Tomorrow I will be participating in the Briefing Room (to register or for more information)
with Tableau Software
to look at big data analytics. Essentially how to connect the dots and get value out of big data.
Up until recently, organizations were struggling with the challenges associated with managing big and complex data sets. Now that various platforms exist and businesses can centralize distributed information assets, the challenge turns to accessing that information and turning it into actionable information. Obviously, business intelligence (BI) is a natural fit and can help organizations with this challenge.
On the other hand, not all BI solutions are created equally within the "big data" game and businesses need to be careful and tie in their big data needs and platforms used with what they hope to get out of the solutions they choose. Simply hooking data up to a BI offering won't provide the added-value hoped for. Unless companies can identify what they hope to achieve and the bottom line items required for their success, they may be chasing information visibility and better analytics but not achieving their goals of big data management.
For organizations wanting to go this extra mile, developing an analytics framework and tying in data that is required for operations or more efficient business strategy requires looking at what is being stored within a "big data" platform, and what exists outside in other forms. For instance, organizational data, even if consolidated, will not be the only data being used by business decision makers. External, social, supplier, etc. types of information access points need to be looked at.
The bottom line is that simply managing big data is no longer enough. Companies require broader information management and analytics that look beyond simply managing data assets and utilizing all of the relevant information needed to become more competitive. To read more about moving beyond general big data management, click here