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Building Data Quality Efforts Into Everyday Processes by DataFlux Corporation
July 06, 2012 - (Free Research)
Poor data quality at the most minor level can have major ramifications. Read this expert e-book to gain advice on how to make data quality a high priority in your day-to-day business operations. Discover tips on implementing internal data quality standards and how to train users on data quality best practices.
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Improving Data Quality Through Data Modeling by CA ERwin from CA Technologies
July 22, 2010 - (Free Research)
Explore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.
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Data Quality Strategy: A Step-by-Step Approach by SAP America, Inc.
February 01, 2010 - (Free Research)
Learn about the importance of having a data quality strategy and setting the overall goals. The six factors of data are also explained in detail and how to tie it together for implementation.
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DataFlux Positioned in Leaders Quadrant of the 2010 Magic Quadrant for Data Quality Tools by DataFlux Corporation
July 29, 2010 - (Free Research)
DataFlux was recently positioned by Gartner, Inc. in the Leaders Quadrant of its 2010 “Magic Quadrant for Data Quality Tools” report. Gartner’s Magic Quadrants evaluate vendors within a particular technology market based on their completeness of vision and ability to execute. Use this Magic Quadrant to understand the data quality tools market.
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Applying Business Analytics Webinar Series - Got Bad Data? Part 2 by SAS Institute Inc.
April 09, 2010 - (Free Research)
Tune in to this Webinar to find out how data quality can improve business performance. You’ll learn how to improve key data areas by performing data quality profiling and data collection through closed-loop monitoring, and how to address data quality as a process to derive value and drive continuous improvement.
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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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Optimizing Data Quality in the Enterprise by Information Builders
August 01, 2012 - (Free Research)
It is estimated that 75% of large organisations currently face serious business challenges due to low quality data – and the consequences can be devastating. Access this paper to learn simple strategies that can substantially improve your company's data quality. Learn how to manage the lifecycle of quality data, and more.
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Implementing Real-Time Data Quality Management by Information Builders
August 01, 2012 - (Free Research)
Poor data quality can be harmful to your enterprise in more ways than one -- 53% of companies with poor data quality face serious problems when implementing new systems and applications and 29% experience income loss. Access this paper to discover how real-time data quality management can help mitigate these risks and give you peace of mind.
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Data Quality Management: The Key to Successful Predictive Analytics by Information Builders
August 01, 2012 - (Free Research)
As more and more companies begin to leverage predictive analytics to improve their business intelligence strategies, it's becoming evident that effective predictive models begin with data quality management. Read on to learn more about the impact data quality has on predictive analytics and how to easily improve your data quality.
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E-Book: Ensuring data quality throughout your Oracle Environment by Oracle Corporation
April 30, 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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A Powerful Combination: Data Governance, Data Quality and Master Data Management by Oracle Corporation
December 12, 2011 - (Free Research)
Improving data quality is a timeless strategy that can provide value on its own, or can be done as a first step towards something else, such as master data management (MDM). It can also be done in conjuction with MDM. This white paper explores three use cases of improving data quality.
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Embracing the Big Data Quality Perspective by CommVault Systems, Inc.
November 18, 2012 - (Free Research)
This e-guide provides expert advice advice on data quality concerns in the era of big data. With two conflicting ideologies on the best data strategies, it's hard to know which best suits your enterprise. Discover how to begin a formal, and successful, data governance program and which of the data quality philosophies best fits your organization.
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Top 10 Root Causes of Data Quality Problems by Talend
August 01, 2011 - (Free Research)
This white paper discusses the top ten root causes of data quality problems and suggests steps the business can implement to prevent them.
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Tactical Data Quality: How to improve data quality with a tight budget by Talend
March 24, 2011 - (Free Research)
In this e-book, you'll learn how to manage data quality efforts during an economic downturn and find out what trends are emerging in the data quality market. You’ll also learn about common mistakes, the financial costs of poor data quality and how data quality tools and strategies can improve data quality.
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The Unique Requirements of Product Data Quality by Silver Creek Systems
July 2008 - (Free Research)
TDWI explores traditional approaches to data quality, which focus on well structured data, and shows why these do not work with less structured product data. Read about Product Data's unique requirements and how to address them.
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Populating a Data Quality Scorecard with Relevant Metrics by SAS Institute Inc.
March 2013 - (Free Research)
In this white paper, discover the major considerations that should go into developing metrics for a data quality scorecard. See how ideas about data metrics might vary across internal departments, and may be reoriented according to concerns about business process, impact, and pure data considerations.
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SAP® BusinessObjects™ Data Services: One Product For Data Quality and Data Integration by SAP America, Inc.
June 2009 - (Free Research)
Introducing SAP® BusinessObjects™ Data Services breakthrough technology software for the enterprise information management market. The software unifies our leading data-quality and integration solutions - helping your organization to move, transform, and improve virtually any type of data anywhere, at any frequency.
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Pervasive Data Profiler v4 by Pervasive Integration
January 2008 - (Free Research)
Pervasive Data Profiler™ ensures data quality. Proactively audit all types of data; automate testing against changing business data quality needs and compliance regulations. Get hyper-fast, multithreaded processing of large data sets or sample data
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Building a Data Quality Scorecard for Operational Data Governance by DataFlux Corporation
June 2008 - (Free Research)
Operational data governance is the process of evaluating data to see if data effectively satisfies the organization's business needs. This is measured with a "data quality scorecard", a management tool for monitoring organizational performance.
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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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