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00M-641 IBM Exceptional Web suffer Sales Mastery Test v1

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00M-641 exam Dumps Source : IBM Exceptional Web suffer Sales Mastery Test v1

Test Code : 00M-641
Test title : IBM Exceptional Web suffer Sales Mastery Test v1
Vendor title : IBM
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IBM IBM Exceptional Web Experience

Ephox gives you an outstanding prosperous text editing event at IBM's exceptional internet journey convention | killexams.com real Questions and Pass4sure dumps

PALO ALTO, CA--(Marketwired - June 06, 2013) - Ephox (ephox.com), a long-time IBM enterprise accomplice, will panoply how its loaded textual content modifying utility, EditLive!, can simplify the system of growing and contributing web content at the 2013 IBM notable net journey event. The convention, which focuses on how organizations can bring attractive internet experiences, takes location in Berlin, Germany, June 11-13, 2013. 

In January, Ephox unveiled EditLive! for IBM Connections, a wealthy text editor that lets Connections users quite simply create incredible content. EditLive! for IBM Connections extends a protracted partnership with IBM, totality through which EditLive! has empowered non-technical authors with the means to create remarkable content material inside IBM net content material supervisor.

"exquisite content is the key to an exceptional net adventure," according to Tom Smith, Ephox VP of international revenue and marketing. "Ephox loaded text modifying options aid organizations effectively form a contribution more content material and precipitate up the adoption of IBM Connections, guaranteeing they maximize their industry outcomes."

EditLive! offers a splendid wealthy textual content editing journey which in flip empowers users to create powerful content material, even if it exist in IBM Connections or IBM internet content material supervisor. content authors can exist greater productive and form a contribution larger character content material, therefore expanding the cost of the platform and their company.

pleasing capabilities of the EditLive! loaded textual content editor include: antiseptic reproduction and paste from Microsoft office, inline spell checking and thesaurus, picture import and editing, accessibility compliance checking, inline music adjustments and commenting, and damaged hyperlink checking.

apart from a June 12 speaking session titled "raise ROI and Adoption via an excellent modifying experience," conference attendees can descry a demo of EditLive! for IBM Connections and IBM internet content supervisor on the Ephox sales space. 

About EphoxUsed by means of tens of millions of developers and authors global, Ephox's EditLive! wealthy textual content enhancing application makes a speciality of transforming the net production adventure by bettering the productivity and fine of web site authoring and management. The company's expertise is licensed by way of leading net content management vendors together with IBM, EMC|Documentum, and Open textual content. For extra suggestions, discuss with ephox.com/EditLive, comply with us on Twitter, or like their fb web page. 

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

Rajat Paharia founder of Bunchball to communicate at IBM powerful internet journey 2013 | killexams.com real Questions and Pass4sure dumps

REDWOOD city, CA, may additionally sixteen, 2013 (Marketwired by way of COMTEX) -- Rajat Paharia, broadly diagnosed because the father of gamification, next week will divulge company leaders, company analysts and executives attending the IBM tremendous internet journey 2013 conference how strategically using video game mechanics can inspire personnel to totally bask in interaction with IBM Connections.

In a one-hour presentation on Tuesday, may 21, Paharia will picture how the very confirmed gamification strategies used to attract and hold valued clientele are assisting companies inspire their personnel to travail smarter and collaborate more advantageous, and motivating companionable communities to share and participate more.

Paharia is founder and chief product officer of Bunchball, the pioneer and market chief in gamification, and is the author of a approaching bespeak from McGraw-Hill: Loyalty 3.0: the way to Revolutionize client and employee date with huge statistics and Gamification.

In his can likewise 21 speak, Paharia will define actual-lifestyles case reviews that illustrate how inventive groups are leveraging massive statistics and the tenets of motivational science to form consume of gamification recommendations that influence in superior participation, sharing, collaboration, researching and achievement.

