accelerates their technology adoption cycle personalized for their specific needs.

    ForgeRock: Your company has joined ForgeRocks colleague program to leverage ForgeRocks identity solutions.The partnership provides both existing and new customers with an added array of application migration, progress and managed services offerings coupled with ForgeRocks Access Management, Identity Management, Identity Gateway and Directory Services. This will aid customers that are looking for end-to-end solutions to engage odds of their replete suite of offerings.

    Microsoft Azure: Your company provides Microsoft Azure deployment and migration services to aid clients reduce cost and rapidly build, deploy and manage applications across a global network of Microsoft-managed data centers. Your company specializes in Cloud Assessment, Cloud Roadmap & Strategy, Cloud Migration and Consulting, Analytics, huge Data on Cloud and IoT.

    New Relic: Your company joined the New Relics colleague program in 2014 and has been using New Relic technology since 2013. By incorporating New Relics solutions, your company benefits from an increased top line and faultfinding product differentiation. Your company includes New Relics functionality in its offerings to provide monitoring capabilities to a large percentage of its customer base. Oracle Gold Partner: Your company has obtained Gold colleague status with Oracle making it eligible to develop, sell and implement the replete stack of Oracle products and solutions.

    Pentaho: Your company has partnered with Pentaho which allows it to apply Pentahos business intelligence offerings to meet its customers exigency for powerful business analytics and data integration. Pentaho, a Hitachi Group company, is a leading data integration and business analytics company with an enterprise-class, open source-based platform for diverse huge data deployments.

    Rackspace: Your company has joined the Rackspace colleague Network to provide its customers with a portfolio of Hybrid Cloud solutions. Rackspace is a leading provider of hybrid clouds, which enable businesses to rush their workloads where they rush most effectively – whether on the public cloud, a private cloud, dedicated servers, or a combination of these platforms.

    Tableau: Your company has obtained the status of Preferred Alliance colleague with Tableau making it eligible to integrate Tableaus software into its Cloud and huge Data solutions that it deploys to aid clients unlock the power of data. The partnership will combine the global talent pool and client gain of your company with Tableaus breakthrough analytics technology.

    Focused on verticals: Your company has added a referenceable client in each of its verticals - Energy and Utilities, Life Sciences & Pharmaceuticals, Industrials, BFSI and Data Infrastructure.

    Certified Workforce: Your company is one of the few organizations in the world with 100 percent AWS certified Cloud Operations hub with the capacity to provide 24/7 management of Public, Hybrid and Private cloud architectures.

    Certifications and Accreditations: Your company is appraised at the flush 5 of the CMMI Institutes Capability Maturity Model Integration (CMMI) v1.3 for its services. This indicates that CTE is operating on highly "Optimized" processes. There are only~30 companies appraised at this flush for services in India.Your company is furthermore certified withISO 9001:2008, ISO 27001:2005 which affirms that your company is highly committed to business solutions and processes it follows in serving its clients.

    Global Presence: In line with providing its global clients access to 24/7 progress cycle, your company reinforced its U.S. presence and expanded its offshore delivery centers in India.

    VISION 2020

    Your company is pleased to publish its Vision 2020. For their Vision 2020, your company will focus on the following: a. Organic Growth: Over the next three years, on an average, your company expects an annual revenue of $10M approximately from each of its four growth drivers i.e. Cambridge Bigdata, Cambridge Bizserve, Cambridge DataScience and Cambridge Innovations. b. Upside from equity: Your company believes it will engage 3-5 years to generate liquidity from its investments.

    c. Inorganic Growth: Your company has the potential to explore inorganic growth opportunities.

    Your company expects that the above three revenue streams will defer results in the next three years to hopefully achieve $50M revenues with focus on profitability.


    Your company gives organizations unparalleled access to cutting-edge technology by bringing together the best-in-industry using its years of expertise in building solutions for some of the worlds largest and most innovative enterprises. Your companys expertise across multiple domains makes it the preferred option for organizations seeking an AI colleague to innovate and leapfrog the market.


