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Without a data management strategy, analysts often spend time on tasks that take away from their ability to perform analysis and provide value. This is a resounding issue for less data-mature organizations, which are 55% less likely to say their data management strategies positively contribute to optimal business decisions.
Those insights-driven decisions are also yielding more successful outcomes, giving data intelligent organizations a competitive edge in achieving their key business objectives. These organizations, which have the ability to connect the right data, insights and algorithms so people can drive business value, realized an 8% advantage in improving customer trust, an 81% advantage in growing revenue, and a 173% advantage in better complying with regulations and requirements. Those organizations adopting Data Intelligence were also 58% more likely to exceed their revenue goals than non-data intelligent organizations.
“To lead with data, companies need to advance how they discover, organize, collaborate with, and execute on the data they have,” said Felix Van de Maele, co-founder and CEO of Collibra. “Companies also must optimize how data analysts spend their time and automate rote tasks with data management technology. By freeing analysts up to spend more time on value-added tasks, organizations can decrease time to insight and accelerate trusted business outcomes.”
