MIT Research Paper
Building a high-performance data organization
This MIT Technology Review Insights report summarizes the findings from interviews with nine data leaders from leading global brands and a global survey of more than 350 CDOs, CIOs and other data leaders. Learn valuable insights such as:
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.
- Why over 50% of respondents said they’re struggling to scale ML use cases
- Why open standards are the top requirement for future data architecture strategies
- Why only 13% of organizations are delivering on their data strategy (and what these leaders credit their success to)
“As tools advance and people become more familiar with advanced analytics and data science, we’ve got to give users the ability to run the analytics themselves, rather than just consume analytics that someoneelse produces,”