September 5, 2012
Now more than ever, today’s enterprises want to more effectively manage and optimize daily business activities. The way to do this is through the creation and utilization of operational analytics. The goals of operational analytics are to reduce latencies through real-time or near-real-time data collection, speed up data analysis and the decision-making process, and create a closed-loop decision cycle where the results and decisions from BI processing are incorporated into daily operations.
Given the growing demand for operational analytics, balancing business drivers and benefits against technology requirements and costs is particularly important. This is especially the case as business needs approach real-time decision making. The overall technology considerations include the technical feasibility and IT costs of bringing this critical capability to the business.
This TDWI Checklist Report examines the business drivers and technology requirements for deploying operational analytics. The main objectives of the Checklist are to identify specific business benefits of operational analytics, review the ways these benefits can be achieved, and explain the potential trade-offs or IT costs involved.