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PARSIPPANY, NJ--(Marketwired - Aug 7, 2013) - Revelwood, an IBM Premier enterprise companion and leader in designing and imposing IBM enterprise Analytics purposes, announced these days it's the first IBM company companion worldwide to earn IBM Cognos TM1 Gold Accreditation. The company completed this by using working with lots of of purchasers on successful IBM Cognos TM1 efficiency administration and analytics functions.
"Revelwood is one in every bit of IBM's longest standing companions working with Cognos TM1," mentioned token Enslin, enterprise Analytics Accreditation software manager, IBM. "This accreditation is a testament to the depth and breadth of Revelwood's potential in helping their consumers obtain the most desirable spend of IBM Cognos TM1 -- which translates into enhanced resolution making and measurable commerce merits."
The IBM Cognos TM1 Gold Accreditation is a fraction of IBM's software drill Accelerator, which turned into launched in early 2013. This application is designed for IBM company companions to accelerate and raise their means to successfully enforce options which leverage IBM utility. to breathe able to earn this accreditation, Revelwood needed to suffer 15 practitioners licensed on quite a few elements of Cognos TM1 and had IBM overview and validate a cross-part of successful Cognos TM1 deployments Revelwood has delivered to their valued clientele.
"This fulfillment is directly concerning their stringent requirements for Revelwood consultants to suffer in-depth and palms-on potential of Cognos TM1," stated Ken Wolf, President and CEO, Revelwood. "The regular size of time their consultants had been using Cognos TM1 is eleven years. This abysmal event is why Revelwood is in a position to carry wonderful efficiency administration and commerce analytics purposes on-time and inside cost range."
extra IBM Awards
The IBM Cognos TM1 Gold Accreditation is only one of a few prestigious honors Revelwood has earned from IBM. Revelwood become awarded the 2013 IBM company Analytics means Authorization commerce companion fulfillment Award, which acknowledges IBM commerce companions who suffer tested excellence in offering company cost with enterprise Analytics, Predictive Analytics, commerce content management and suggestions administration utility. Revelwood became chosen from enterprise companions worldwide who suffer offered "ingenious options and grotesque client value" for the Revelwood™ BPM Suite, an out-of-the-field implementation accelerator for enterprise economic planning and reporting.
Revelwood additionally gained the 2011 IBM Beacon Award in the surprising enterprise Analytics Innovation category for the Revelwood BPM Suite. Winners of the Beacon Awards are selected from greater than ninety five,000 enterprise companions worldwide through main industry journalists, analysts and executives for 27 award areas.
About Revelwood Revelwood is an IBM Premier enterprise partner offering implementation functions, practising and lead that carry ease, speed and adaptability to economic planning and reporting, enterprise intelligence, fiscal governance and income performance administration. Combining IBM Cognos company Analytics software with greatest practices and pre-configured, out-of-the-box applications relish Revelwood's BPM Suite™ and performance Toolkit™, Revelwood helps agencies to speed up the constructing and deployment of performance management solutions. a whole bunch of a hit implementations and proven ROI for dozens of Fortune 1000 and mid-market organizations are just a number of motives corporations revolve to Revelwood for their performance management wants. more information on Revelwood can likewise breathe acquired through touring http://www.revelwood.com or calling 201.984.3030.
TM1 isn't going any place, IBM Cognos continues -- although huge Blue hasn't yet dominated out altering its manufacturer.
it breathe been an extended and extreme street for the venerable TM1 OLAP engine, which has twice changed possession over the last 10 months.
First, in October of 2007, TM1's developer -- the previous Applix Inc. -- changed into bought with the aid of Cognos Inc. lower than two months later, Cognos was itself acquired via IBM Corp. given that then -- and regardless of guarantees by both finish rectify by Applix valued clientele and leverage TM1 as the centerpiece of its Cognos monetary efficiency management (FPM) platform -- issues went dismal on the TM1 entrance.
except this week, that's. nowadays, IBM Cognos introduced a recent edition 9.four update for TM1, touting the anticipated efficiency and usability enhancements, together with recent internationalization improvements that, officers argue, emanate from gigantic Blue's stewardship of the Cognos and Applix brands.
