Data-centric businesses are 58% more likely to exceed revenue goals
Data-centric businesses are 58% more likely to exceed revenue goals
IT Data Solutions
43% said their organizations fail to routinely use data to drive decisions and strategy, according to a report by Forrester Consulting and Collibra.
Organizations that put data at the center of their vision and strategy have a competitive advantage over non-data organizations, and 58% of organizations adopting data intelligence are more likely to exceed revenue goals than non-data intelligent organizations, according to a new report.
More than 900 global business analysts were surveyed in January about their use of data to drive decisions and achieve key business objectives, according to the report, The Business Impact of Data Intelligent Management, by Forrester Consulting and data intelligence company Collibra.
While 84% said it is very important to put data at the center of their crucial business decisions and strategy, 43% said their organizations fail to routinely use data to guide business decisions, the report said.
Data intelligent organizations are defined as those that have the ability to connect the right data, insights, and algorithms so people can drive business value. Such organizations realized an 8% advantage in improving customer trust, an 81% advantage in building revenue, and a huge 173% advantage in better complying with regulations and requirements, according to the report.
Without a data management strategy, analysts often spend time on tasks that take away from their ability to perform analysis and provide value, the report said. 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, Collibra said.
Competitive advantage with data
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 “are able to achieve their top business priorities, which respondents reported as cost savings, revenue growth, and improved customer experience,” the report stated. “Data intelligent organizations also see advantages across the seven pillars of data management: discover, access, comprehension, collaboration, sharing, trust, and execution.”
The report also found that the COVID-19 pandemic illustrates how risk mitigation strategies can arguably be as important—if not more so—than growth objectives in times of economic uncertainty.
