Big Data and the BI Consumer #BISUM
- Big Data and the BI Consumer #BISUM: http://goo.gl/2XDz4V
- Turning Information into a Strategic Asset #BISUM: http://goo.gl/NTgC6t
- Return on Investment: Making Our Projects Make Sense #BISUM: http://goo.gl/LHWIjx
- Does the Data Scientist Have Mojo? #BISUM: http://goo.gl/2gOkHP
- The Business and Technology Benefits of In-Memory Computing #BISUM: http://goo.gl/bvbmvQ
Our first semi-formal session at #BISUM is “Big Data and the BI Consumer” led by Claudia Imhoff of Intelligent Solutions and Glen Rabie of Yellowfin.
There is lots of chatter, lots of hype and lots of new technologies. Is BI getting too complex to design, implement and use? Perhaps it is time for simplification.
Companies are trying to move towards more proactive and away from reactive. Here is a quadrant we discussed:
Big data has given us a complex world. When? How? Replace data warehouse? In addition? It’s disruptive to traditional architectures, even in midsize organiztaions.
Claudia recommended looking at Andrew Stein’s work.
Data scientists should not be ivory tower techno-babble. There are different way of looking at BI/analytics.
Big data has resurrected the discussion of technology and away from business needs.
The CIF (Corporate Information Factory) is no longer the end-all of architecture. How to create an architecture that makes sense in today’s world? It now occupies a part of the EDW architecture. It’s fundamental, but we also need an operational real-time environment and an investigative computing environment.
Glen thinks big data is fundamentally a marketing play. Vendors are looking to define the space. The negative of that is there’s a lot of complexity in the market and customers don’t know where to go.
IT enjoys the complexity and that control is moving “back in their hands.
The focus should not only be on the high-end information consumer.
Not seeing organizations massively transformed by big data.
Vendors need to say clearly what they do well and what they don’t do well because no product can do it all anymore.
We talked about the evolution of BI and analytics and how companies must move beyond simple reporting and analysis, the skill gap in today’s information workers and what we can do to close it, and how to make advanced analytics more consumable without creating chaos.
First time it seems the use of the technology is ahead of the technology – in some cases.
Big data is maturing faster than most technologies.
Though multi-petabyte examples are in the news, the sweet spot for big data is under 50 terabytes.
Thanks to big data, information management is finally in the news.
Big data people don’t commiserate with the reporting problems elsewhere in the company. They view their role as different.
Companies successful with decision science (American Airlines was mentioned) created the automated decision tools and know it’s about business application.
CIOs want to add value to the business and they sound more and more like marketers today.
The consensus seemed to be that big data was being bought for all the right reasons, as opposed to the initial BI model of “build it and they will come”. I think it’s going that way now, but do not agree that the majority of big data to-date is for all the right reasons.
The new breed of analyst needs to know something about the data, unlike the business analyst (broken out from the data analyst) of the past. There was no consensus whether this was the ‘data scientist’ or not.
This post was written as part of the IBM for Midsize Business program, which provides midsize businesses with the tools, expertise and solutions they need to become engines of a smarter planet. I’ve been compensated to contribute to this program, but the opinions expressed in this post are my own and don’t necessarily represent IBM’s positions, strategies or opinions.