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Develop an ISO 27001-compliant Information Security Management System This useful guide clarifies the steps you have to follow to develop an ISO 27001-compliant ISMS. Each step is integral in how secure your information security system is.

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	Data Profiling: Underpinning Data Quality Management sponsored by Pitney Bowes Group 1 Software WHITE PAPER - Data Profiling delivers a deeper and broader insight in a fraction of the time required by traditional approaches to data analysis. Posted: May 9, 2008 \| Published: January 1, 2007 Topics: Application Deployment \| Data Management Software \| Data Mining Software \| Data Profiling \| Data Quality \| Data Stewardship \| Data Warehouses \| Information Management \| Metadata \| Real-time Analytics

	Assessing the Potential Business Impact of Operational Data Quality IT Briefing sponsored by Pitney Bowes Group 1 Software WHITE PAPER - Explore data quality impacts, how data quality relates to business issues, and how to integrate data quality monitoring into operational systems. Posted: April 7, 2008 \| Published: April 1, 2008 Topics: Business Metrics \| Business Process Management \| Data Governance \| Data Management Software \| Data Profiling \| Data Quality \| Data Warehouse Software \| IT Spending \| Knowledge Management \| Metadata

	Three Blind Men and an Elephant: The Power of Faceted Analytical Displays sponsored by Tableau Software WHITE PAPER - Learn how faceted analytical displays can lead to insight that would be difficult to unearth otherwise. Faceted analytical displays are powerful and will help you discover new information that will translate into big benefits for your company. Posted: February 20, 2008 \| Published: January 1, 2007 Topics: Business Intelligence \| Data Management \| Data Management Software \| Data Profiling \| Data Visualization \| Data Visualization Software \| Market Trends \| Real-time Analytical Software

	Data Quality - The Foundation of Operational Effectiveness sponsored by Pitney Bowes Group 1 Software WHITE PAPER - Operational and analytical business processes rely on a solid, high-quality data foundation, but companies often neglect data quality until a major problem occurs that could've been avoided. Learn about the benefits and importance of da... Posted: September 18, 2007 \| Published: January 1, 2006 Topics: Application Service Providers \| Business Intelligence \| Customer Data Management \| Data Collection \| Data Integration \| Data Profiling \| Data Quality \| Data Warehouse Software \| Database Management

	Implementing or Upgrading SAP? Don't Forget the Data: Addressing the Challenges and Risks of Data Migration sponsored by Informatica WHITE PAPER - Data migration is a critical component of an SAP implementation. Learn how to address the five most common data migration challenges associated with SAP implementations and upgrades. Posted: July 19, 2007 \| Published: January 1, 2006 Topics: Data Integration \| Data Management Software \| Data Migration \| Data Profiling \| Data Quality \| Energy Industries \| ETL (Software) \| Insurance Industry \| Legacy Applications Software \| NetWeaver \| SAP (Product) \| Utilities Industry

	Five Steps to More Valuable Enterprise Data sponsored by DataFlux Corporation WHITE PAPER - This white paper explores a five-phase methodology to analyze, improve and control corporate data. Learn how to improve decision-making and gain competitive edge with five essential factors that encompass the building blocks of data quality integration. Posted: April 4, 2007 \| Published: June 6, 2006 Topics: Business Intelligence \| Data Governance \| Data Integration \| Data Management Software \| Data Profiling \| Data Quality \| ERP \| Information Management \| Profiling

	Data Profiling: The Foundation for Data Management sponsored by DataFlux Corporation WHITE PAPER - Data profiling is the beginning of an effective data management strategy. Although profiling techniques provide an essential first step, there is much more to a complete data management strategy. Posted: February 29, 2004 \| Published: June 28, 2004 Topics: Data Integration \| Data Management Software \| Data Profiling \| Data Quality \| Metadata

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