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This paper has been superseded by Data Cleansing (December, 2013)

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Data Cleansing
Published: 7th May 2009 | By:
The third of four Market Updates on data discovery, data profiling, data cleansing, and data quality platforms respectively.

Cover for Data Encryption

Data Encryption
Published: 26th March 2009 | By:
Data encryption forms an integral component of a secure computing environment.

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Data Leak Prevention
Published: 26th March 2009 | By:
Data leak prevention can play a significant part in data protection as it prevents unauthorised data leaving an organisation's endpoints.

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Enterprise Data Protection
Published: 26th March 2009 | By:
The need for Enterprise Data Protection is now more pressing than ever before.

Cover for Data Profiling Market Update 2009

Data Profiling Market Update 2009
Published: 26th February 2009 | By:
The second of four Market Updates on data discovery, data profiling, data cleansing and matching, and data quality platforms respectively.

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Data Discovery
Published: 4th February 2009 | By:
This is the first of four Market Updates on data discovery, data profiling, data cleansing and matching, and data quality platforms respectively.

Cover for Master Data Management Market Update – 2008

Master Data Management Market Update – 2008
Published: 12th January 2009 | By:
This document provides a snapshot of the current state of the Master Data Management (MDM) market.

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Business Process Management
Published: 9th January 2009 | By:
Process Management is a holistic practice that models an enterprises human and machine tasks and the interactions between them as processes with the view of improving agility and performance.

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Application Security
Published: 21st October 2008 | By:
IT security experts can no longer ignore this crucial field, and must work with their software development colleagues to help fix code-related security problems

Cover for Comparative costs and uses of Data Integration Platforms

Comparative costs and uses of Data Integration Platforms
Published: 7th August 2008 | By:
This paper examines how data integration platforms are being used: what types of integration tasks they are being used for, on what scale, and whether this differs by product or vendor.

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