The Analyst Trying to Make Enterprise Data Actually Useful

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.