Data culture and tech must work hand-in-hand to bring business along the journey of data discovery and tech evolution, writes iOCO Qlik’s Kevin van der Merwe. IndustryInsight DataCulture
Traditional, manual data integration processes can't meet today's data demands − but modern, automated technology can.
The knowledge of that business reality more often sits in the non-technical business space. That is why data culture and technology need to work hand-in-hand to bring transformation change. Why is this an element of data culture? Because technology will help to bring data to the business and embed it into workflows − business frontline workers or executives will make data-driven decisions in the moment without having to go to an analytical system for the insight.
Many people are involved in converting raw data into improved action. All the way back from system owners, data transfer and transformation, insights, analytics and decision-making − this is called the data value chain. So often we spend a lot of time and effort getting to insight, but we fail to unlock value because data culture has not filtered through to the business decision-makers. That is why technology is so important, but people are more important when it comes to culture.The first thing to do is to understand that this begins with recognition of the current state of the data culture.
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