Alexander Borek's Total Information Risk Management. Maximizing the Value of PDF

By Alexander Borek

ISBN-10: 0124055478

ISBN-13: 9780124055476

Many discuss the limitless possibilities of information and data resources. yet, undesirable info and knowledge may also significantly damage your enterprise and create enormous probability. coping with possibility is a brand new attitude to promoting facts caliber initiatives to top managers who do not need to make the effort to benefit in regards to the price of information quality.

Total details danger administration will give you a step-by-step procedure to spot, quantify and mitigate the hazards bobbing up from negative facts and knowledge resources. it truly is in response to novel learn from the dispensed details and Automation Laboratory on the college of Cambridge and has been confirmed to achieve success throughout many alternative industries. 

In specific, this publication indicates facts managers and IT pros how to:

  • Complete a resounding company case for any info caliber, information governance, giant information, EIM, company intelligence, company analytics and IT projects
  • Develop a transparent hyperlink among info caliber and your organization's enterprise objectives
  • Identify facts caliber "pain issues" that experience the top impression in your organization's success
  • Get superior "buy-in" from senior executives for information caliber improvement
  • Manage information and data resources for company price on your organization

This e-book will give you the entire primary techniques, instructions and instruments to make sure center enterprise details is pointed out, safe and used successfully, and written in a language that's transparent and simple to appreciate for non-technical managers.

  • Shows tips to deal with details threat utilizing a holistic strategy by means of analyzing info and data resources from all sources
  • Offers diversified views of an writer workforce that brings jointly lecturers, practitioners and researchers (both technical and managerial) to supply a complete guide
  • Provides real-life case experiences with useful perception into the administration of knowledge probability and gives a foundation for broader dialogue between managers and practitioners

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Additional info for Total Information Risk Management. Maximizing the Value of Data and Information Assets

Sample text

ACM Computing Surveys (CSUR), 41(3). , & Parlikad, A. K. (2012). IS/IT Resources and Business Value: Operationalization of an Information-Oriented Framework. Enterprise Information Systems 13th International Conference, ICEIS 2011, Beijing, China, June 8–11, 2011, Revised Selected Papers. Vol. 102. Lecture Notes in Business Information Processing. Berlin: Springer. , Srivastava, R. , & Mak, B. (2003). A Conceptual Framework and Belief-function Approach to Assessing Overall Information Quality. International Journal of Intelligent Systems, 18(1), 51–74.

An information quality methodology can be data or process driven, can concentrate on assessment or improvement, and may follow a special purpose or a general purpose. , XML-formatted data) data but are not suitable for unstructured data, 27 28 CHAPTER 2: Enterprise Information Management such as presentation slides or word-processed documents. The assessment of information quality can be partly automated with existing software tools like data profiling that include column analysis, matching algorithms, and semantic profiling (see Chapter 12).

Management Science, 41(12), 1827–1844. , & T Park, Y. (2005). An Experimental Study of the Effects of Representational Data Quality on Decision Performance. AMCIS 2005 Proceedings, 298. Juran, J. M. (1988). ). New York: McGraw-Hill. Keller, K. , & Staelin, R. (1987). Effects of Quality and Quantity of Information on Decision Effectiveness. The Journal of ­Consumer Research, 14(2), 200–213. Lee, Y. , Pipino, L. , Funk, J. , & Wang, R. Y. (2006). Journey to Data Quality. Cambridge, MA: MIT Press.

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Total Information Risk Management. Maximizing the Value of Data and Information Assets by Alexander Borek


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