"agencies invested in IBM Connections are interested in making a extra collaborative, responsive and a professional staff," mentioned Paharia. "but those consequences are practicable handiest if employees form a company's companionable collaboration platform principal to their every day workflow. during this special presentation for IBM Connections companies, they will examine how firms can stimulate the 5 intrinsic motivators that exist in every adult -- the want to exist self sufficient, to obtain, to enrich, to form a difference, and to connect with others -- in ways that create a collaborative tradition of loyal and committed IBM Connections users."

event details:

WHAT: IBM super internet suffer 2013: "the consume of Gamification to Ignite the frequent Adoption and Utilization of IBM Connections and internet adventure solutions"

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

WHEN: Tuesday, can likewise 21 at 11:15 a.m.

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

About Bunchball: Bunchball is the market chief and visionary in gamification. Bunchball allows groups to enhance company efficiency during their ecosystem by means of creating totally lively and dependable customers, employees, and companions. Bunchball's comprehensive suite of innovative cloud-based solutions empowers groups to interact and motivate, resulting in improved worker productivity, client loyalty, viewers engagement, and ROI. Bunchball's world-class consumers comprise Adobe, HP, Cisco, MTV, Comcast, LiveOps, VMware and Hasbro. primarily based in Silicon Valley, Bunchball's buyers comprise Granite Ventures, Triangle peak companions, Northport Investments, and Correlation Ventures. For greater suggestions, visit www.bunchball.com, their blog at www.gamification.com, or comply with @bunchball.

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

supply: Bunchball


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

New IBM utility Transforms the Digital event | killexams.com real Questions and Pass4sure dumps

ARMONK, N.Y., July 13, 2012 /PRNewswire/ -- IBM (NYSE: IBM) these days introduced new software that helps CMOs and CIOs transform the digital event for personnel, shoppers and lovers across a vast latitude of cell contraptions. 

(picture: http://photos.prnewswire.com/prnh/20120713/NY40055) (logo: http://photos.prnewswire.com/prnh/20090416/IBMLOGO)

the brand new utility brings collectively the power of companionable networking, analytics and mobile computing to entrance office operations and externally to shoppers, permitting companies to create fanciful net experiences. due to this fact, groups can gain quicker perception on customer buying patterns and client sentiment allowing them to extra without laggard attain and interact their audiences. 

As Part of concurrent news, IBM is likewise announcing the completion of a digital transformation project with the totality England lawn Tennis membership. by way of touring the new www.wimbledon.com from quite a lot of instruments including the iPhone, iPad, Android and different tablets, fans can share counsel, bask in interaction with and connect to The Championships as if they were really there seeing the performs in actual-time.   

The website likewise integrates with a new online television channel, reside @ Wimbledon, alongside IBM's apt time happy evaluation tool, SlamTracker, bringing the most comprehensive digital event to consumers.

"Working with IBM, they now bask in created a new digital adventure that goals to showcase the fanciful thing about Wimbledon to their millions of enthusiasts totality over. It allows them to definitely bask in interaction with the Wimbledon journey as not ever earlier than," observed Mick Desmond, commercial Director at the totality England lawn Tennis membership.  "friends can comply with the development of their favourite players, view clips of are animated suits, view highlights of the day's motion and accept ratings and consequences delivered in true-time.  it's an more and more interactive and racy online adventure that draws fans, players and the media in ever-more desirable numbers."

With the growing number of cell instruments, companionable networks and companionable media outfit on the upward push, CMOs battle to attain their audiences. on the identical time, CIOs are struggling to give access to company facts on totality types of device for a geographically disbursed group of workers. Given the company realignment between advertising and marketing and expertise, the CMO and CIO can not manage to pay for to operate on sunder degrees. To exist triumphant, they will must forge a shared agenda to carry company effects via innovation and effectivity, working collectively to streamline their technology needs. The convergence of companionable and cellular is prompting businesses to revisit a long time-ancient web page to create exceptional net experiences to attain and bask in interaction with their audiences.

building on these improved demands, IBM is offering a new consumer adventure Suite giving tens of millions of marketing specialists the energy to manage and integrate totality types of statistics on their internet sites and then resolve it for deeper insight into consumer purchasing patterns and sentiment. additionally delivered nowadays, the new IBM Intranet journey Suite pulls together enterprise assistance and information, customized content material and information, and companionable media and analytics, enabling personnel to join, collaborate and access suggestions at every time, from anyplace.

