Taking control of master data can be quite a difficult task. However, given the vast distribution, diversity, and dynamics of data in modern environments, master data management (MDM) has become a critical need. Access this analyst report to understand the potential of MDM for your business and learn how you can accelerate time-to-value.
Read this brief yet insightful paper now to learn about the basic components of information architecture, including master data management and data quality, and learn how Sybase can enable your company to integrate all of these aspects into a complete and holistic information architecture.
MDM has experienced a rise in popularity - with SAP planning to lead the market in master data synchronization to help customers achieve lower TCO in running SAP. Uncover SAP's multiple product approach to MDM as well as changes in SAP's MDM strategy and gain insight on how to design an MDM team for your SAP MDM implementation project.
The Total Data Quality Integration Toolkit is an affordable, full-featured enterprise data integration platform and rich development environment for creating and managing data assets that can be leveraged specifically for MDM applications. TDQ-IT leverages SSIS to provide a flexible, effective solution for data quality and MDM initiatives.
In this Spotlight Report, Research Director Philip Howard explains why data discovery is of fundamental importance to data integration, data quality, and many other projects ranging from business intelligence through master data management to data governance and data archival. Read on to learn more about the importance of data discovery.
This paper discusses challenges with trusted data in enterprises and recommends solutions through a data warehousing implementation scenario. The paper also discusses the capabilities of InfoSphere Foundation Tools and provides proof points through customer scenarios on the productivity, acceleration and risk reduction benefits.
This paper brings an in-depth look at the results of this survey and tries to clearly define and measure the state of data quality. Read this paper to learn what 193 respondents who completed the survey from all around the world had to say about the state of data quality.
In this expert e-guide, we explore how various CIOs have successfully architected efficient hybrid IT environments. Discover how they leveraged APIs to integrate legacy apps and processes, used master data management to move data between systems, and more.
If SQL Server 2008 R2's self-service business intelligence (BI) features made the release appealing to business users, then the data quality, analysis, and master data management capabilities that give IT more control over self-service BI in SQL Server 2012 will make this latest release attractive to DBAs. Read this expert e-guide to learn more.
