Big Data and Enterprise Search: The Caution Lights Are Flashing

December 15, 2015

I read “How You Should Explain Big Data to Your CEO.” The write up included a link which triggered thoughts of how enterprise search dug itself a hole and climbed. Unable to extricate itself from a problem enterprise search vendors created, the entire sector has been marginalized. In some circles, enterprise search is essentially a joke. “Did you hear about the three enterprise search vendors who walked into a bar?” The bartender says, “What is this? Some kind of joke?”

The link pointed me to a Slideshare (owned by the email and job hunting champion LinkedIn). That presentation, “5 Signs Your Big Data Project is Doomed to Fail,” could have been borrowed from one of my talks about enterprise search in 2001. It was not, but the basic message was identical: Big Data has created a situation in which there are some challenges here and now.

The presentation was prepared by Qubole (maybe pronounced cue ball?). Qubole is a click to query outfit. This means that reports from Big Data are easy to generate.

Here are the problems Big Data faces:

  • Failed implementations. Qubole asserts that 87 percent of the Big Data implementations are flops
  • 73 percent of executive describe the Big Data project as flop
  • 45 percent of Big Data projects are completed

These data are similar to the results of “satisfaction” with enterprise search solutions.

Why? Qubole asserts:

  • Inaccurate project scope
  • Inadequate management support
  • No business case
  • Lack of talent (in search the talent may be present but overestimates its ability to deal with enterprise search technologies and processes)
  • “Challenging tools.” I think this means that in the Big Data world there are lots of complexities.

What can one charged with either search or Big Data tasks do with this information?

My view is, “Ignore it.”

The “can do” spirit carries professionals forward. Hiring a consultant provides some job protection but does little to reverse the failure and disappointment rate.

My view is that the willingness of executives to grab at a magic solution presented by a showman marketer overrides failure date. The arrogance of those involved create a “that won’t happen to us” belief.

Who is to blame? The company for believing in baloney? The marketer for painting a picture and showing a Hollywood style demo? The developers who created the Big Data solution, knowing that chunks were not complete or just did not work before the ship date? The in house engineers who lacked self knowledge to understand their own limitations?

Everyone is in the hole with the enterprise software vendors. The hole is deep. Magic solutions are difficult to pin down. The future of Big Data is likely to parallel to some degree the dismal track record of enterprise search. Fascinating. I can hear the mid tier consultants and the handful of remaining enterprise search vendors asserting that Qubole’s points are not applicable to their specific situation.

Yep, and I believe in the tooth fairy and Santa.

Stephen E Arnold, December 15, 2015

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