Extracting Knowledge from Big Data: The Need for a Holistic Solution

 

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Everyone is talking about Big Data, but few organizations are successfully analyzing it, figuring out what it means, and then applying the insights to make more informed business decisions. This article explains the technological investments and cultural changes organizations must make in order to fully harness the power of Big Data.

This article is shared with permission from the original publisher, Iknow LLC. Iknow, a leading management and technology consulting firm, that was selected as the official sponsor of APQC’s 2017 Knowledge Management Conference.

Comments (1)

I recognize that this is a

I recognize that this is a marketing paper, not a technical white paper, but I would challenge the viability and value proposition that is inferred. Unless the big data insights can be acted on to benefit enterprise activity there is no value.
First of all, the big data observations have to be relatable to an enterprise activity that can benefit. However, everything has a consequence and that usually means both upstream and downstream impacts as well. This requires clear visibility of data and activity and rules.
Unless the operational systems are engineered to be responsive and flexible, integrated and aligned; I would assert that the big data insights are just going to be to a large degree non-actionable. Unless there is an engineered data foundation for the enterprise that includes the Activity and all the relationships of various data objects and rules to enterprise activity, insight responsive actions are difficult to execute unless they are limited to doing more or less of the usual. This leaves a big hole in the value proposition of big data.
The "Data Democracy" paragraph is spot on. However, without the ability to execute with reliable response to big data insights via the operational systems, the Enterprise is still stuck with management by fiat.

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