Episode
The Analyst Trying to Make Enterprise Data Actually Useful
- Podcast
- The Good Tech Companies
- Published
- Jul 15, 2026
- Duration seconds
- 267
- Processing state
not_requested- Canonical source
- https://share.transistor.fm/s/d7119d5a
Actions
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Summary
This story was originally published on HackerNoon at: https://hackernoon.com/the-analyst-trying-to-make-enterprise-data-actually-useful . Discover how Uday Surendra's IEEE research explores cloud-native analytics that unify fragmented enterprise data to improve forecasting and decision-making. Check more stories related to undefined at: https://hackernoon.com/c/undefined . You can also check exclusive content about #enterprise-data-analytics , #cloud-native-analytics , #data-integration-platform , #operational-analytics , #ieee-enterprise-analytics , #cloud-data-architecture , #decision-support-systems , #good-company , and more. This story was written by: @jonstojanjournalist . Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com . Most enterprises don't suffer from a lack of data—they suffer from disconnected systems that prevent teams from seeing the full operational picture. In his IEEE research, Uday Surendra Yandamuri proposes a cloud-native analytics approach that unifies historical and real-time data to improve forecasting, operational visibility, and decision-making. Rather than replacing human judgment, the framework delivers industry-specific insights that help organizations make faster, better-informed business decisions.