Use A Four-Step Approach To Select The Right BI Services Provider

Boris Evelson

BI projects are never short, and, alas, many of them don't end since a fast-paced business environment often introduces new requirements, enhancements, and updates before you're even done with your first implementation. Therefore, we typically recommend doing sufficient due diligence upfront when selecting a BI services provider — as you may be stuck with them for a long time. We recommend the following key steps in your selection process:

  1. Map BI project requirements to potential providers. Firms should use Forrester's "BI Services Provider Short-Listing Tool" to create a shortlist of potential providers. With the tool you can input details about your geographic scope, technology needs, and the type of third-party support you need (i.e., consulting versus implementation versus hosting/outsourcing).  The tool then outputs a list of potential providers that meet the criteria. For each potential fit, the tool also generates a provider profile summary that offers key details around practice size, characteristics, and areas of expertise.
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Join Me For A BI Strategy Workshop In Cambridge, Mass., On October 19, 2010

Boris Evelson

Business intelligence (BI) continues to be front and center on the agendas of businesses of all sizes and in all industries and geographies. Ever-increasing data volumes, complexity of global operations, and demanding regulatory reporting requirements are just some of the reasons. But also, more and more businesses realize that BI is not just a tool but rather a key corporate asset that they can use to survive, compete, and succeed in an otherwise increasingly commoditized global economy.

However, we consistently find that many BI initiatives fail and even more are less than successful. Well, maybe we can help. Even if just a little bit. Come to our interactive one-day BI Strategy Workshop to learn the fundamentals and best practices for building effective and efficient BI platforms and applications. The Workshop will also include hands-on exercises with tangible deliverables that you can take back to your teams to help you jump-start or adjust the course of your BI initiatives.

Why attend? Because hundreds of organizations have already benefited from reading Forrester research and working with Forrester analysts on the topics covered in this Workshop. I plan to present Forrester’s most recent research on:

  • Why are BI initiatives at the top of everyone's agenda, while many of them still fail?
  • What are some of the best practices necessary to achieve successful BI implementations?
  • What are some of the next-generation BI technologies and trends that you can't overlook, such as Agile BI and self-service BI?
  • How do you assess your BI maturity so that you can get a solid starting point on the way to your BI vision and target BI state?
  • How do you assess whether your organization has a solid BI strategy?
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What Do Business Strategy And Formula One Racing Have In Common?

Nigel Fenwick

Many companies are at the height of the IT strategic-planning season. For some, this is an annual ritual tied to the budgeting process. For others, this is part of a long-range planning process, with an annual review to check on progress. Still other CIOs are approaching the development of an IT strategy as an integral part of an ever-evolving business strategy, with regular adjustments as the business units flex and respond to market changes. Whatever your perspective, it’s apparent that in the past executives outside of IT have given scant attention to the machinations of the IT strategy — but this is surely changing.

The operational performance of any business unit is now so heavily dependent upon the effective and efficient deployment of appropriate technology that planning a business strategy without also planning technology strategy is like planning to win Formula One without any telemetry. You can’t even get to the starting grid.

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Amazon Makes It Clear It Will Survive iPadmania

James McQuivey

This is a phenomenal week to be covering the publishing industry. Tuesday, Apple released its quarterly earnings. Big surprise, another record-breaking quarter for the folks in Cupertino. A few billion here, a few billion there, blah, blah. How amazing is it that we're not really surprised by such overperformance in an otherwise still-troubling economic environment? Of great interest to me, the eReader guy, was the final iPad tally for the quarter ending June 26th: 3.27 million units worldwide. Still no good guidance on what the US split is, but no matter how you slice it, iPads are hot. (And, no, I still have not bought one, still holding out for iPad 2.0).

And if you follow the implications of that success, as many in the media have, Amazon should just concede the eReader business, pack up its cream-colored Kindle and go home, right? 

Wrong. And to prove it, Amazon made a point of announcing some news of its own, the day before Apple's results were public. Amazon flaunted its own success in selling both Kindle devices and eBooks. That's right, despite that iPad upstart, the Kindle is still flying off the shelves, selling more units each month than the month before it all through Q2, when the iPad challenger was supposedly pummeling it. And it's dominating the eBook business as well, selling as much as eight in ten of the eBooks of major bestsellers, seeing its eBook sales rate triple over last year. Oh, and Amazon indicated it sells 1.8 eBooks for every hardback book it sells. That's right, even though it discounts hardbacks to paperback prices for many bestsellers.

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Despite Fears About Economies In Europe And US, Forrester Still Forecasts A Strong 2010 IT Market, With 7.8% Growth Globally

Andrew Bartels

Expectations about economic growth prospects and the resulting implications for tech markets have been gyrating wildly in 2010. First, there were fears that the Greek debt crisis would spread to Portugal, Spain, Italy, maybe even the UK, leading to a breakup of the euro zone and a renewed recession in Europe. Then, as worries about Europe started to ebb after Greece and other countries successfully held debt tenders, the slow pace of job growth and weak retail sales in the US sparked concerns that the US was facing a double-dip recession.

What should a tech market watcher make of this uncertainty? As I read the economic and tech market indicators, I see more news that is in line with our expectations than not; where there have been surprises, they have been more often positive than negative. Economic recoveries seldom move in a straight line, so I did not expect to see an unbroken string of good news. Moreover, because of the imbalances that caused this downturn (too much consumer spending in the US, housing bubbles in the US and several other countries, too much debt), I expected the US economic recovery in particular to be relatively weak, with real growth rates of 2% to 3%. True, European economic growth — in large part due to the effects of the Greek debt crisis — has been weaker than expected, and the euro dropped much more against the US dollar then I had assumed. On the other hand, economic growth in Asia Pacific and Latin America has been stronger than I expected, and many of the currencies in these regions have risen in value against the dollar. Lastly, the indicators of the tech market itself — both US and other government data on business investment in technology (where available), as well as the vendor data from earnings releases for calendar Q1 2010 — has generally been stronger than our forecasts.