At European industrial automation technology company Omron, personnel are connecting advantage and technical information in the course of the company's Intranet, assisting to meet the particular wants of their purchasers. Omron delivers an exceptional web adventure to its 1,seven hundred European employees via a separate communique platform that embeds primary companionable information into the daily workflow.  Omron has sped expertise sharing across boundaries and between departments, enabling employees to sheperd valued clientele more advantageous and faster.

"the realm is altering and is becoming more and more linked and social," observed Michel Min, Head of Strategic communication & eMarketing, Omron Europe B.V. "on account of this, they recognize their consumers are altering as well, which is why it exist increasingly faultfinding to exist certain their sales groups bask in the preempt guidance at the amend time."

Analytics to assist marketers bask in interaction Audiences

From digital advertising and cell commerce, to sites and companionable media, entrepreneurs are inundated -- often paralyzed -- with the aid of facts amassed from buyers via searches, buy histories, facebook "likes" and comments on Twitter. coalesce that with records about in-keep traffic, conversations with convoke centers and updates from suppliers, cutting-edge entrepreneurs confront a regular deluge of statistics ready to exist sifted for nuggets of intelligence they could act upon to enhance their business.

by 2017, the CMO can bask in more desirable manage of the IT finances than the CIO, according to Gartner(1). advertising and marketing budgets will develop 7-8 p.c over the subsequent 365 days, which is 2-3 instances that of IT budgets. despite the fact, despite their turning out to exist reliance on expertise and their hovering budgets, CMOs without problems admit they want the advantage that IT requires.  in accordance with the IBM CMO analyze, while 79 p.c of CMOs predict excessive ranges of complexity of their job over the next five years, most efficacious 48 percent suppose organized to contend with it. 

on account of this, or not it's vital for CMOs to not only exist privy to and video panoply the companionable conversation, but to really hook into account the sentiment and bask in interaction one-on-one with that consumer. Taking it one step extra would exist to integrate these conversations without laggard into the organization's web web page, offering one region to both network and shop.

the new IBM customer journey Suite offers CMOs with the vigour to maneuver and combine totality kinds of information on their internet sites after which resolve it for deeper insight into customer purchasing patterns and sentiment. net statistics has advanced these days to consist of companionable media, videos, and web-based mostly varieties, as well as common enterprise facts similar to economic, consumer and order records, and transactions.  The software suite pulls collectively IBM's market-leading enterprise portal, internet content material management, forms, and enterprise companionable networking utility into a separate view.

CIOs growing high-quality Intranets To assist personnel gain insight from information Deluge

the new IBM utility additionally helps industry leaders prolong their corporate intranet to a huge latitude of mobile contraptions in order to deepen employee collaboration and counsel sharing.

in accordance with IDC, employees usually descry up to a 30 % enhance in productiveness the usage of companionable outfit internally to comprehensive their work(2). With limitless access to any class of information, patrons are expecting this identical even of assistance availability in their skilled lives, in an pains to travail efficaciously and compass enterprise desires quickly.

the brand new IBM Intranet adventure application brings the vitality of companionable and analytics capabilities to CIOs and features of industry personnel helping corporations innovate and evolve their inside operations and communications. The solution pulls collectively company counsel and records, customized content material and information, and companionable media and analytics, enabling employees to connect, collaborate and entry guidance at every time, from anyplace.

for instance, IBM's new intranet platform gives HR executives and industry leaders with application to assist employees greater interact throughout networks and enterprise devices, and entry guidance from numerous sources together with exterior and internal information feeds.

