Real-Time & Active Data Warehousing The Future of Operational Intelligence
Year: 2025
Type: article
Abstract: Over the last few years, I have seen a dramatic shift in how businesses approach data. In today’s fast-aced world, relying on yesterday’s reports just doesn’t work anymore. Whether it’s e-commerce reacting to shopper behavior or banks managing fraud, real-time data has moved from luxury to a necessity. Most Organizations increasingly require up to the minute intelligence for mission critical decisions, the shift from batch processing to real time data ingestion and processing has become both usual and strategic. This paper explores how real-time and active data warehousing is reshaping that landscape not just as a technical evolution, but as a business-critical strategy. Through an examination of practical implementations, industry shifts, and technological foundations, this study articulates why active data warehousing is more than just a technological upgrade. It’s a business imperative. It’s worth saying again because it’s that important. Keywords- Real-Time Data Warehousing, Active Data Warehousing, Operational Intelligence, Business Intelligence (BI),Data-Driven Decision Making, Predictive Analytics, Streaming Data Integration, Streaming, Ingestion, Predictive stream, Real-Time Intelligence
Author: Prasanth Sathyapalan
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7081633559
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