Wednesday, June 4, 2014

TDWI NYC Panel Discussion re: Self Service BI / Data Discovery

Now live at today's TDWI NYC event is a panel discussion on Self-Service Business Intelligence featuring four speakers.  I will live blog key insights in this post, via text and embedded tweets.

Tasso Argyros Founder & Co-President. Teradata Aster:
 Rado Kotorov, PhD Chief Innovation Officer, Information Builders:

 Patrick May Director of Technology, GigaSpaces:
  1. Self-service data discovery and BI requires the consolidation of multiple "Analytic Models" (as well as many associated data models, platforms, standards, and technologies).  This adds complexity needs to be managed
  2. This is different from traditional data warehousing bc of the speed and flexibility required
  3. "The 360 degree view of the customer is still mythical, but you don't need to get 100% there to benefit from a more complete view"
 Michael Kravec Leader, Enterprise Consulting, Tableau:
  1. Think long term by thinking short term (short wins and experimentation leading to longer term progress)
  2. See through the false choice
  3. Bring big data down to eye level ("as time goes on, your needs will change")
  4. Empower users to get bigger insights 
  5. Make better data out of small data
  6. Ensure that big data stays out of [big] trouble
  7. Start the ball rolling