Archive for the ‘Business Intelligence’ Category

Ready for Web 3.0?

June 15, 2010

Over at FastCompany is a good read on what Amazon’s Chief Scientist, Andreas Weigend, sees on how customers engage with organizations online.  We have moved past Web 2.0 and are now in Web 3.0 land.  According to Andreas:

  • Web 1.0 – eBusiness – Getting businesses online
  • Web 2.0 - MeBusiness – Focusing on the consumer
  • Web 3.0 – WeBusiness – Moving business to a community focus

His point is that your customers are already entering in mounds of data that’s more valuable than any survey.  Companies need to be able to start taking advantage of that now.

However, I’m not sure if companies are able to be proactive because there isn’t a whole lot going on in semantic analytics or social media business intelligence.  These systems need built, people need trained and leaders need to see the value and have a vision for it.  That’s going to take some time.

Flipping over to Google for a few seconds after that FastCompany article brought up this nice prediction on the Web-Point-Ohs trajectory.  Nice visualization.

Where the Web-Point-Ohs are taking us - Information and Social Connectivity Online (Source: Radar Networks)

The question is how quickly can companies react to start taking advantage of this river of untapped information?  Or will business intelligence tools, solutions and adoption be a lagging indicator on the trend line?

Why Is It So Hard To Measure ROI?

June 8, 2010

When asking questions about what the Return on Investment (ROI) is for a project, regardless of whether it’s software development or data warehousing/business intelligence, people start to fidget.  The same folks who are passionate about the initiative, spent weeks on the requirements and are willing to fight a cage match to get their project to the top of the priority queue are suddenly at a loss for words when asked what the return is to the organization if this work gets done.

Some of the quotes I’ve heard to the question “What’s the ROI on this project/initiative once the solution is rolled out?”:

“There is no ROI”

“…and even if people can do their jobs faster we’re still paying them so it’s not like we’re saving the company money.”

“I don’t think we can put a dollar figure on it.  We just need to do it.”

“What do you mean?”

“Unless it’s something you can sell, it’s too hard to measure ROI on technology projects.”

Quite frankly, it is rare to find a technology project that has the ROI clearly stated that is measurable, believable and agreed upon.

However, there is no hesitation at marshaling a small army of very expensive resources, along with the infrastructure to support the effort, and lock them away on a project for three months or six months or longer.  Total costs for an initiative go well beyond a project time line, and it isn’t hard to crest the $1M mark in Total Cost of Ownership within a year or two even on seemingly small projects.  That’s one heck of an opportunity cost.

I am a firm believer that anything worth doing is worth measuring, but often it’s not.  What’s worse is that the success of most projects is measured as the combination of three things:

  1. Was it completed?
  2. Was it on time?
  3. Was it within budget.

While those are important measures, they really don’t matter if the organization sees no value from the investment.

I’m not sure if there’s just one major hurdle that everyone has problems clearing when it comes to ROI or if it’s different for everyone.  These are some of the mental barriers I’ve seen in people :

  • Some have a hard time with dollars and cents- they just don’t think that way.
  • Math scares them and all they can think about is how much they hated figuring out the Internal Rate of Return (IRR) and Net Present Value (NPV) problems for their Finance course in college
  • People are overly cautious and don’t want to over promise
  • The value that their department, or functional area, provides to the company is not very clear
  • They assume it’s the cost of doing business so no ROI needs to be computed
  • No revenue will be generated from the work and that’s all they think ROI is
  • There was never a need to define and argue initiative ROI so they really don’t know how

What I always find fascinating is that, even though ROI is rarely given and most people claim it’s too hard (if not impossible), everyone knows what the ROI is for a project.   They just don’t know they know.  All you need to do is help them uncover it.

“I saw the angel in the marble and carved until I set him free.”  – Michelangelo

In subsequent posts I’ll share with you the chisels that I use.

Gartner’s Business Intelligence Outlook for 2010

May 28, 2010

Some of the big takeaways from GeoJan’s highlights of the Gartner’s predictions for BI in 2010:

  • Compound growth rate for BI platforms through 2013 will be 6.3%.
  • Momentum grows in the shift from a central core of report authors to empowering users to analyze the data themselves to get the answers they really need.
  • SAP and IBM (Cognos) customers are loosing patience. Attributed to these companies still being in the midst of the transition pains that come from acquisition.
  • All those Challengers in the BI space were Visionaries the year before and that’s good.  Their innovation is driving better product development choices from the Leaders of the quadrant.
  • The goal to consolidate to one enterprise BI platform is still a talking point at a lot of organizations.  The difficult economy and the need for better, faster competitive intelligence open the doors for the pure-play vendors to slip into the same organizations where the megavendors have setup shop.
  • (Reading between the lines)  A growing challenge will be how to manage all the intelligence evolving on the network shares and desktops with the growth of these light-weight, pure-play BI tools.

