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Big Data: Moving Beyond the Setbacks of Early Implementation Failures
Big data projects are on the rise, but unfortunately many big data projects to date haven’t been successful. A survey by CapGemini‘s found that only 13 percent of organizations have been able to build big data into a project that’s gone into production and only 27 percent of businesses using big data say that their projects have been successful.
Part of the reason for the big data project failures has been ill-defined goals and objectives and a lack of up-front implementation planning, according to the CapGemini report. Jeff Hunter, vice president of North America CapGemini, said that “generally, it’s a disconnect between the output and a clearly defined business driver or goal. And along the way, people get engulfed in the technology… The firms that we see succeed [have] centralized the concept of consumption of big data technology, leverage of data science, and application of analytics. They’re the ones we see moving faster.”
Yet despite the problems with early implementations of a relatively new technology, there’s room for optimism. Hunter said that “I’m seeing the same cycle beginning as with the Internet and e-commerce. In the entirety of the community, a few companies create success. Those who have embraced big data, even those who have experienced setbacks and failures, [are gaining experience]. They’re seeing that data-driven decision-making has its place in how you run a business. Those successes are going to be a catalyst to speed up other projects.”
