Real-Time Data Analysis: Stirring Information Management from Analysis to Analytics
Sandeep Kumar Sharma1 and Satya Roddam2
1Specialist Leader, Deloitte Consulting India Pvt. Ltd, Hyderabad
2Senior Manager, Deloitte Consulting India Pvt. Ltd, Hyderabad
Organizations rely on statistical and predictive analysis methods for decision making. Any information concerning the future evolution of business flows is of great importance to stakeholders of internal and external entities of businesses in order to adjust their strategy, operations, and finances in effective and efficient ways. This paper aims to present a business intelligence (BI) technique to convert time-driven architecture to event-driven architecture during the unusual behavior of business. We propose the architecture on how we can makeover the traditional data warehouse (DW) into real-time DW which can aid the business to take timely decisions and mitigate the risks.
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