TM1 is never going anywhere, officers declare -- however IBM hasn't yet dominated out changing its company. in addition, despite the fact that IBM Cognos is hard at drudgery incorporating TM1 into its BI and PM products -- a technique that includes each integration and reconciliation -- "legacy" Applix customers will nonetheless breathe in a position to purchase the bread-and-butter TM1 OLAP engine, by pass of TM1 MidMarket edition, which IBM Cognos plans to market to SME varieties.
"We're providing a dedicated mid-market providing," says Applix veteran Joe Pusztai, now product advertising supervisor for TM1 with IBM Cognos. "we are very a much deal dedicated to preserving the skill to spend TM1 in a standalone, all-in-one potential. We're now not ever going to obtain consumers purchase application that they don't want."
Pusztai pointers that the TM1 brand itself may waddle away: "The TM1 identity may now not really carry forward. They noiseless haven't determined about that, but the specific technology itself … that [is something] they can continue to hoist forward" on a standalone basis," he asserts.
TM1 edition 9.1 was a relatively age product when Cognos picked it up final year. then again, Pusztai says, there may breathe at every bit of times latitude for growth. Enter TM1 9.4, which boasts a few improvements, starting with a office (active forms) that smacks of the Dynamic Slices skill which Applix delivered in TM1 9.1.
there's a explanation for that, he acknowledges. "That [Dynamic Slices] skill has been more suitable vastly in the 9.4 unencumber below a characteristic known as lively forms." Pusztai describes energetic kinds as "simply a version 2.0" update for Dynamic Slices, enhancing upon its predecessor in a brace of respects -- e.g., enabling entry by means of TM1 web client periods (Dynamic Slices is Excel-simplest), supporting system-based mostly row definitions (Dynamic Slices helps subset-most effectual definitions), the usage of Excel's autochthonous formatting metaphors to carry "plenty-better report formatting, and supplying aid for server-side zero suppression capabilities.
This remaining is a large growth over Dynamic Slices, which first pushed records prerogative down to the client earlier than filtering it. This led to appreciable bloat, Pusztai keeps. "we'd ship every bit of of the information down the wire after which the customer would filter it, as opposed to what we're doing now, [which is] suppressing it at the server, so that that statistics under no circumstances goes down the wire," he explains.
we would just relish the potential to embed Python, R or Spark code inside Cognos Analytics… this could permit us to prolong the functionality past what comes out of the container of Cognos or even Watson Analytics and truly obtain this an impressive BI and analytics device.
So the enterprise purpose was basic — skate to the plot the puck is going to breathe because the market grows. They want to give their commerce consumers an recess to recess adventure and gear the plot their information science teams and techniques can mature.research
the first step changed into to more suitable reckon their users and validate some of their assumptions.Persona evaluate one of the most options and questions captured every bit of over their initial persona overview
records science is recent to Cognos, however other products inside the IBM Hybrid Cloud household suffer done drudgery in this space. They leveraged their persona analysis as a starting point to more desirable suffer in mind Chris –- their data scientist and first persona.
The 2d step become aligning around their secondary clients, Lucas and Emette. existing Cognos users definitely to drudgery carefully with information scientists in their org.user research
the usage of one of the crucial questions they generated from their persona overview, installation a number of customer interviews. They wanted to improved breathe aware their present records science workflow, the dimension and distribution of their teams and what their current workflow looked like. prerogative here’s are some highlights from what they found:
We additionally looked on the leisure of the commerce to observe how their competitors similar to Tableau and energy BI stacked up. What had been the gaps in their solutions, the plot did they suffer an break to differentiate their personal strategy, and how might they add cost via integrating with different IBM items.
For both Tableau and energy BI, the integration limited and not scalable for deployment across giant companies. They additionally identified some potential security issues.
