The past 12 months had us move Analytics as a Service (A3S) to new maturity levels. For the very first time we have a single point interface for all of our A3S services: the DataHub. I recently presented an overview and demo to a group of industry analysts and the feedback has been overwhelmingly positive.

The combination of Social, private Cloud, Analytics as a Service based on an Open Source built (joomla + kunena) social portal is turning into a killer application for the global enterprise. Never before have we seen agile and community, BI and Analytics brought together through a fully social experience, that allows users, analysts, scientists, executives, PMs - pretty much anybody in the organization to follow each other, link up, like, create groups, publish Analytics and discover new data, new analytics, new insights on the fly.

Search and metad-data are great, as long as you know what to look for. In todays world of BigData this is becoming increasingly complex,

It has been a while since I actively blogged on this personal site of ours. It has been a busy couple of years and our teams have pushed the boundaries of pretty much any technology out there that deals with Data and Analytics.

Some 4-5 years ago we started an internal project and based on Ray Kurzweil's - The SIngularity is Near - we dubbed it Singularity.

We are only weeks away from launching V3 of our Singularity platform and its nothing short of amazing. We set out to scale big, economical, make complex easy, do the impossible in the hands of all our analysts, without special training or knowledge of complex programming languages. Putting hundreds of trillions of behavioral patterns to use, structuring complex data just enough to make it simple to use, yet keep loosely structured patterns they way they are, storing unstructured data as is and project logic and structure at runtime.

Today I ran across some discussion about Agile Development in Data Warehousing, and note that we talk about this in the context of the DW development, but not in relation to the Business. I believe there is a need to discriminate some of these processes quite differently. Most simply put - One is applying Agile to DW development; the other is applying Agile to Business Analysis.

Core DW foundations involve modeling root components of business data needs and implementing a data model which allows for flexibility to answer questions of the data - a concept I call "Designing for the Unknown". The more renormalization and change from the source system, typically the more transformation logic and less flexibility, and ergo higher cost and less organizational agility.

Effective Agile development of the DW infrastructure itself involves delineating the methodologies which can be used for what types of development functions. For example, creating a core or "root key" entity in the data model

Analytics as a Service

What Do you think about Agile Analytics? Every heard about it? Well, here are a couple thoughts from the guys who deal with it on a daily basis.  

Analytics as a Service 

Looking forward to seeing your comments on this