6 self-service obstacles for analysts that modern data leaders should not ignore
Ensure the success of your self-serve analytics
Self-service analytics, whether in a data lake, warehouse, or data mesh environment empowers data analysts to easily access and analyze data independently, promoting a culture of data-driven decision-making across the organization.
This ebook highlights the six most common obstacles modern data leaders must avoid in order to ensure analysts and business users can successfully take control of their own data analysis.
Read this ebook to learn:
- 6 common obstacles standing in the way of the value that self-serve analytics can deliver
- Steps to take to realize the promise of self-serve and high-value data products using low code
- How Waterfall Asset Management has reduced the time to prepare and transform data from up to 2 weeks to about 1⁄2 a day — a 14x performance gain
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