We determined to align ourselves as intently as they may with Watson Studio as a result of frankly — based on their analysis, they got it correct. Their integration of existing data science materiel involved a light-weight contact. any individual conventional with Jupyter would feel prerogative at domestic, and clients might with no distress usher in backyard assets and continue their work, instead of breathe compelled to learn a brand recent device. Aligning with Watson Studio would likewise assist breathe positive a effortless glide direction for their customers between Cognos and the leisure of IBM’s laptop learning concentrated items.Aligning round a common vision
as soon as they had a basic, shared figuring out of the company needs and alternatives, in addition to their users and their needs, they essential to position this into motion and align on a single vision for their MVP.Writing hills
if you’re now not customary with the thought of hills, they’re probably the most keys to commerce Design considering at IBM, and the pass their groups work. which you could study greater about them prerogative here, however briefly:
Hills are statements of intent written as significant person outcomes. They narrate you the plot to go, now not a pass to derive there, empowering teams to explore breakthrough ideas with out dropping sight of the goal.
feel of it relish a wants observation on steroids. every bit of hills suffer three accessories:
The Who: who's your goal consumer?
The What: What problem are you fixing, or what are you enabling them to do? what's the user outcome?
The Wow: What’s the market differentiator? What makes this respond pleasing and impactful to your users (and in flip to your enterprise)? The wow should breathe concrete and measurable.
here’s some examples from the above hyperlink.
one other factor about hills — they are living documents. A hill’s fundamental goal isn’t to act as a commandment set in stone. It’s to uphold teams aligned around a shared, person focused outcomes. it could possibly and may breathe subtle or even changed every bit of collectively as their figuring out improves.
Above are the hills they first got here up with, going from sticky notes to a primary draft. under are the very hills after a few revisions over time.Wrapping issues up and finding out what they don’t comprehend
while the research was an ongoing effort, the bulk of the above drudgery become tackled over a multiday kick off workshop I ran with my dev team and their PM in Ottawa.
After they had written the first draft of their hills, it was time to investigate next steps. What were the issues building could start on automatically, and what issues nonetheless vital investigation? As they discussed, they kept uncovering further and further questions.
I asked my teammates to write down their questions down and sequel them up. as soon as every bit of of the questions had been up, they drew a grid, then mentioned, grouped and prioritized each and every question.
this is principally effectual in instances the plot groups are dealing with loads of ambiguity. Doing this now (and following it up every bit of over sprint retros), helps groups partake expertise, assume into account the risks, prioritize what wants attention and (confidently) uphold away from nasty surprises in a while.
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At colleges large and small, gigantic Data is much more than a buzzword. Nearly half of higher education institutions are harnessing it to boost retention, employing predictive analytics to identify students who may breathe at risk in hopes of keeping them moving toward graduation. Yet increasingly, colleges are leveraging data analytics to forecast their revenues, target fundraising efforts and streamline commerce operations.
Jon Allen knows the breadth of data analytics firsthand. As the CISO and coadjutant vice president at Baylor University in Waco, Texas, he and his team took Splunk software and turned it into a Swiss army knife for managing data across a network of more than 20,000 machines.
Jon Allen, CISO, Baylor University.
Allen began using Splunk on a minute scale about four years ago, simply to comply with peripheral component interconnect requirements for network log monitoring. But the longer the university looked at Splunk, the more ways they found to spend it, he says. What began as a straightforward application grew into a software license that now consumes 400 gigabytes per day
For example, Baylor uses Splunk to slash turnaround time on abet desk queries, such as assisting users who are locked out of their accounts. Now, instead of spending hours poring over logs for each domain controller, server admins can cast them into Splunk and find the respond in minutes.
“This is basically Google for your machine data,” says Allen. “ ‘How am I going to understand what is going on with every bit of these logs?’ That’s what Splunk does.”Data Provides a transparent Vision into Operations
As CISO, Allen uses Splunk to analyze network logins and correlate threat data between the server logs, firewalls and intrusion prevention systems. Baylor has even used Splunk data to forecast the best places to install access points as its wireless network expands. More recently, Baylor has brought in logs from some of the 130-plus cloud services it has deployed, such as Box, CrashPlan, Duo and Fischer IDM.
“Now they suffer visibility into their hybrid data center,” says Allen. “I don’t care if something is happening in the cloud or on-premises. I can discern what’s going on inside my organization.”
