Decision Management, Possibly The Last Frontier In BI

Just read an excellent article on the subject by Tom Davenport. We at Forrester Research indeed see the same trend, where more advanced enterprises are starting to venture into combining reporting and analytics with decision management.  In my point of view, this breaks down into at least two categories:

  • Automated (machine) vs. non automated (human) decisions, and
  • Decisions that involve structured (rules and workflows) and unstructured (collaboration) processes
Read more

Why I Don't Want To Research BI Market Size

I know, I know, this is what analysts do. But I personally would never want to get involved in doing a BI market size – it’s open game for serious critique. Here are some of the reasons, but the main one is a good old “garbage in garbage out.” I am not aware of any BI market size study that took into account the following questions:

  • What portion of the DBMS market (DW, DBMS OLAP) do you attribute to BI?
  • What portion of the BPM market (BAM, process dashboards, etc.) do you attribute to BI?
  • What portion of the ERP market (with built-in BI apps, such as Lawson, Infor, etc.) do you attribute to BI?
  • What portion of the portal market (SharePoint is the best example) do you attribute to BI?
  • What portion of the search market (Endeca, Google Analytics, etc.) do you attribute to BI?
  • What is the market size of custom developed BI applications?
  • What is the market size of self built BI apps using Excel, Access, etc?
  • On the other side, what is the % of licenses sold that are shelfware and should not be counted?

Plus many more unknowns. But, if someone indeed did do such a rough estimate, my bet is that the actual BI market size is probably 3x to 4x larger than any current estimate.

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

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.
Read more

Join Me For A BI Strategy Workshop In Cambridge, Mass., On October 19, 2010

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?
Read more

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

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?

Best practices for using spreadsheets as BI tools

By Boris Evelson

We all know that the war of fighting the proliferation of spreadsheets (as BI or as any other applications) in enterprises has been fought and lost. Gone are the days when BI and performance management vendors web sites had “let us come in and help you get rid of your spreadsheets” message in big bold letters on front pages. In my personal experience – implementing hundreds of BI platforms and solutions – the more BI apps you deliver, the more spreadsheets you end up with. Rolling out a BI application often just means an easier way for someone to access and export data to a spreadsheet. Even though some of the in memory analytics tools are beginning to chip away at the main reasons why spreadsheets in BI are so ubiquitous  (self service BI with no modeling or analysis constraints, and little to no reliance on IT), the spreadsheets for BI are here to stay for a long, long, long time.

With that in mind, let me offer a few best practices for controlling and managing (not getting rid of !) spreadsheets as a BI tool:

  1. Create a spreadsheet governance policy. Make it flexible – if it’s not, people will fight it. Here are a few examples of such policies:
    • - Spreadsheets can be used for reporting and analysis that support processes that do not go beyond individuals or small work groups vs. cross functional, cross enterprise processes  
    • - Spreadsheets can be used for reporting and analysis that are not part of mission critical processes
Read more

Oracle OBIEE 11g Launch: "We are back!"

Whoever said BI market is commoditizing, consolidating and getting very mature? Nothing can be farther from the truth. On the buy side, Forrester still sees tons of less-than-successful BI environments, applications and implementations as demonstrated by Forrester's recent BI Maturity survey. On the vendor/sell side, Forrester also sees a flurry of activity from the startups, small vendors and large, leading BI vendors constantly leapfrogging each other with every major and minor release.

In terms of the amount of BI activity that Forrester sees from our clients (from inquiries, advisories and consulting) there’s no question that SAP BusinessObjects and IBM Cognos continue to dominate client interest. Over the past couple of years Microsoft has typically taken the third place, SAS  fourth place and Oracle the distant fifth. But ever since Siebel and Hyperion acquisitions, the landscape has been changing, and we now often see Oracle jumping into third place, sometimes leapfrogging even Microsoft in the levels of monthly interest from Forrester clients.

Read more