Want to know what Forrester's lead data analysts are thinking about BI and the data domain?

Boris Evelson

By Boris Evelson

What is BI? There are two prevailing definitions out there – broad and narrow. The broad definition (using our own) is that BI is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insight and decision-making. But if we stick to this definition then shouldn’t we include data integration, data quality, master data management, data warehousing and portals in BI? I know lots of folks would disagree and fit these into data management or information management segments, but not BI.

Then, the narrow definition is used when referring to just the top layers of the BI architectural stack such as reporting, analytics and dashboards. But even there, as Jim Kobielus and I discovered as we were preparing to launch our BI TechRadar 2010 research, we could count over 20 (!) product categories such as Advanced Analytics, Analytical Performance Management, Scorecards, BI appliances and BI SaaS, BI specific DBMS, BI Workspaces, Dashboards, Geospatial analytics, Low Latency BI, Metadata Generated BI Apps, Non modeled exploration and In-memory analytics, OLAP, Open Source BI and SaaS BI, Packaged BI Apps, Process / Content Analytics, Production reports and ad-hoc query builders, Search UI for BI, Social Network / Media Analytics, Text analytics, Web Analytics.

 

To make matters worse, some folks out there are now trying to clearly separate BI and analytics, by trying to push a “core, traditional BI is commoditized, analytics is where differentiation is today” message. Hmmm, I thought I was building analytical apps using OLAP starting back in the early 80’s.

 

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Application Assessments -- How Do You Decide What Matters?

Phil Murphy

So you need to formulate an application modernization decision -- what to do with a given application -- how do you begin that decision making process? In the past, modernization decisions were often simply declared -- "We are moving to this technology" -- for a number of reasons, such as, it:

  • Keeps us current on technology.
  • Provides a more acceptable user-interface or integration capability.
  • Increases our exposure to access by external customers.
  • Increases the volume of business transaction we can process.
  • Trades custom/bespoke applications for standardized application packages such as ERP, payroll, human resources, etc.

Fast-forward to today -- you could simply go with your gut -- declare a solution based on what you currently know (or think you know) about the application in question. But it's a new day baby -- a proposal like that, without proper justification, is likely to be met with one of two responses from management:

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Not all BI self service capabilities are created equal

Boris Evelson

By Boris Evelson

There’s a lot of hype out there by many vendors who claim that they have tools and technologies to enable BI end user self service. Do they? When you analyze whether your BI vendor can support end user self service, consider the following types of “self service” and related BI tool requirements:

#1. Self service for average, casual users.

  • What do these users need to do?
    • Run and lightly customize canned reports and dashboards
    • Run ad hoc queries
    • Add calculated measures
    • Collaborate
    • Fulfill their BI requirements with little or no training (typically one needs search-like, not point-and-click UI for this)
  • What capabilities do they need for this?
    • Report and dashboard templates
    • Customizable prompts, sorts, filters, and ranks
    • Report, query, dashboard building wizards
    • Portal
    • Semantic layer (not all BI vendor have a rich semantic layer)
    • Prompting for columns (not all BI vendors let you do that)
    • Drill anywhere  (only BI vendors with ROLAP and multisourcing / data federation provide this capability)

#2. Self service for advanced, power users

  • What do these users need to do?
    • Perform what-if scenarios (this often requires write back, which very few BI vendors allow)
    • Add metrics, measures, and hierarchies not supported by the underlying data model (typically one needs some kind of in-memory analytics capability for this)
    • Explore based on new (not previously defined) entity relationships (typically one needs some kind of in-memory analytics capability for this)
    • Not knowing exactly what one is looking for (typically one needs search-like UI for this)
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Top Evaluation Criteria For Reducing CRM Vendor Selection Risk

William Band

Every year, I take 250 to 300 calls from Forrester clients. The vast majority of these calls are from executives embroiled in the process of trying to select the right CRM technology solution to support their business strategy.  From these conversations, I have distilled a set of decision criteria to help you quickly cut through the CRM tech vendor underbrush.

  • Ability to meet your specific business requirements. You have to know what business outcomes you are trying to achieve, and define the business capabilities that you need to support, before you seriously consider investing in a CRM software solution. Although the core capabilities of leading CRM software vendors are quite similar, the companies I hear from still place a very high importance on the solution meeting the functional and technology criteria that are specific to their needs. Can the vendor meet your use-case requirements?
  • Ease of use for front-line workers.  My clients expect CRM software to demonstrate the capability to make people more fruitful in their work, and this is predicated on how easy the solution is to use. Good usability encourages user adoption. Is the solution UI modern and adaptable to diverse role-based requirements?
  • Capability to provide advanced analytic abilities. My clients place a high value on CRM vendors' ability to provide analytic tools to better understand customer behavior and make insightful customer-facing decisions using the myriad customer data collected. Analytics are the key to unlocking the value in CRM applications. Does the vendor have powerful and easy-to-use business intelligence capabilities?
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Your Roadmap To Forrester CRM Methodologies, Data, And Tools For Driving Top-Line Growth

William Band

For many of my clients, 2009 was a difficult year as they struggled in response to the sudden and dramatic downturn in the economy. Although many CRM technology projects were deferred or cancelled last year, I see this trend being strongly reversed in 2010. Every day I get calls from companies large small who tell me that they now releasing funds to invest in improving their customer-facing business processes neglected during the past 18 months. 

