Everyone knows this analogy:
With “big data” situations in business intelligence and data warehousing (BI/DW) environments, finding the needles becomes a much more impressive issue:
“Find needles AND the like pieces of hay and how do they relate to each other in the stack”
This comes evolution of predictive analytics and the quest not just for the goal or object (ie valuable customer, influencer, churn prospect), but also for the behavioral events that lead up to those goals or objects.
Impact of Social Media
With the growth of the ability to capture the event data associated with behavior based data sources of telecom call data and social media interaction (ie twitter, facebook, etc); “big data” BI/DW environments are not going away. They are going to expand and BI/DW professionals are going to need to find a way to perform analytics on these data sets in an effective manner.
New analytical database providers, like Aster Data, have moved to harness power of massively parallel processing (MPP) power and MapReduce processing to attain the type of relationship processing that the explosion of behavior based data sources have spurred.
As mentioned above, telecoms are some great sources of this new behavioral event data. Call Detail Records of all types (xDRs) will be the basis of future a telecom organization’s ability to avoid becoming a dumb pipe. The relationships in that behavioral event data will provide either the edge that telecoms need to make addressable advertising and location based services business cases a reality; and to fight off the challenges that Over the Top (OTT) content providers like Skype, Netflix and iTunes are bringing to the traditional telecom business model.
Are relationship analytics associated with “big data” data sources currently being used in your telecom organization? If not, why?
Post your comments below or email (John.Myers@BlueBuffaloGroup.com) / twitter (@BlueBuffaloGrp) me directly.
Posted October 6, 2010 4:00 PM
Permalink | No Comments |