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Data Leadership: Top Cloud Analytics Mistakes - and How to Avoid Them
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"Data Leadership: Top Cloud Analytics Mistakes - and How to Avoid Them"

Data-Focused Executives from 100 Mid-Market Companies Reveal the Top Challenges Facing Their Data, Analytics, and AI Strategies and How They’re Working to Overcome Them.

Claim your free copy of 'Data Leadership: Top Cloud Analytics Mistakes – and How to Avoid Them.'

The past two years have shown us how vital it is for companies of all sizes to remotely enable superior
decision-making with data-driven technologies.

While most executives understand the benefits of migrating data and services to a cloud-based analytics platform, securing the budget to do so remains an issue.

Our research shows that while the majority of organizations are over halfway through their migration, leaders feel unprepared when it comes to integrating operational and transactional data sources within these new data ecosystems.

Mid-tier organizations need the right talent and tools to successfully realize the value of their data and analytics framework in the cloud. Our research shows that many companies are increasingly prepared to work with cloud consulting partners to access the skills and capabilities they require.

This survey of 100 data and analytics leaders from the financial services, insurance, telecoms, retail, and
manufacturing sectors highlights the challenges enterprises face at each step of the data modernization journey – from designing the right data architecture to developing a cloud migration roadmap.


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