The underlying trends driving the need for effective and efficient customer management processes have not disappeared. In fact, the need for companies to effectively engage with their customers has never been more important. Locking in customer loyalty through deeper engagement and differentiated experiences will continue as critical priorities, but navigating the complex CRM solution vendor landscape and organizing projects for success will continue to be challenging. In 2010, you must focus on choosing the best opportunities for quick wins carefully, spend wisely on the right CRM solutions, and manage project risk. Take advantage of Forrester data, methods, and tools to capitalize on the improving economic climate to drive top-line growth.

I have designed this webinar offer you a roadmap to the specific Forrester data, techniques, and tools that you can immediately put to use to implement our six-step methodology for CRM success.

1. Understand the customer of the future

2. Define the right CRM strategy and priorities

3. Build a rock-solid business case

4. Risk-proof your project

5. Resolve customer data management dilemmas

6. Negotiate the right software pricing and licensing agreements

Here is the link to the registration page. You do not have to be a Forrester client to join in.

registration link

The Definition of Complexity Is A Complex Matter

Jost Hoppermann

Recently, I discussed complexity with a banker working on measuring and managing complexity in a North American bank. His approach is very interesting: He found a way to operationalize complexity measurement and thus to provide concrete data to manage it. While I’m not in a position to disclose any more details, we also talked about the nature of complexity. In absence of any other definition of complexity, I offered a draft definition which I have assembled over time based on a number of “official” definitions. Complexity is the condition of:

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Is Risk Based Testing Part of Your Test Planning?

Margo Visitacion

Recently, I’ve been getting more inquiries around risk based testing.   In addition to agile test methods and test estimation, test teams turning their eyes to risk based testing is just another positive step in integrating quality through out the SDLC.  Yes, I still see QA engineers as having to put their evangelist hats on to educate their developer brothers and sisters that quality is more than just testing (don’t get me wrong, consistent unit and integration testing is a beautiful thing), however, any time that business and technology partners can think about impact and dependencies in their approach to a solid, workable application elevates quality to the next level. 

Keep asking those questions about risk based testing – and make sure that you’re covering all of the angles.  Make sure that you’re covering:

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BI on BI

Boris Evelson

By Boris Evelson

How do you know if your BI application has high, low or no ROI? How do you know that what the business users requested last month and you spent countless of hours and sleepless nights working on is actually being used? How do you know if your BI applications are efficient and effective? I don't have all the answers, but here's what I recommend.

Start with collecting basic data about your BI environment. The data model (hint, it's a classical multidimensional model exercise) should have the following components:

  •  Requests (these should be available from your help desk and project/portfolio management applications), such as
    • User provisioning
    • New applications
    • New data sources
    • Data model changes
    • New/changed metrics
    • New/changed reports
    • New report delivery options
  • Usage (these should be available from your DBMS and BI apps log files or from www.appfluent.com or www.teleran.com) by
    • Person
    • Time of day
    • Database
    • BI application
    • Report
    • Index
    • Aggregate
    • KMI/KPM
  • Track additional events like
    • Application usage vs. using application/report just to download or export data
    • Incomplete/cancelled queries
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2008 Wasn’t Great, 2009 Was Worse: Global Banking Platform Deals 2009

Jost Hoppermann

Next week, I will present first results of Forrester’s 2009 global banking platform deals survey. A total of 17 banking platform vendors submitted their 2009 deals for evaluation. One year ago, the same set of deals would have represented at least 19 vendors: In the 2009 survey, FIS’s deals include those of acquired US-based Metavante, and Temenos’ deals include those of acquired French Viveo. These theoretically 19 participating vendors submitted a total of 1,068 banking platform deals to evaluate, a steep increase compared with the about 870 submitted deals for 2008.

We had to classify a large share of these 1,068 banking platform deals as extended business or even as a simple renewed license — if the vendors did not already submitted them with the according tag. Forrester’s “rules of the game” did not allow us to recognize further deals, for example, because a non-financial-services firm signed a deal. Overall, Forrester counted 269 of the submitted deals as 2009 new named customers, compared with 290 for 2008. In the past, Forrester sorted the vendors into four buckets: Global Power Sellers, Global Challengers, Pursuers, and Base Players. The Pursuers and in particular the Global Challengers saw only minor changes in the previous years. 2009 has shaken this stable structure, and we will see many vendors in groups they haven’t been in before.

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Third-party Database Tools Still Matter

Noel Yuhanna

Over the past year, I have received numerous inquiries asking me whether third-party database tools that focus on performance and tuning, backup recovery, replication, upgrade, troubleshooting, and migration capabilities matter anymore now that leading DBMS providers such as Oracle, IBM, and Microsoft are offering improved automation and broader coverage. 

I find that third-party tools complement well with native database tools in assisting DBAs, developers and operational staff in their day-to-day activities. Last year, I had the opportunity to speak to dozens of enterprises that support hundreds and thousands of databases across various DBMSes. Most enterprises reported they saw at least a 20 percent IT staff productivity when using a third-party database tool.

Third-party vendor tools remain equally important because they support:

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