The recent explosion of available data has created an ever-increasing need for more effective methods to help us make sense of it. According to Gartner research, 30% of organizations will harness the collective intelligence of their analytics communities—outperforming competitors that rely solely on centralized analytics or self-service, by 2023.
Data-driven decision-making (DDDM) is the process of collecting data based on targeted performance goals and using that data to gather actionable insights. Data and analytics are now involved in all aspects of our businesses, communities, and personal lives.
This paper discusses the essentials of DDDM and four core components that dominate the current discussion about how companies can make better decisions.
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