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:
- 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
- This is different from traditional data warehousing bc of the speed and flexibility required
- "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:
- Think long term by thinking short term (short wins and experimentation leading to longer term progress)
- See through the false choice
- Bring big data down to eye level ("as time goes on, your needs will change")
- Empower users to get bigger insights
- Make better data out of small data
- Ensure that big data stays out of [big] trouble
- Start the ball rolling
