There are 14 sectors represented in the sample, and all respondents work in organizations earning $1 billion or more in annual revenue.
Every organization recognizes the strategic value of generating actionable insights from their enterprise data. That’s why data-driven companies are deploying increasingly advanced cloud-based technologies, including analytics tools with machine learning capabilities — but they’re still hamstrung by a lack of abundant, easily accessible, high-quality data.
How are organizations grappling with this dilemma? This MIT Technology Review Insights report summarizes the findings from a global survey of more than 350 CDOs, CIOs and other data and analytics leaders from companies such as CVS, Estée Lauder, Hivery, McDonald’s and Northwestern Mutual.
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