A Blog by Jonathan Low

 

Jun 7, 2017

Why Fewer Than Half the Companies Surveyed Report Achieving Measurable Results From Using Big Data

Less than half - 48.4% - of executives report achieving measurable results with big data. What?

Turns out  that creating the proverbial 'data-driven culture' in which popular sentiment would suggest we now work and live is a lot harder to establish than even the most bottom-line oriented would have thought.

In the chart at left, it is particularly noteworthy that 45% of those surveyed have not even started using big data to add revenue and only 27.9% have either established said culture or begun to transform their enterprise for the future. This is going to be a process and it is going to take time. Just like the technology that generates it, data cannot simply be plunked into the middle of an established organization and be expected to work miracles. Re-thinking and adaptation are required for optimization. JL

Randy Bean reports in Harvard Business Review:

A near majority – 48.4% — report that their firms are achieving measurable results from their big data investments, with 80.7% characterizing their big data investments as “successful.” Organizations still struggle to forge what would be consider a “data-driven” culture. Big transformations take time, and while the vast majority of firms aspire to being “data-driven”, a much smaller percentage have realized this ambition.
Are companies seeing any value to their investments in “big data”? I’ve been surveying executives of Fortune 1000 companies about their data investments since 2012, and for the first time a near majority – 48.4% — report that their firms are achieving measurable results from their big data investments, with 80.7% of executives characterizing their big data investments as “successful.”
Survey respondents included Presidents, Chief Information Officers, Chief Analytics Officers, Chief Marketing Officers, and Chief Data Officers representing 50 industry giants, including American Express, Capital One, Disney, Ford Motors, General Electric, JP Morgan, MetLife, Nielsen, Turner Broadcasting, United Parcel Service, and USAA.
The chart below illustrates the range of big data initiatives that are underway at leading corporations, with expense reduction being the most mature, as measured by the number of initiatives that are underway, with nearly one-half of all executives indicating that they have decreased expenses as a direct result of their investments in big data.
W170424_BEAN_HOWFORTUNE

However, big data isn’t just being used for cost-cutting. The survey strongly indicates that firms are also undertaking “offensive” efforts that are explicitly intended to change how they do business.  After the initial “quick wins” are wrung from cost-reductions, executives are turning their attention to new ways to innovate using data.
In spite of the investment enthusiasm, and ambition to leverage the power of data to transform the enterprise, results vary in terms of success. Organizations still struggle to forge what would be consider a “data-driven” culture. Of the executives who report starting such a project, only 40.2% report having success. Big transformations take time, and while the vast majority of firms aspire to being “data-driven”, a much smaller percentage have realized this ambition. Cultural transformations seldom occur overnight.
At this point in the evolution of big data, the challenges for most companies are not related to technology. The biggest impediments to adoption relate to cultural challenges: organizational alignment, resistance or lack of understanding, and change management.Big data is already being used to improve operational efficiency, and the ability to make informed decisions based on the very latest up-to-the-moment information is rapidly becoming the mainstream norm. The next phase will be to use data for new products and other innovations. About half of the executives I surveyed predict major disruption on the horizon, as big data continues to change how businesses operate and compete. Companies that fail to adapt do so at their own competitive and market risk

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