Abstract

Getting across the value of improving information quality has always been one of the hardest things to do in information quality management. The improvement of information quality is too often guided by managers’ “gut feeling”. At the University of Cambridge, we have developed and industry-tested a process for Total Information Risk Management (TIRM), which enables to model, quantify and mitigate risks arising through poor information quality (see www.informationrisks.com). We will show how TIRM enables you to obtain robust results that can be used as input for sensible business plans for information quality. TIRM application case studies from different industries are presented.

-Getting a better understanding of how information quality affects your business -Focusing your data and information quality initiatives on the “pain points”, where they bring the best business benefits -Providing quantitative financial measures to build more sensible business cases for information quality improvement