    The potential threats and risks are usually aligned either to change in the external environment such as changes in the technology/customer preferences/business dynamics or finding the privilege talent and retaining them. Your company is well positioned to minimize the potential identified threats and risks, and the way it does is circumstantial below:

    Changing Technological Trends

    With the moving pace of technology and the way these variables change with time, it becomes imperative for the service provider to withhold up with the pace and adopt the learning curve. They constantly endeavor to wait ahead of the technology curve by building capabilities to meet the current and future needs of their customers.


    At CTE, any employees undergo germane set of trainings imperative to serve the existing and future business needs. This helps greatly minimize the risk of change of technology.

    Attracting and Retaining Talent

    Finding the privilege kindhearted of talent and retaining them could pose a challenge for any business relish ours. The dynamic nature of technology, increasing demand from clients, etc., warrants the company to focus on finding the privilege kindhearted of talent and their retention for its actuality and delivering sustainable growth. Hiring the best of the breed talent forms the core faith at CTE.

    Exchange rate risk

    A substantial piece of the CTEs revenues accrues in US dollars, therefore inevitably exposed to fluctuations in exchange rates of exotic currency. Any major change in exotic currency exchange rates will accommodate an repercussion on the companys earnings.


    The IT Services industry is intensely competitive with local and MNC players having a sizable presence. Competitive pressure could adversely strike pricing strategy for services impacting growth and profitability. Over the years, CTE has developed profound domain erudition and delivery capabilities with skilled workforce which has made the organization to remain competitive.



    Snapshot (In INR Lakhs)

    Revenue 10060.36 6582.49 53% Total Expenditure 7854.94 5439.60 EBIDTA 2205.42 1142.89 93% Tax Expense / (Tax Benefit) 376.17 (251.21) Net Profit 1688.30 905.69 86% Fixed Assets 860.96 1900.45 Reserves & Surplus 2569.02 1915.82 34%

    a. Revenue

    Revenue increased by 53% to INR 10060.36 Lakhs for the year ended 31st March, 2017 as compared to INR 6582.49 Lakhs for the identical age ultimate year. b. Net Profit & Reserves and Surplus

    Net Profit increased by 86% to INR 1688.30 Lakhs for the year ended 31st March, 2017 as compared to INR 905.69 Lakhs for the identical age ultimate year. As a result of enlarge in the consolidated profit, Reserves and Surplus accommodate increased from INR 1915.82 Lakhs in FY 2015-16 to INR 2569.02 Lakhs in FY 2016-17. Accumulated losses and unamortised goodwill as on March 31, 2016 accommodate been adjusted against poise of Securities Premium Account. c. Fixed Assets

    Net fixed assets stood at INR 860.96 Lakhs as on 31st March, 2017 compared to INR 1900.45 Lakhs as on 31st March, 2016. d. EBIDTA

    The EBITDA increased by 93% at INR 2205.42 Lakhs for the year ended 31st March, 2017 as compared to INR 1142.89 Lakhs for the identical age ultimate year. e. Expenditure

    Total Expenditure increased to INR 7854.94 Lakhs for the year ended 31st March, 2017 as compared to INR 5439.60 Lakhs for the identical age ultimate year. Out of the above, Employee cost stood at INR 4186.42 Lakhs in FY 2016-17 as compared to INR 3407.25 Lakhs for the identical age ultimate year.


    Snapshot (In INR Lakhs)

    Year 2016 – 17 2015 – 16 Growth Revenue 3865.55 2945.33 31% Total Expenditure 3396.21 2463.16 EBIDTA 469.34 482.17 -3% Tax Expense / (Tax Benefit) 269.86 (245.77) Net Profit 424.36 558.50 -24% Fixed Assets 118.86 836.19 Reserves & Surplus 756.43 1309.20 -42%

    Revenue increased by 31% to INR 3865.55 Lakhs for the year ended 31st March, 2017 as compared to INR 2945.33 Lakhs for the identical age ultimate year. b. Net Profit & Reserves and Surplus

