In today's rapidly changing business environment, data and analytics leaders are urged to adopt adaptive data-driven strategies that enhance performance across critical IT capabilities: application, data, process, people, and infrastructure. Traditional methods of data analysis are becoming obsolete due to the influx of diverse data generated by digital transformation. Realistically, organizations currently utilize only about 20% of their potential data for actionable insights. Without effective consolidation and innovative technologies, leveraging this data will become increasingly complicated, especially with the rise of AI in generating new data models.
Data and analytics leaders must build an adaptive, resilient strategy, leveraging high-performance IT capabilities to enhance enterprise health and respond to constant change.
The reality is sobering - anecdotal evidence shows that no more than 20% of all enterprise data is effectively utilized, despite the urge for a unified analytical repository.
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