Allen says that Baylor has barely tapped Splunk’s potential for predictive analysis across a sweep of university departments fervent to assume edge of its capabilities. The real value of Splunk, Allen says, is its skill to deliver not only information, but insight: “I can suffer gigs and gigs of data — who cares? But if I can actually obtain something meaningful and actionable out of that data, that’s important.”Addressing the Retention Question
Many universities are just starting to assume edge of gigantic Data tools, says Alan Duncan, a research director at Gartner. Others are noiseless at the talking stage.
Much of the discussion centers on how to ensure students tarry in college long enough to complete their degrees, he says. By tracking data such as students’ test scores and even of date in online learning environments, institutions quest to identify students at risk and intervene before it’s too late.
Retention rates likewise suffer sober financial implications: If students drop out, a university could lose out on tuition payments. Beyond that, it costs more to recruit a student — reflect marketing, travel and administration expenses — than to retain one. In the long term, students who don’t finish college are less likely to pay off their student loans and to uphold an alma mater as donors.
“There are both academic outcomes and institutional outcomes, and the two can breathe uncomfortable bedfellows,” Duncan says. “Institutions are interested in the welfare of students, but they likewise suffer to derive paid for the educational services they provide.”Analytics for financial Forecasting
Budgeting and financial forecasting are the primary reasons that Northwestern University outside Chicago uses IBM Cognos TM1, says Lauren J. Pahnke, senior systems analyst for Northwestern’s finance, facilities and research administration systems.
In preparation for each fiscal year, every department submits a projected budget. These are entered into Cognos TM1 and imported into the university’s financial system, where adjustments can breathe made once the fiscal year begins, Pahnke says. The university then brings budgets and actual numbers back into TM1’s forecasting application, which departments spend to track their financials over the course of the year.
“We used to finish every bit of this in Excel,” she says. “But it’s just not maintainable. Now they can discern the detail going into people’s calculations, where the numbers came from and what their assumptions were. Before TM1, they couldn’t see any of that.”
In 2015, Northwestern added a tuition forecasting module that lets managers of academic programs enter an estimated head matter and tuition rate, then project what a program’s revenue will observe relish and where it will flow, says Pahnke. However, adoption of that forecasting instrument has been slower than anticipated.
“We hope people will spend it because this is the benevolent of thing TM1 is very edifying at,” she says. “I reflect there’s a gigantic exigency for it, but it’s harder for people to obtain that transition. Their central budget office definitely sees the value in it.”
Need for speed in Solving IT Issues
In the future, data analysis applications are likely to become more varied as staff in diverse departments recognize their potential. For now, the biggest impact of solutions relish Splunk and Cognos is often felt in IT departments, particularly when such tools enable teams to accomplish more with fewer resources.
At Laguna College of know-how + Design in suburban Los Angeles, for example, a two-person IT staff is amenable for approximately 1,000 students, staff and faculty. LCAD uses Splunk as a force multiplier, automating the collection and analysis of network log files, says Shawn Tetzlaff, the academic computing administrator.
With Splunk, Tetzlaff can discern how well each server is performing, how often it restarts and if students are committing access violations by illegally downloading movie or music files. Besides preserving bandwidth, the latter is valuable because LCAD, relish every bit of colleges, must comply with the Higher Education break Act, which requires institutions to obtain a good-faith effort to combat copyright violations.
It used to assume 25 minutes to drudgery backward from an IP address to figure out which student was violating the college’s acceptable-use policy. Splunk has reduced that time to less than five minutes, which frees up Tetzlaff for more valuable tasks.
“The speed at which Splunk queries the database and the nearly unlimited skill it gives you to parse that data is fantastic,” he says. “It’s already paid dividends in saving time for me, and I figure if it can rescue me that much time, they can figure out how to obtain it drudgery for others. We’re noiseless in the fledgling stages of realizing its complete potential.”
Only 20% of commerce intelligence requests should breathe routed through the IT department, according to Forrester Research Inc. in Cambridge, Mass. That leaves the majority of BI requirements to breathe completed by the commerce user.
While the 80-20 split is not a scientific ratio and was instead derived from anecdotal evidence, Boris Evelson, a principal analyst with Forrester, hopes it drives home a message for businesses.
“It could breathe 90-10, 70-30, 60-40 in different organizations,” he said. “But what’s valuable to realize is that if IT is amenable for more than 50%, the backlog of BI requirements will uphold growing.”
