Discover how to craft data-first CRM strategies and get tips about coordinating data sources for effective CRM, 5 ways to reduce risks for Salesforce deployments, and the pros and cons of current CRM software offerings.
This issue of the e-zine, IT in Europe: Data Management & BI Edition, is rife with info on everything from BI to analytics and beyond. The opening article discusses how European finance professionals are using BI and analytics to analyse trends and cut costs, the second is on predictive analytics and the third is on master data management.
This global CIO2CIO research program was conducted for SAP, Inc. to gain insight into information management practices in various regions of the world and the research was conducted among IT professionals in the U.S., Europe and Asia.
Master data management solutions helps organizations maximize the value of postmerger integrations, manage the product lifecycle, meet regulatory requirements and improve the effectiveness of transactional and reporting systems.
Learn how you can keep up with the times with master data management and data governance. This resource explains how MDM is a key foundation for trusted data and more efficient business processes. Read on to find out how to improve your master data.
Gartner, Inc. recently reported that IT megatrends such as social media, cloud computing and big data will have a significant impact on master data management (MDM) programs. Review this e-guide to gain insight from leading Gartner experts on how to adapt your MDM efforts to ensure success in light of today's emerging trends.
This white paper explains the key elements for building a proper, quantified business case. It presents the measures that are favored by corporate finance departments, and helps develop a strong business case for data quality and MDM projects. A number of real-life examples with quantifiable benefits are also included.
In this presentation transcript featuring best-selling author, Len Silverston, learn how to implement universal patterns for data modeling to improve management flexibility. Gain insight into various modeling choices to meet your organization's needs. Discover how to improve quality and reduce management costs by re-using patterns.