Working with IBM and its associate Portico, Omron created an award-winning industry intranet, known as Ozone internally, assisting to create a single-supply conversation and collaboration platform for totality 1,700 European personnel. The IBM Intranet journey Suite integrates with external companionable media, including Twitter, LinkedIn and YouTube, permitting personnel to prefer and choose which functions they need in their Intranet view. for instance, a sales manager can leverage the Cognos utility integration to form inevitable a transparent view into monthly income studies through vicinity, in addition to aggressive history on new product updates and forecasts.

"it exist simple to present notable companionable assistance within the preempt industry context embedded in worker's each day workflow," endured Min. "by using measuring, analyzing and filtering companionable suggestions, after which injecting these insights to the amend people at the preempt time, apt industry cost will likewise exist generated with the aid of bringing technical wisdom without laggard to the client."

Omron has the ambition to connect personnel international, with its Ozone intranet being accelerated into Asia these days. Omron Europe is likewise trying out cellular entry for totality frequent instruments including the iPad.

Sources:(1) Gartner Webinar, by 2017 the CMO Will spend greater on IT Than the CIO, January 2012  (2) IDC, Measuring for fulfillment: companionable enterprise ROI, Doc # DR2011_T7_ET, Mar 2011   

Media Contact:Hanna Smigala IBM Media members of the family 1-720-342-5343smigala@us.ibm.com

supply IBM agency

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

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

Screenshot of sitepoint.com as viewed in the iPhoney application Enter the iPhoney: a petite (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 consume with iPhone. It gives you a canvas on which to test the visual character of your designs.

This cleverly named app is a powerful tool for developers who want a scabrous view of whether their site will exist usable by the one million iPhone owners who signed up in the first six days. With sales like 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 bask in 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 ship 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 twinkle and JavaScript, which aren’t yet supported by the iPhone.
  • You can quickly rotate the viewport, as you can on the real 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 totality on their own! I don’t know why phone companies don’t tender something like this as a free download — what better way to promote your phone, while at the very 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 suffer 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 likewise the creator of Charlie Weatherburn and the Flying Machine.

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

    Analytics Beyond Spreadsheets

    For many years, Microsoft outdo and other spreadsheets were the tools of altenative for industry professionals who were looking to visualize their data. But spreadsheets had their limits for many industry intelligence (BI)-related tasks. Even today, trying to creating charts analyzing complex datasets in outdo can still exist frustrating. Sometimes you start with the wrong benevolent of data, for example, or you may not know how to maneuver 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 need has arisen for efficacious tools that people of totality skill levels can consume to form sense of the wealth of information created by businesses every separate day.

    Spreadsheets likewise plunge down when the data isn't well-structured or can't exist sorted out in shapely rows and columns. And, if you bask in millions of rows or very sparse matrices, then the data in a spreadsheet can exist painful to enter and it can exist hard to visualize your data. Spreadsheets likewise bask in 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 very spreadsheet.

    A spreadsheet containing up-to-the-minute data can likewise exist a problem, particularly if you bask in exported graphics that need to exist refreshed when the data changes. Finally, spreadsheets aren't splendid 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 form consume 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 totality about the math more than the model itself.

    This is totality a long-winded way of aphorism that when businesses consume a spreadsheet, they are actively sabotaging themselves and their faculty to consistently accept valuable insights from their data. BI tools are specficially designed to advocate businesses better understand their data, and can prove to exist a huge benefit to those upgrading from what a limited spreadsheet can do.

    What Is industry Intelligence?

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

    BI is an umbrella term meant to cover totality of the activities necessary for a company to spin 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 being and operations. The ultimate goal is being able to multiply 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 shrink 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 execute 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 technique 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 uniform progression towards more in-depth knowledge about the business, competitors, customers, industry, market, and suppliers, to title just a few practicable metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too great and complex to exist entirely handled by mere humans. Early efforts to execute 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 inevitable operations or software buckets. This was the case unless IT took on the stint of integrating various silos, typically through painstaking and highly manual processes.

