Many talk about the unlimited opportunities of data and information assets. But, bad data and information can also severely hurt your business and create considerable risk. Managing risk is a new angle to selling data quality projects to upper managers who do not want to take the time to learn about the value of data quality.
Total Information Risk Management provides you with a step by step process to identify, quantify and mitigate the risks arising from poor data and information assets. It is based on novel research from the Distributed Information and Automation Laboratory at the University of Cambridge and has been proven to be successful across many different industries.
In particular, this book shows data managers and IT professionals how to:
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Dr. Alexander Borek is the inventor of Total Information Risk Management and the leading expert on how to apply risk management principles to data management. Dr. Borek is a frequent speaker at international information management conferences and author of many research articles covering a range of topics, including EIM, data quality, crowd sourcing and IT business value.
In his current role at IBM, Dr. Borek applies data analytics to drive IBM’s world-wide corporate strategy. Previously, he led a team at the University of Cambridge to develop the TIRM process and test it in a number of different industries. He holds a Ph.D. in Engineering from the University of Cambridge.
He has published numerous academic articles in leading international journals and conferences, and is an editor of The International Journal of Information Quality. In 2011, he was elected as the Chairman the IET Asset Management conference in London, after having worked on information quality with several asset management organizations. Philip also advises the UK government and leading business organizations on data management issues within the University of Cambridge Centre for Science and Policy, and is a proud member of St Edmund's College, Cambridge.
Previously, he worked in the software industry and gained his Ph.D. in Computer Science from Keele University.
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