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Five Fundamental Data Quality Practices by Pitney Bowes Business Insight
January 11, 2010 - (Free Research)
When developing or reengineering the enterprise architecture, implementing fundamental data quality practices can reduce the complexity of the data management framework thus reducing effort, risk, and leading to a high degree of trust in enterprise information. Read this paper to learn more about data quality practices and core data services.
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Five Fundamental Data Quality Practices by Pitney Bowes Group 1 Software
September 14, 2011 - (Free Research)
This white paper is a list of five data quality practices and how they can be implemented into an organization's daily data quality processes.
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Information Quality Management (IQM): Assessing Your IQM Practice by Harte-Hanks Trillium Software
March 17, 2011 - (Free Research)
Organizations are starting to see the connection between making information available and leveraging it to be more agile and productive. This paper offers a practical guide to assess your information quality maturity level, and provides a framework to align information quality management practices to business objectives and results.
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Busting 7 Myths about Data Quality Management by Information Builders
November 01, 2011 - (Free Research)
In recent years, more organizations have fixated on improving the quality of their data – but one of the major obstacles holding them back are the myths about what makes up an effective strategy. Review this paper to learn the top 7 myths and tips on how to craft an effective data quality management strategy.
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Uniting Your Automated and Manual Test Efforts by SmartBear Software
September 14, 2010 - (Free Research)
Software development teams are always looking for an edge to produce features more quickly while retaining a high level of software quality. This document describes best practices for uniting both automated and manual test efforts to improve your software releases and obtain the highest quality releases in the shortest amount of time.
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Software Testing Best Practices by Micro Focus
May 15, 2012 - (Free Research)
Read this expert guide to learn four best practices to increase your software testing quality and accuracy while decreasing your overall costs. Also, use this as a guide to inform your managers about how to best manage software testing processes.
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Data Quality by the Numbers: Best Practices for Managing Business Data by DataFlux Corporation
March 2008 - (Free Research)
Find out how data quality technologies can be customized to support a broad variety of business data and provide the same capabilities -- data profiling, data quality, data integration, data enrichment and data monitoring -- that govern customer data.
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SOA Best Practice Report - Governance Led Practices to Deliver Effective Semantic Integration by Progress Software
February 2011 - (Free Research)
Poor quality data can spell disaster for SOA or BPM initiatives. Enterprise-wide data initiatives cross many boundaries, both technical and departmental, and are often high risk. This paper describes how a governance led approach can progressively deliver semantic integration with minimum short term cost, less complexity and reduced maintenance.
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IBM Rational Workbench for Systems and Software Engineering by IBM
June 2010 - (Free Research)
This white paper illustrates how proven methodologies and best-of-breed tools, such as Rational DOORS, Rational Rhapsody, Rational Team Concert, and Rational Quality Manager, can help you design high-quality products that meet customer requirements.
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IBM Rational Workbench for Systems and Software Engineering by IBM
June 2010 - (Free Research)
This white paper illustrates how proven methodologies and best-of-breed tools, such as Rational DOORS, Rational Rhapsody, Rational Team Concert, and Rational Quality Manager, can help you design high-quality products that meet customer requirements.
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Requirements Engineering for the Automotive Industry by IBM
March 2009 - (Free Research)
This white paper explores requirements engineering and its groundbreaking role in product development and engineering for the industrial segment. It discusses the best practices and benefits of requirements engineering, and how automotive manufacturers can overcome today's quality and cost challenges using those best practices.
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Build and Execute an Automated, Integrated, Repeatable Testing Strategy Webcast by SAP America, Inc.
July 2011 - (Free Research)
View this webcast to learn about a comprehensive testing and quality management strategy that can help reduce the risks associated with your IT projects. Continue listening to learn best practices for developing an effective, repeatable testing and quality assurance strategy and, most importantly, how to execute on that strategy.
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E-Book: Ensuring data quality throughout your Oracle Environment by Oracle Corporation
April 2013 - (Free Research)
This expert e-book outlines best practices for ensuring data quality throughout your Oracle environment. Inside, compare options for handling both customer and product data, and learn the steps you need to take on you data quality initiative.
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The 10 Worst Practices for Technical Support and How to Overcome Them by NTR Global
October 2009 - (Free Research)
This white paper will explore 10 of the "worst practices" that are common to customer support operations. We will discuss how these worst practices can creep in to your contact center and ways to deal with them. We will also touch on how to eliminate well‐intentioned management blunders and discuss good and bad uses of support technology.
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Data stewardship program: Quality booster, but a hard step for many by SAP America, Inc.
December 2012 - (Free Research)
Data stewards are central to the success of data governance programs. Without data stewards to facilitate the communications about data issues between IT and the business side, diverging data definitions, policies and quality controls can easily get out of control. This e-guide offers tips and best practices.
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Step by Step: A methodology to information quality by Harte-Hanks Trillium Software
May 2011 - (Free Research)
Do you have an existing information quality strategy? While most organizations understand the need for data quality, they still face the challenge of implementing an effective strategy to provide information that aligns to business requirements. Register for this webcast and learn the 4 steps to a successful information quality strategy.
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