Free webinar - Total information risk management - making the business case for data quality programmes

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• Friday 10 October 2014, 10:00-10:45
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If you have a question about this talk, please contact Lauren King.

Overview Data is key to the daily operations of all organisations and we are increasingly dependent on – and trusting of – that data. The information we get from databases and information feeds is used at all levels of business to make decisions.

But what happens when we base those decisions on poor quality data? Utility companies with poor asset data provide poor quality service, incur additional costs and suffer from customer churn Retail organisations with poor inventory data or supplier database errors risk stock-outs, lost sales, customer dissatisfaction and loss of customers to competitors. Intuitively, we understand the impact of poor quality data. But how do we do prioritise projects to improve that data? And how do we quantify the value of that data to build the business case for data quality improvement programmes?

Total Information Risk Management (TIRM) applies accepted risk management techniques to data and information. It enables organisations to quantify the risks associated with poor data and to make the business case for IT programmes to address data quality issues.

During this webinar, researchers and practitioners from the Institute for Manufacturing will explain the need for formal risk management processes to address information quality risks. They will outline the concept of TIRM , discuss case studies which demonstrate its successful application in asset-rich organisations and take questions from participants.

This talk is part of the IfM Seminars series.

This talk is included in these lists:

• Cambridge talks
• Centre for Smart Infrastructure & Construction
• IfM Seminars
• Interested Talks
• Trust & Technology Initiative - interesting events
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