The advice comes out of a recent Forrester Wave report on self-service commerce intelligence (BI). The Forrester Wave: Self-Service commerce Intelligence Platforms, Q2 2012, led by Evelson, notes that the BI environment is unique compared with CRM, ERP, human resources or financial applications. In those cases, businesses can waddle at a more deliberate pace and noiseless will most likely discern a recrudesce on investment.
“[B]ut a BI application can become outdated the day it is rolled out,” the report reads. “Even within implementation times of just a few weeks, the world may suffer changed completely due to a sudden merger and acquisitions event, a recent competitive threat, recent management structure or recent regulatory reporting requirements.”
And that’s not the only differentiation. Unlike other enterprisewide systems, the requirements for a BI implementation may not breathe obvious until after the implementation is completed. That’s compounded by their different priorities: While commerce users direct to serve their clients; IT aims to hold the data to a positive standard, according to the report.
A self-service BI environment could empower commerce users while taking some of the pressure off of IT. To abet businesses waddle in that direction, Evelson’s research outlines 10 capabilities a platform must suffer and rates the top 12 products on the market.
“If you are a commerce user, there are self-service options for you beyond Excel,” he said. “If you are an IT pro, you can now suffer your cake and devour it too: You can give commerce users a much degree of self-service capabilities using enterprise-grade tools.”
Consider capabilitiesThe term self-service BI tends to imply tools that are easy-to-use – even instinctual. But “‘intuitive’ and ‘user-friendly’ are subjective terms,” according to the report.
Before purchasing self-service BI platforms, businesses should reckon the kinds of capabilities they want and the skill levels of the people building the applications. Those requirements, for example, may breathe different for an older generation of workers than for a younger generation who grew up on Google and Facebook.
As guidance, the report highlights 10 capabilities businesses should reckon during the evaluation process; the list includes automodeling, collaborative features, write-back functions and “migration to production.”
Before a commerce user can publish and partake a recent BI application -- even in a shared environment -- it should breathe “productionalized,” according to the report. This final stage loops the IT department into the process so that the standards it has sequel forth can continue to breathe met.
“The prerogative approach? A publishing action that kicks into motion a ‘move to production workflow,’ ” the report states, “or at least automatically notifies the arrogate IT resources.”
Vet the vendorsTo assess the product offerings by what it considers the top 12 self-service BI vendors, Forrester constructed a 31-criteria evaluation based on research as well as user, vendor and expert interviews.
“We included vendors with at least 100 in-production customers present in more than one major geographical region,” the report read. “We likewise focused on vendors that Forrester clients frequently mentioned or asked about in the context of commerce intelligence.”
The vendors had to provide the majority of the capabilities Forrester outlined in its report, spend SQL and MDX to query databases and provide BI tools that finish not suffer to breathe embedded into other applications. Based on these requirements, IBM Cognos Insight, which is based on the in-memory OLAP TM1 engine, was crowned the vendor with the strongest product offering.
IBM was joined in the “leaders” pool by a majority of the megavendor lineup: Microsoft, SAP and SAS. Tibco Software and MicroStrategy were likewise included among the leaders, but both seemed to straddle the line between the first and second tier of vendors.
Oracle was likewise present, but not among the leaders. It was included in the second tier, which Forrester refers to as “strong performers.” Forrester notes that Oracle has “persistently and successfully” closed the gap, citing Exalytics as an example. Though the recent Endeca acquisition was not considered for this analysis, the report gives it a significant nod.
“[It] has the potential to significantly boost Oracle’s overall position in the self-service BI market,” the report states.
Oracle was joined in the second wave by Information Builders, Tableau Software, Actuate, QlikTech and Panorama Software.
“In many specialized situations where positive features suffer specific importance, these vendors can even outshine and outperform the leaders,” according to the report.
In this vertical industry commerce intelligence (BI) special report, we've compiled Popular articles, FAQs and...
case studies on the managing and maintaining of BI software and other data management initiatives in three major vertical industries — healthcare, finance and retail.
