Who’s Driving the Big Data Bus?

  • Posted On: June 28, 2017

During a recent Twitter #cxo chat, an interesting discussion came up about “ownership” of big data. Most talked about having goals and objectives lead big data implementations. If this were the case, business groups would be leading the way. But in many orgs, big data implementations and utilization is being spearheaded by IT groups. Is there a mismatch here?

From our perspective, big data can and does mean a number of things. IMS believes it’s not just about the volume or velocity of data, it’s also about the quality and intricacy of the data. Depending on the scenario, item-level customer-specific transaction data may not warrant Hadoop level management, but it surely is of high quality, where data integrity and structure for deep analytical work is critical.

So, who should own big data? Big data ownership needs to be a truly collaborative venture, where shared vision, goals, resources, and knowledge sharing takes place. A collaboration where IT and Business groups support each other to do two big things: One, analyze data to find new ways of doing things better, faster, and more efficiently, and two, explore data to uncover new trends, needs, and opportunities that at present are unknown. It is the merging of understanding what has happened (customer transaction data), with why it has happened (unstructured and qualitative data), to explore and test what should happen next (predictive analysis). All this – using data that’s exclusively yours – is the “unfair advantage”.

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IMS is a technology services company that has been serving the Retail Industry for over 25 years. While we specialize in serving small/medium businesses, we have also completed projects on some of the world’s biggest stages. We help businesses efficiently manage operations by improving processes, implementing unique and comprehensive integrations, and providing additional sources of data intelligence. We believe that by providing businesses with the tools, technology and insights needed to gather and analyze their data more effectively, we can help them create a competitive advantage.

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