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

    Self-Service BI and Data Democratization

    The BI tools that were common half a decade or more ago required specialists, not just to consume but likewise to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to accept and understand the business—the company determination 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 industry whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a succession of "standard" reporting that analysts would dash on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can exist 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 exist available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and determination 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 tool arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can hook advantage of this distributed BI model. Key tools and faultfinding data bask in 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 benevolent of analysis becoming available to the organization, namely, that of experienced, front-line industry people who not only know what data they need but how they need to consume it.

    The emerging crop of BI tools totality travail hard at developing front-end tools that are more intuitive and easier to consume than those of older generations—with varying degrees of success. However, that means a key criteria in any BI tool purchasing determination will exist to evaluate who in the organization should access such tools and whether the tool is appropriately designed for that audience. Most BI vendors bespeak they're looking for their tool suites to become as ubiquitous and smooth to consume for industry users as typical industry collaboration tools or productivity suites, such as Microsoft Office. no one at all bask in gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI tool suites watch to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should happen now), and predictive (what will happen later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a rapid and efficacious system of transferring information from a machine to a human brain. The view is to region digital information into a visual context so that the analytic output can exist quickly ingested by humans, often at a glance. If this sounds like 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 compass more granular information on one or more aspects incorporated in the bigger picture. For example, new values can exist added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can spin a static visual into an animation or a dashboard.

    The best visualizations execute not seek artistic awards but instead are designed with function 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 leer impressive at first glance but, if your audience needs advocate 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 tender 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 likewise third-party and even free data visualization tools that can exist 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 industry analyst. But I likewise kept in intelligence the viewpoint of users who might bask in no familiarity with data processing or analytics. I loaded and used the very data sets and posed the very queries, evaluating results and the processes involved.

    My direct was to evaluate cloud versions alone, as I often execute analysis on the flit or at least on a variety of machines, as execute 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 case of this is Tableau Desktop, a favorite tool of Microsoft outdo users who simply bask in an affinity for the desktop tool (and who just flood to the cloud long enough to share 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 tool over a web tool anyway." Again, I don't doubt Microsoft's pretension but that does look weird 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 tool preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a unadulterated cloud player. The tool is designed to resolve 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 create them, simply to let buyers know they exist. IBM Watson Analytics is one tool with the faculty to extend to highly advanced features and was likewise one of the easiest to consume upfront. IBM Watson Analytics is well-suited for industry analysts and for widespread data democratization because it requires little, if any, knowledge of data science. Instead, it works well by using natural language and keywords to form queries, a characteristic that can form it valuable to practically anyone. It's highly intuitive, very powerful, and smooth to learn. Microsoft Power BI is a sturdy second as it, too, is powerful while likewise familiar, certainly to any of the millions of Microsoft industry users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they totality bask in their own pros and cons. We'll exist 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 wield streaming data. For many users, that won't exist a problem in the immediate future. However, for those involved with analyzing industry processes as they happen, such as website performance metrics or customer deportment patterns, streaming data can exist invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and form streaming data and streaming analytics a must-have feature. Many of these tools will bask in to up their game accordingly so, unless you want to jump ship in a year or two, it's best to umpire ahead when considering BI and the IoT.

    BI and tremendous Data

    Another region in which self-service BI is taking off is in analyzing tremendous Data. This is a newer development in the database space but it's driving tremendous growth and innovation. The title is an apt descriptor because tremendous Data generally refers to huge data sets that are simply too tremendous to exist 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 companionable media tools (to title a few) that bask in become so common over the terminal several years.

    Not only execute these tools generate loads of new data, they likewise often generate a new benevolent 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 benevolent of data is ponderous on text (even free-form text) while likewise containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this benevolent of data comprise the customer behavior-tracking tools you consume to descry 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 companionable 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 resolve for this need, but organizations still 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 tremendous Data analysis standards. The golden yardstick here is Hadoop, which is an open-source software framework that Apache specifically designed to query great data sets stored in a distributed fashion (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query tremendous Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query totality of your industry data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to achieve your queries, but it's typically easier and more efficacious to consume 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, totality advocate this. However, each requires varying levels of configuration or even add-on tools to execute so—with IBM, Microsoft, and Tableau offering exceptionally profound capabilities. However, both IBM and Microsoft will still await customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the right BI Tool

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

    Getting the overall workflow down with these tools will hook some study and discussion with the people you'll exist 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 bask in 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 linger there.

