Social Media Will Play A Big Part In BI's Future

Noel Yuhanna

When preparing for our upcoming Forrester Data Management Tweet Jam (May 13th, 2-3pm ET) -“What BI is Not!”- we got together with a few of Forrester’s data management and BI analysts to discuss some of today’s key BI questions.

The question on the table was, “How will social media impact traditional BI?”

Here’s a snapshot of what we talked about:

Jim Kobielus: (Twitter: @jameskobielus)

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Social Media Will Play A Big Part In BI’s Future

Holger Kisker

When preparing for our upcoming Forrester Data Management Tweet Jam (May 13th, 2-3pm ET/8-9pm CET) -“What BI is Not!”- a few of Forrester’s data management and BI analysts got together to discuss some of today’s key BI questions.

One of the questions on the table was, “How will social media impact traditional BI?”

The snapshot below of what we talked about is posted on several of Forrester’s blog spaces. We’d love to hear your thoughts on this intriguing topic. Share them here, and, if you’d like to hear more about this and other important BI questions, join the discussion on Twitter this Thursday (May 13th, 2-3pm ET/8-9pm CET). We’ll be using the #dmjam hashtag.

Tweet you there!

Jim Kobielus: (Twitter: @jameskobielus)

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Platform-As-A-Service, Chapter 2

John R. Rymer

Platform-as-a-service -- application development platforms running in clouds -- are entering a new phase of evolution, and not a moment too soon. I've become interested in a new set of products I'm calling "adaptive PaaS" (for lack of a better term) that I think will make the benefits of cloud computing available to a lot more development shops. I'm doing a webinar on this topic May 20th with Appistry's Sam Charrington. I hope you can join the discussion.

As I described in my early reports on PaaS, these products include full development tooling, runtime services, and administration and management tools. While complete, most of these "full PaaS" products are best for new applications, and they incorporate much proprietary technology. Consequence: Many if not most clients are still saying "no" to PaaS for two reasons.

  1. Lock-in: PaaS products lock up your code in a single provider's environment.
  2. Poor fit: Too many PaaS products just aren't strong for core business applications, particularly for rehosting existing applications.

These limitations often prompt developers who want the flexibility of cloud computing to use IaaS platforms like Amazon EC2 instead of PaaS. With IaaS, developers can code in the language and frameworks they choose, reducing lock-in and ensuring a good platform-application fit. As a result, while we see both interest and adoption of software-as-a-service (full applications) and infrastructure-as-a-service (virtual servers, storage, and networks), PaaS is lagging in adoption.

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Transform Business Processes Through Business Analytics

Boris Evelson

co-authored by Clay Richardson, James Kobielus, Craig Le Clair

Boris, Clay, Jim, and Craig get together in this podcast to talk about their upcoming Forrester IT Forum presentation.

http://www.forrester.com/role_based/images/author/imported/forresterDotCom/Podcasts/BPA/Evelson_Kobielus_Richardson_Le%20Clair_Transform%20Business%20Processes%20Through%20Business%20Analytics_050510.mp3

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An Analyst's Day

Holger Kisker

5:30am, the family sleeps and it’s time to prepare – today is Analyst Day in Frankfurt. I’m on the road 2h45min before the event starts (1h20min should be sufficient) but sometimes the traffic is terrible. Last week I missed a flight because the highway was completely closed after an accident and I had to give up after 3h driving for nothing. When the concern of missing an appointment slowly turns into certainty, these are the moments that cost me some of my (remaining) hair.

(Of course) I arrive much too early, but other analysts are already there (probably they don’t sleep at all). Plenty of time to look through my presentation again for some final adjustments and for some small talk with customers that arrived early.

1min before the kick-off, I make the last slide changes and load it to the presentation laptop. Another analyst colleague goes first. I have seen some of the slides a hundred times and look around at the faces of the attendees. For most, it’s the first time they see e.g. our market sizing and forecasting data, and they make hectic notes into their notebooks. They don’t know yet that we will distribute all slides after the event. I’m getting a bit nervous, but I’m used to it. When I'm not nervous any more before a presentation, it’ll get boring for me and the audience, and I should probably do something else.

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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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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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