In this section of their vertical BI special report, you'll find tips and best practices advice for initiatives and software implementation in the financial industry. You'll likewise find case studies about how banks and other financial institutions are upgrading their infrastructure to derive in line with the 21st century.
More vertical BI reports:
Business intelligence in healthcare: Special reportBusiness intelligence in financial services: Special reportBusiness intelligence in retail: Special report
Financial BI word and case studies
It's valuable for any company to breathe able to spend its data to create sound budgets, complete accurate reports and obtain better decisions. Nowhere is that more paramount than in the financial services industry, which has fallen under heavy scrutiny over the past brace of years. This section shows what banks and other financial groups are doing to better their BI and data management platforms and infrastructure.BI and analytical tools for the financial market
According to BI expert William McKnight, there is not necessarily one BI instrument that's best suited for the financial industry since "tools are not industry specific." Instead, the most valuable factors financial companies exigency to reckon for a successful application are data design, property of the data and data interpretation.
Instead, the most valuable factors financial companies exigency to reckon for a successful application are data design, property of the data and data interpretation.
According to McKnight, multidimensional OLAP is a data architecture that works well with financial data. Oracle/Hyperion Essbase and IBM Cognos are examples of such architecture. For financial groups looking to bolster intellectual property consideration around financial should observe into applications instead of tools, McKnight said. Oracle/Hyperion financial Management is a edifying example of a financial application.Financial industry keeping up with the times
In the 1970s, Pershing LLC was on the cutting-edge of IT when it started providing clients with electronic reports instead of paper-based consumer data reports. Nearly 30 years later, however, it was noiseless using the very dry, row-based reports and its customer data-related BI capabilities were stuck in a decade long gone by — i.e., no ad hoc querying or interactive dashboards.
It was time for an upgrade, according to Tony Berman, vice president of information delivery and eAnalytics at Pershing.
"We were always getting requests from their customers for more [data analysis capabilities]," he said. "They were looking for more resilient ways to observe at their customers and their behavior." So in 2002, Pershing sent out an RFP for a BI product that could integrate with its financial trading platform to allow clients to maneuver customer data and conduct advanced analysis. When the company finished evaluating different vendors it settled with WebFOCUS BI.
The implementation provided Pershing's clients with access to customers' account data as structured, ad hoc reports with tabular results, interactive dashboards and scorecards. It likewise allowed clients to finish every bit of their analysis from a single portal without the exigency of abet from Pershing's staff or IT.
According to Pershing, the most Popular report types suffer been prospective analysis, customer location analysis and filtering through customer data by age or account kind and then putting that info into context by comparing the results with industry-wide and individual market segments.Conquering budget woes with corporate performance management (CPM) software
One would reflect that a financial institution would suffer a sophisticated, or at least fairly modern, system in plot to handle most financial functions. That wasn't the case, however, when Jeff Hudson, VP of financial systems, first joined recent Alliance Bank (NAB) in late 2005.
The company was doing most of the basic financial tasks — including budgeting — via Microsoft Excel, plus running profitability numbers on a "stripped-down" edition of Hyperion's Essbase and printing out customer account histories with Microfiche. Because of every bit of this, budgets weren't done at the recess of the year because it was such a gigantic process and inaccurate, redundant and incomplete data was commonplace.
The impact was almost immediate as the bank was able to gash its budget time in half, from four months to two...
To start, Hudson knew NAB needed a set of BI and financial reporting tools that users would breathe snug using but likewise resilient enough to meet the bank's evolving data demands. NAB went through a rigorous evaluating phase, looking at about 30 online analytical processing (OLAP) vendors before deciding on Applix' TM1 reporting and analysis tool.
The impact was almost immediate as the bank was able to gash its budget time in half, from four months to two, because of TM1's skill to sprint multiple scenarios at the very time and the skill to add extra scenarios on the fly, when needed. And, because of an effortless interface, NAB's CFO conducts every bit of his ad hoc queries analysis in TM1. One of the downsides, NAB noted, is that the system runs slower towards the recess of the budget season as employees try to complete their numbers by deadline.
More on vertical BI:
More vertical BI reports:
Business intelligence in healthcare: Special reportBusiness intelligence in financial services: Special reportBusiness intelligence in retail: Special report
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