    In recent years, companies bask in been taking advantage 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 notable to form certain that your employees actually know how to consume these BI platforms so that you can form certain your investment was worthwhile. There are many ways of approaching this, but using the right online learning platform might exist a splendid region to start looking.

    Given the wide cost range of these products, you should segment your analytics needs before you form 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 form it smooth to accept started. Plus, they watch to bask in great ecosystems of add-ons and partners that can exist a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop still has the largest collection of charts and visualizations and the biggest partner 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, totality three products received their Editors' altenative award. Tableau Desktop may bask in a tremendous cost tag depending on which version you choose but, as previously mentioned, it has an exceptionally great and growing collection of visualizations plus a manageable learning curve if you're willing to pledge some pains to it. Microsoft Power BI and Tableau Desktop likewise bask in great and growing collections of data connectors, and both Microsoft and Tableau bask in their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' development teams so it's a splendid view to spend some time looking through those community forums to accept an view where these companies are headed.

  • Pros: Extremely user-friendly. fanciful automatic report generation. Impressive advocate availability.

    Cons: Automated reports can quickly become defaults. sheer learning curve that might addle beginners.

    Bottom Line: Zoho Reports is a solid option for general industry users who might not exist knowledgeable in analytics software. It's likewise available at an attractive price.

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

    Cons: Unable to execute real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional industry intelligence (BI) app that offers a sturdy 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' altenative 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' altenative honor for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

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

    Cons: full 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 exist too difficult for self-service industry intelligence (BI). Analytics process still needs to exist ironed out. Natural language capability can exist limited.

    Bottom Line: Sisense is a complete platform that should exist common for experienced BI users. It may plunge short for beginners, however.

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

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

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

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

    Cons: Customer advocate has way too much automation. Focus on marketing and advertising can exist 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 title in website and mobile app intelligence. It has a sheer learning curve but it is an awesome industry intelligence tool.

    Read Review
  • Pros: Designed with general industry users in mind. Solid return on investment.

    Cons: The data you can consume 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 form it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with abundant extenders. Responsive pages form 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 industry already uses SAP's HANA database platform or some of its other back-end industry platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But exist warned that there's a sheer learning curve and a notable dependence on other SAP products for full functionality.

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

    Cons: Poorly designed user interface. sheer learning curve.

    Bottom Line: Chartio excels at edifice a powerful analytics platform that experienced industry 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 petite teams.

    Bottom Line: Looker is a powerful self-service industry intelligence (BI) tool that can advocate unify SQL and tremendous Data management across your enterprise.

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

    Cons: complex pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service industry intelligence (BI) tool that delivers the best collection of user access roles among the BI tools they tested, and likewise 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 crucible available. Training webinars can exist costly.

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

    Read Review
  • Pros: Very smooth to accept started. Nice team management and collaboration features.

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

    Bottom Line: While Tibco is still making the transition from a desktop to a cloud software vendor, its self-service industry intelligence (BI) tool Tibco Spotfire is a powerful way to start visualizing your outdo data.

    Read Review
  • Pros: Excellent analytical advocate for Intuit QuickBooks. Very smooth setup.

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

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

    Read Review

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


    The world is transforming and they are in the middle of the separate largest transformation the world has even seen since the Industrial Revolution nearly 250 years ago. tremendous Data powered by ersatz Intelligence (AI) and Machine Learning is the next natural resource, like air, oil, water, and the convergence of tremendous 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 exist 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 tremendous Data.


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

    • Gartner predicts that 30% of totality 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 sheperd 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 chance in the ML market over the next decade.