Below is the Gartner Magic Quadrant for Business Intelligence.  Are you seeing these trends taking shape where you are?

Source: GeoJan

The #1 Reason BI Isn’t Getting To That Next Level

May 21, 2010

The quality is bad.

Interesting quote by John Thompson of Kognito:

‘[Executives] are saying, “Are you certain that syndicated sales data and marketing data from last year is high quality data I can use to make decisions?” They’re still asking about that.’

When talking about the quality of any system there’s two parts to it:  real quality and perceived quality.   The prior are things you can eyeball, create QA/QC test plans around, foot to baselines, regression test and hand off to your development team to fix.  This type of quality is what most technology teams focus on.

Perception, however, is more powerful, influential and much-much-less scientific.   If someone doesn’t believe in the quality of your data, or your team, then it really doesn’t matter if the data is correct or not.  Often the perception is well warranted at some point.  However, once the real quality is corrected, that perception lingers.  What needs rebuilt at this point is your reputation and that doesn’t happen in a day.

You need to work harder at changing your image, and it needs to be at the top of the list.  If people don’t have faith in the quality of what you and your team do then you’re not going to be able to move forward with the things you really want to do and the business really needs.

Quality is job #1.  Nail that before moving onto the more innovative initiatives.  It’s your dial tone.

How To Be An Expert In One Easy Step

April 6, 2007

In the old days the title of this post would be RTFM.

The Help menu is there for a reason and Jeff Smith writes a great piece that explains everyone can be an “expert” if they just used the Help feature built into the applications, systems and tools they use.  The information is there and, with often very little effort, the information is easy to find.

These are my experiences on why people rather go to the “experts” rather than building their knowledge themselves.

  • Intimidated by technology
  • Don’t have time to learn something new
  • Don’t have the capacity to learn something new
  • Easier to ask someone else to figure it out
  • Faster to ask someone who already knows or who can find out quickly
  • Delegation
  • Generational differences
  • Personality types - some people rather deal with people than with computers 
  • Hierarchical in nature – not my job 
  • Laziness

Albert Einstein was quoted as saying “I never memorize anything I can look-up.”  The key is being able to find it when you need it so you can apply it when you need it.  It’s a critical skill for any career and even more so for those in technology.    It’s one of the top skills I look for when I’m interviewing.

Top 10 Trends in Data Management

April 4, 2007

Looking back on what were popular stories in 2006 over at SearchDataManagement.com is a good indication for we are heading.  These are their their top 10 standouts and trends:

10. Compliance attempts automation.Moving away from Excel in the organization.  It’s amazing how much critical corporate information is trapped in the XLS jungle.  This is a very good thing.

9. Open source business intelligence (BI) invites interest. Ends up being just as expensive, but it’s just a matter of time until open source BI becomes a solid player.

8. Customer data integration reiterates its role.CRM, BI, DW, ODS and MDM do not take the place of CDI.  How many acronyms can YOU pack in one sentence?  No wonder it’s tough getting budget dollars for all these project.

7. BI and corporate performance management (CPM) continue to converge.  BI won’t be used by the whole organization, but CPM will.

6. Enterprise search finds a foothold. Coined “biggle” for BI and Google.  Search technology is the ETL for text analytics and BI vendors are folding it into their products and lines.

5. Data governance is back (and bad) - Managing data is not an easy job and 90% of data governance projects will fail on their first attempt.  Reminds me of these lines from Ghostbusters:

Dr. Egon Spengler: There’s something very important I forgot to tell you.
Dr. Peter Venkman: What?
Dr. Egon Spengler: Don’t cross the streams.
Dr. Peter Venkman: Why?
Dr. Egon Spengler: It would be bad.
Dr. Peter Venkman: I’m fuzzy on the whole good/bad thing. What do you mean, “bad”?
Dr. Egon Spengler: Try to imagine all life as you know it stopping instantaneously and every molecule in your body exploding at the speed of light.
Dr Ray Stantz: Total protonic reversal.
Dr. Peter Venkman: Right. That’s bad. Okay. All right. Important safety tip. Thanks, Egon.

…OK, that might only be funny to me.

4. Data integration and ETL evolve. SOA is changing everything.

3. IBM, Microsoft make moves.  IBM gets FileNet and Microsoft is making waves with it’s upcoming PerformancePoint Server 2007 for the mid market.

2. Data quality vendors are assimilated.  It’s very good that data quality is becoming part of the machinery instead of an add-on.

1. MDM attracts ample attention. It’s got mine.


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