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.