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Life Post-Meltdown: Insurance eBiz Pros Are Evolving Their Strategies (And They’re Asking Questions Of Forrester)

Ellen Carney

I recently sorted through just shy of 2,000 inquiries that Forrester analysts completed from insurance industry clients, from a grim Q1 2009 through the cautious optimism at the end of Q1 2010. Along with the insurance inquiries, I also looked at what was on the minds of bankers and the Global 500 segment during the same period. 

What jumped out was how different the character of questions from insurers was from the other two segments and how differently each segment (and role!) of the financial services market navigated the economy over these five quarters. So what’s the Reader’s Digest version? 

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Join Our Data Management Tweet Jam On MDM’s Next Evolution: Tuesday, July 20, 3-4 PM ET

Noel Yuhanna

Many large organizations have finally “seen the light” and are trying to figure out the best way to treat their critical data as the trusted asset it should be. As a result, master data management (MDM) strategies and the enabling architectures, organizational and governance models, methodologies, and technologies that support the delivery of MDM capabilities are…in a word…HOT! But the concept of MDM -- and the homegrown or vendor-enabled technologies that attempt to deliver that elusive “single version of truth,” “golden record,” or “360-degree view” -- has been around for decades in one form or another (e.g., data warehousing, BI, data quality, EII, CRM, ERP, etc. have all at one time or another promised to deliver that single version of truth in one form or another).

The current market view of MDM has matured significantly over the past 5 years, and today many organizations are on their way to successfully delivering multi-domain/multi-form master data solutions across various physical and federated architectural approaches. But the long-term evolution of the MDM concept is far from over. There remains a tremendous gap in what limited business value most MDM efforts deliver today compared to what all MDM and data management evangelists feel MDM is capable of delivering in terms of business optimization, risk mitigation, and competitive differentiation.

What will the next evolution of the MDM concept look like in the next 3, 5, and 10 years? Will the next breakthrough be one that’s focused on technology enablement? How about information architecture? Data governance and stewardship? Alignment with other enterprise IT and business strategies?  

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The State Of Mobile Commerce In Europe

Thomas Husson

I booked my first hotel night via a mobile device a year ago.

I didn’t even think about the fact that it would be considered an “mCommerce” transaction, as I simply booked it directly on the hotel group’s Web site via the browser of my mobile phone. The site wasn’t actually optimized for mobile devices, but it was possible to enter my credit card details via a secure Web transaction. That’s not ideal, so I wonder how many mobile transactions that firm has missed simply because it doesn’t provide a compelling user experience.

 European mobile commerce is still at an early stage. Digital content is still the primary product purchased via mobile devices, but European consumers show growing interest in using their mobile phones for all sorts of shopping activities. I have recently contributed to a new report on the state of mobile commerce in Europe, written by my colleagues serving eBusiness Channel and Strategy Professionals. The report reveals that:

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Software Quality Is More Than Just Lack Of Defects

Mike Gualtieri

My colleague Margo Visitacion and I are finishing up a new report, Seven Pragmatic Practices To Improve Software Quality, that will publish in a few weeks. We realized that not everyone has the same definition of quality. More often than not application development professionals define software quality as just meaning fewer bugs. But software quality means a whole lot more than just fewer bugs.

Forrester defines software quality as:

Software that meets business requirements, provides a satisfying user experience, and has fewer defects.

 

What It Means: Quality Is A Team Sport

Quality must move beyond the purview of just QA professionals and must become an integrated part of the entire software development life cycle (SDLC) to reduce schedule-killing rework when business requirements are misunderstood, improve user satisfaction, and reduce the risks of untested nonfunctional requirements such as security and performance.

Where Do You Draw The Lines Between Business And IT Ownership Of Data And Information?

Boris Evelson

I get many questions on this subject and it often turns into almost a religious debate. Let's throw some structure into it. Here's a decision-to-raw-data stack.

  1. Decisions
  2. Strategy
  3. Policies
  4. Objectives (e.g., clear understanding of what is driving revenue performance)
  5. Goals (e.g., achieve x% income growth)
  6. Calculated metrics (any combination, variation of the standard metrics or KPIs)
  7. KPIs (e.g., profitability, liquidity, shareholders value)
  8. KPMs (e.g., enterprise value, trailing/forward price/earnings)
  9. Metrics (e.g., fee income growth %, non-fee income growth %)
  10. Dimensions (part of MDM, e.g., customers, customer segments, products, time, region)
  11. Pre-calculated attributes (standard, cross-enterprise metrics, KPIs, and KPMs)
  12. Pre-built aggregates (used to speed up reports and queries)
  13. Analytical data (DW, DM)
  14. Operational data (ERP, CRM, financials, HR)

Obviously, it's never a clear-cut, binary decision, but in my humble opinion:

  • 1-6 should emphasize business ownership
  • 10-14 should emphasize IT ownership
  • 7-9 is where it gets murky, and ownership depends on whether metric/KPI/KPM is: 1) standard and fixed, 2) fluid and changes frequently, 3) different by product, line of business, or region.

What did I miss? Thoughts?