Today every company is in the data business. Yet the transformational promise of big data success remains elusive: only 15 percent of big data projects meet expectations, and more than 70 percent of the potential value remains unrealized.
The critical challenge for today’s enterprises is how to balance their users’ data demands with the economics of scaling up their data operations. As the volume, variety, and velocity of data grow exponentially, data teams put increased pressure on their infrastructure and staffing resources. Often, IT infrastructure and skills simply cannot keep up with user demand, which leads to the activation gap.
Data teams are getting overrun
increasing workloads, costs and risks
More users want on demand access to data
Manual provisioning makes it impossible to scale
Exploding data changing workloads, new data types overwhelm data team
Missed SLAs: data delayed is data denied
Not enough expertise to go around: 190K unfilled jobs in US alone
The Consequence: The Activation Gap
Upside-down economics are holding back the business
What sets successful companies apart today is their ability to shift to a big data activation strategy to exponentially activate petabytes of data faster, for everyone, while continuously reducing costs.
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