    Net Profit decreased by 24% to INR 424.36 Lakhs for the year ended 31st March, 2017 as compared to INR 558.50 Lakhs for the identical age ultimate year. As a result of reduce in profits, and due to adjustment of accumulated losses and unamortised goodwill as on March 31, 2016 against poise of Securities Premium Account, Reserves and Surplus accommodate decreased from INR 1309.20 Lakhs in FY 2015-16 to INR 756.43 Lakhs in FY 2016-17. c. Fixed Assets

    Net fixed assets stood at INR 118.86 Lakhs as on 31st March, 2017 compared to INR 836.19 Lakhs as on 31st March, 2016. d. EBIDTA

    The EBITDA decreased by 3% at INR 469.34 Lakhs for the year ended 31st March, 2017 as compared to INR 482.17 Lakhs for the identical age ultimate year.

    e. Expenditure

    Total Expenditure increased to INR 3396.21 Lakhs for the year ended 31st March, 2017 as compared to INR 2463.16 Lakhs for the identical age ultimate year. Out of the above, Employee cost stood at INR 2063.19 Lakhs in FY 2016-17 as compared to INR 1613.70 Lakhs for the identical age ultimate year. The details of the financial performance of your company are appearing in the poise Sheet, Profit & Loss Account and other financial statements forming piece of this Annual report.


    Your companys board and management team monitor and beget enhancements to your companys systems for internal control and risk management on an ongoing basis. Your companys efforts towards this proceed beyond what is mandatorily required, with vigorous monitoring and review to ensure adequacy of control systems and to identify potential risks as well as recommend or implement measures to mitigate them.

    Your Company has a proper and adequate system of internal control to ensure that any assets are safeguarded and protected against loss from unauthorized exhaust or nature and that the transactions are authorized, reported and recorded correctly. Your companys internal control system is adequate considering the nature, size and complexity of its business. Your companys internal control systems provide, among other things, reasonable assurance of recording the transactions of its operations in any material respects and of providing protection against significant misuse or loss of company assets. These furthermore enable your company to adhere to procedures, guidelines, and regulations as applicable in a transparent manner.

    Your companys internal control systems are supplemented by an internal audit program and sporadic reviews by the management. Your company has appointed an independent audit solid as its Internal Auditors and the Audit observations are periodically reviewed by the Audit Committee of the Board of Directors and necessary directions are issued, wherever required.The existing internal control systems and their adequacy accommodate been reviewed extensively during the year by internal auditors and statutory auditors. They accommodate expressed an opinion that the internal control system is adequate and functioning effectively.


    Your company is committed to create an environment of learning and development, promote internal talent and build an appreciating culture. Your Company has created platforms for recognizing and motivating employees for the trustworthy toil they conclude in the organization. Sound human resource progress policies of your Company ensures that each employee grows as an individual and contributes to the performance of your Company. It furthermore works towards building a toil culture aimed at achieving higher performance orientation.

    Our employees are their most essential and valuable assets. any your Companys policies are focused towards a healthy, blissful and prosperous toil environment for its employees and thereby furthermore fulfill the aspirations of the people at work. Your Company along with its subsidiaries ended the year with a headcount of 317. The key elements that define their culture include professional working environment, training and development, and compensation.


    Certain statements in this report or elsewhere in the Annual Report may accommodate statements concerning Cambridge Technology Enterprises Limited and its growth prospects, expected financial position, business strategy, future progress of the companys operations, universal economy, industry structure and other developments that are individually and collectively forward-looking statements. Such forward-looking statements are not guarantees of actual results, future performance or achievements and are subject to known and unknown risks, uncertainties and assumptions that are difficult to predict. These risks and uncertainties include, but are not limited to, the performance of the Indian economy and of the economies of various international markets, the performance of the industry in India and world-wide, competition, changes in government policies or regulations of India, changes relating to the administration of the company, the companys capacity to successfully implement its strategy, the Companys future levels of growth and expansion, technological implementation, changes and advancements, changes in revenue, income or cash flows, the Companys market preferences and its exposure to market risks, as well as other risks. The Companys actual results, levels of activity, performance or achievements could disagree materially and adversely from results expressed in or implied by this report. The Company assumes no duty to update any forward-looking information contained in this report.

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