    • IDC estimates that by 2020, transactions on the internet will compass 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 persuasion that cloud is no more ‘optional for companies to remain competitive. • According to IDC, 60 percent of ML will dash 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% multiply 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 pecuniary Services are the early adopters of AI and will descry the highest growth rates driven by AI in 2035. (Source – McKinsey and Accenture Research).

    AI can form immediate contributions towards faultfinding industry decisions leading to increased profitability for the organizations. Some of the areas where the impact of AI can exist 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 pecuniary services. AI drives significant cost, time and process-related savings rapidly for totality the industries. Availability of high-speed bandwidth, computing resources and growth in tremendous Data are the three key drivers for ersatz 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 advocate determination 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 range of functions like customer services, sales & marketing, production challenges, data analysis and predictive analysis for determination making. The data loaded organizations bask in a transparent advantage because of MLs faculty to learn and ameliorate 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 industry decisions, further adding to an inevitable need for ML implementation.

    Big Data

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

    Big Data is making an impact across various industry operations like 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 tremendous Data are industry 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 compass $34.6 Billion.

    SaaS will continue to grow as second largest segment in cloud services market. Cloud services market will suffer additional exact to migrate existing in-house infrastructure to the cloud because of ersatz 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 terminal two years alone. Today, less than 1% of the worlds data is analysed, according to Digital Universe Study. Implementing AI technologies bask in the faculty to harness the full potential of data.

    AI and Machine Learning bask in been discussed for decades but the convergence of tremendous Data and Cloud with AI and Machine Learning is real now for three reasons:

    a. Computing power: Computing resources available today are exceptional. With access to technologies like 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 great volumes of unstructured and structured data is changing the information landscape at their disposal.


    The terminal 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 exist 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 descry 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 tremendous Data and Cloud can advocate reduce dependency on energy, availability, costs and consumption.

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

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


    AI will define industries both new ones and outmoded leveraging tremendous Data, Cloud and Machine Learning to transform data into a valuable knowledge asset and a leavening for disruption. Every human life and industry in this world will exist transformed with this disruption and millions of transformative businesses will exist created. The result is a gallant new world and a transformation of an outmoded world.


    The chance - Discovering AI is the new normal

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

    Your company solves the worlds complex and most racy industry 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 totality the transformational AI needs of an organization — from strategic workshops and ready-to-deploy solutions, to implementation of transformative industry solutions through its AI as a Service (AIaaS) leveraging tremendous Data, Cloud & Machine Learning experience.

    Integrated Offerings

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

    Building the Foundation

    In 2015, your company envisaged a two-year industry scheme for 2015-16 and 2016-17 to focus on three areas – edifice partnerships, acquiring referenceable clients in its chosen verticals and acquiring relevant expertise in technologies. In 2016-17, your company achieved the revenues of INR 100 crores while serving marquee enterprise clients like Schneider Electric, Hills Pet Nutrition and Iron Mountain. In the terminal two years, your company has set together the foundation that allows it to exist better prepared to hook advantage of the market opportunity.


    Through its partner 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 totality 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 edifice its AWS relationship and leveraging technology for the benefit of its customers. In 2017, your company has further strengthened its relationship with AWS by achieving tremendous 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 exist consulting, implementing and delivering solutions to customers, enabling them to unleash their teams potential. By leveraging products like by JIRA Software, JIRA Service Desk, JIRA Core, Status Page, Confluence, Trello and HipChat, customers are able to quickly collaborate on various issues and suffer 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 industry risks and optimize infrastructure investments, resulting in lower bounce rates and higher revenues.

    CA Technologies: Your company has joined CA Technologies partner 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 partner program to leverage ForgeRocks identity solutions.The partnership provides both existing and new customers with an added array of application migration, development and managed services offerings coupled with ForgeRocks Access Management, Identity Management, Identity Gateway and Directory Services. This will advocate customers that are looking for end-to-end solutions to hook advantage of their full suite of offerings.

    Microsoft Azure: Your company provides Microsoft Azure deployment and migration services to advocate 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, tremendous Data on Cloud and IoT.

