For Business Process Professionals

Really Urgent Analytics: The Sweet Spot For Real-Time Data Warehousing

Why Read This Report

While information and knowledge management (I&KM) professionals occasionally demonstrate returns on their real-time data warehousing investments, most business intelligence (BI) architectures continue to rely on enterprise data warehouses (EDWs) as an aggregation point for historical data loaded in batch from operational repositories. Early adopters aside, I&KM professionals are increasingly rethinking their EDW architectures to optimize their infrastructures for real-time applications. Often they add real-time support, leveraging short batch windows, trickle-feed loading, changed data capture, and other ETL-acceleration approaches. Alternatively, I&KM pros may rely on architectural approaches like operational data stores, event stream processing, data federation, and information fabric, approaches that either supplement the EDW or bypass it altogether. These real-time approaches offer compelling strengths and perilous weaknesses, so I&KM professionals must do their homework if their goal is to design a more flexible EDW to support really urgent analytics.
US $ 499
Become A Client

Get objective, pragmatic guidance that helps you make tough decisions and succeed in a complex world. Contact us to learn more.

Already A Client?
Log in to read this document.

TABLE OF CONTENTS

  • Your Business Is Fueled By Fast Analytics
  • Traditional EDWs Support Real-Time BI, But Not Always Optimally
  • For Really Urgent Analytics, Consider Various Approaches
  • RECOMMENDATIONS

    Take A Business-Driven Approach To Real-Time Analytics
  • WHAT IT MEANS

    Consider The Incremental Cost For Real-Time Analytics
  • Supplemental Material
  • Related Research Documents