CASE STUDY -
Group 1 Software presents a case study in enterprise data quality success featuring the DaimlerChrysler Corporation, a leader in the automotive manufacturing industry.
Posted: September 18, 2007 | Published: October 1, 2004
CASE STUDY -
Pitney Bowes Group 1 Software customer communication management (CCM) solutions allow Shenzhen Telecom to provide customized billing, while greatly enhancing operational efficiency and customer satisfaction.
Posted: July 1, 2008 | Published: July 1, 2008
PODCAST -
In this 20-minute podcast, appropriate for IT and business professionals, listeners will get a complete introduction to operational BI benefits and related technology concepts.
Posted: August 20, 2008 | Premiered: August 20, 2008
PODCAST -
This Podcast addresses some of the necessary details to successfully formulate an operational data quality plan.
Posted: March 14, 2008 | Premiered: March 13, 2008
PODCAST -
Listen to this educational podcast now to discover the essential capabilities needed to help speed cash flow, reduce customer service costs and churn, and stay connected to customers.
Posted: May 8, 2008 | Premiered: April 28, 2008
PODCAST -
Navin Sharma discusses the vision, strategy, design and practical aspects of developing a Master Data Management Roadmap.
Posted: September 3, 2008 | Premiered: September 3, 2008
TRANSCRIPT -
This whitepaper address how service providers can improve customer relationship management (CRM) by integrating it with other operations and business support systems (OSS/BSS). Learn more about CRM in the paper.
Posted: June 20, 2008 | Published: June 1, 2008
WEBCAST -
In this expert Webcast with Dave Loshin, president of Knowledge Integrity, learn how to assess the value of operational data quality and make data quality an enterprise-wide capability.
Posted: March 13, 2008 | Premiered: March 13, 2008
WEBCAST -
In this webcast, expert Jeffrey Paul Cotrupe will address how service providers can improve customer relationship management (CRM) by integrating it with other operations and business support systems (OSS/BSS).
Posted: May 16, 2008 | Premiered: May 20, 2008
WEBCAST -
In this Webcast, featured speaker Michael Czerniawski of
System's Evolution, Inc. (SEI), discusses data integration pitfalls and
will provide you the five keys to getting the information you need now.
Posted: May 13, 2008 | Premiered: May 1, 2008
WEBCAST -
Implementing master data management has many challenges -- especially when it comes to driving change in people, process and politics. Get expert best practices and practical advice.
Posted: September 3, 2008 | Premiered: September 3, 2008
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
WHITE PAPER -
This paper offers valuable insights and considerations for corporations and other organizations seeking to implement a Master Data Management strategy.
Posted: May 9, 2008 | Published: January 1, 2008
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
WHITE PAPER -
Group 1's Sagent Data Flow is likely to be particularly appealing to the mid-market, and for departmental solutions within larger organisations.
Posted: May 9, 2008 | Published: January 1, 2004
CASE STUDY -
Group 1 Software presents a case study in enterprise data quality success featuring the DaimlerChrysler Corporation, a leader in the automotive manufacturing industry.
PODCAST -
In this 20-minute podcast, appropriate for IT and business professionals, listeners will get a complete introduction to operational BI benefits and related technology concepts.
WEBCAST -
In this expert Webcast with Dave Loshin, president of Knowledge Integrity, learn how to assess the value of operational data quality and make data quality an enterprise-wide capability.
