Three barriers to effective data analytics

Digital information has been growing at such a pace that the term “big data” no longer seems adequate. Perhaps we should be talking about “massive data”, or “gigantic data”.

In any case, the term hides some of the central problems with business analytics today. Many companies have solved or largely solved the problem of how much data there is. Cloud storage makes it easy to store data, and many organisations have made heavy investments in data warehouses to manage their data. Analytics remains immature Yet, few have reached a level of maturity with their analytics that can be considered transformational. A global Gartner survey of 196 organisations found that only 9% considered they matched Gartner’s definition for the highest level of maturity, where data and analytics are central to business strategy. 

Author: Helena Schwenk

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