Let’s discuss what data intelligence looks like in a modern enterprise and how leaders can achieve it today.
An organization’s knowledge of where, how, and when to leverage data directly relates to its level of data intelligence, a concept originated by Stewart Bond, VP of Data Intelligence and Integration Software at IDC. Data-intelligent organizations aren’t marred in the processes of data governance or quality and management; instead, they’re france whatsapp number data empowered by their data, learning and growing alongside it. These organizations have a healthy relationship with data, viewing new content and context as a helping hand, not a hindrance. Compare that to organizations swimming in data, too preoccupied with storing information to begin understanding it.
Gartner predicts that 80% of data and analytics initiatives will fail by 2027. The source of this failure? Popular but inflexible data governance models that prioritize control over their data instead of market opportunities. Simply put, data intelligence represents a better or more focused approach for most modern data environments. It emphasizes the importance of real-time insights and data in motion, empowering decision-makers to capitalize on market opportunities instead of worrying about avoiding the consequences of bad data.
Several markers exist to determine whether an organization has achieved data maturity. Data-intelligent enterprises can process vast amounts of data in real time; capture insights from this data without friction; access it through one “golden record”; and never worry about its quality or accuracy.