As per Gartner, by 2023, organizations will move two-thirds of analytics to the cloud. Gartner also predicts that by 2025, 70 percent of new applications developed by enterprises will use low-code or no-code technologies — up from less than 25 percent in 2020. And it’s a change that demands serious consideration by organizations that want to create and sustain a competitive advantage.
The worlds of data science, business intelligence, and machine learning are colliding with the cloud. In the complimentary report, you’ll see why that collision is happening and how to make it work for you, including:
- How to plan your transition holistically — yet build it incrementally , for faster delivery of deeper analytics
- How to solve real-world business problems with the new level of composability that the cloud enables
- Key features and their use cases for modern BI, ML, and data science platforms

Importance of Data Literacy
The results from IDC's Importance of Data Literacy findings provide you with the current state of intelligence, capabilities, challenges, benefits, and outcomes of today's enterprises.

Data and Analytics in a Digital-First World
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2021 FSN Report: Agility in Planning, Budgeting and Forecasting (PBF)
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