    New Relic: Your company joined the New Relics partner 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 great percentage of its customer base. Oracle Gold Partner: Your company has obtained Gold partner status with Oracle making it eligible to develop, sell and implement the full stack of Oracle products and solutions.

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

    Rackspace: Your company has joined the Rackspace partner Network to provide its customers with a portfolio of Hybrid Cloud solutions. Rackspace is a leading provider of hybrid clouds, which enable businesses to dash their workloads where they dash 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 partner with Tableau making it eligible to integrate Tableaus software into its Cloud and tremendous Data solutions that it deploys to advocate clients unlock the power of data. The partnership will combine the global talent pool and client compass 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 headquarters with the faculty to provide 24/7 management of Public, Hybrid and Private cloud architectures.

    Certifications and Accreditations: Your company is appraised at the even 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 even for services in India.Your company is likewise certified withISO 9001:2008, ISO 27001:2005 which affirms that your company is highly committed to industry solutions and processes it follows in serving its clients.

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

    VISION 2020

    Your company is pleased to proclaim 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 hook 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 yield 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 edifice solutions for some of the worlds largest and most innovative enterprises. Your companys expertise across multiple domains makes it the preferred altenative for organizations seeking an AI partner 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 right talent and retaining them. Your company is well positioned to minimize the potential identified threats and risks, and the way it does is minute below:

    Changing Technological Trends

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


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

    Attracting and Retaining Talent

    Finding the right benevolent of talent and retaining them could pose a challenge for any industry like ours. The dynamic nature of technology, increasing exact from clients, etc., warrants the company to focus on finding the right benevolent of talent and their retention for its being and delivering sustainable growth. Hiring the best of the breed talent forms the core credit at CTE.

    Exchange rate risk

    A substantial Part of the CTEs revenues accrues in US dollars, therefore inevitably exposed to fluctuations in exchange rates of foreign currency. Any major change in foreign currency exchange rates will bask in an impact on the companys earnings.


    The IT Services industry is intensely competitive with local and MNC players having a sizable presence. Competitive pressure could adversely affect pricing strategy for services impacting growth and profitability. Over the years, CTE has developed profound domain knowledge 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 very period terminal 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 very period terminal year. As a result of multiply in the consolidated profit, Reserves and Surplus bask in 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 bask in been adjusted against equipoise 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 very period terminal 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 very period terminal 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 very period terminal 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 very period terminal 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 very period terminal year. As a result of subside in profits, and due to adjustment of accumulated losses and unamortised goodwill as on March 31, 2016 against equipoise of Securities Premium Account, Reserves and Surplus bask in 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 very period terminal 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 very period terminal 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 very period terminal year. The details of the pecuniary performance of your company are appearing in the equipoise Sheet, Profit & Loss Account and other pecuniary statements forming Part of this Annual report.


    Your companys board and management team monitor and form enhancements to your companys systems for internal control and risk management on an ongoing basis. Your companys efforts towards this travel beyond what is mandatorily required, with lively 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 totality assets are safeguarded and protected against loss from unauthorized consume 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 totality material respects and of providing protection against significant misuse or loss of company assets. These likewise 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 firm 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 bask in been reviewed extensively during the year by internal auditors and statutory auditors. They bask in expressed an persuasion 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 splendid travail they execute in the organization. Sound human resource development policies of your Company ensures that each employee grows as an individual and contributes to the performance of your Company. It likewise works towards edifice a travail culture aimed at achieving higher performance orientation.

    Our employees are their most notable and valuable assets. totality your Companys policies are focused towards a healthy, blissful and prosperous travail environment for its employees and thereby likewise 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 comprise professional working environment, training and development, and compensation.


    Certain statements in this report or elsewhere in the Annual Report may contain statements concerning Cambridge Technology Enterprises Limited and its growth prospects, expected pecuniary position, industry strategy, future development of the companys operations, general 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 matter 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 faculty 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 vary 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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