ITWeb Industry Insight: An effective data culture is not only about having the appropriate volume, velocity, or variety of data, writes iOCO Qlik’s Kevin van der Merwe.
, I expanded on the meaning of data culture. Here, I reveal the critical elements that need to be in place to build data culture, namely:People − drive actions that transform business
It isn't just about having volume, velocity, or variety − also known as the three Vs of data. It is necessary to examine which part of the data pipeline could add the most value to existing estate/capabilities. Management of the supply chain from the source of production through to the final customer is monitored, managed, and sometimes predicted, as a result of data − latterly the internet of things is leveraged as an enabling tool. Analytics programs also assist to uncover missed opportunities.
Once we have the data set up to answer questions, we must build new flows and transformation. This causes great frustration and often causes shadow BI projects to pop up in business units that cause multiple versions of the truth and silos of competing data owners. Due to the increase in the number of sources and bandwidth speed, we now have the opportunity to get insights into business moments and react while the opportunity or threat is real. Acting in the moment will give the business the edge to outperform its competitors and in a hyper-competitive world, this is immensely valuable.
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