|
| |
1 - 25 of 479 | Next Page
|
Featured Sponsors
E-Guide: Implementing a CRM Strategy to improve the customer experience by SAP America, Inc.
June 12, 2012 - (Free Research)
This expert e-guide highlights the need for a unified customer information hub to improve the quality, consistency and availability of customer data by detailing how one cement manufacturer implemented a successful customer experience initiative. Gain insight into the findings of a recent survey of top CRM challenges faced by today's businesses.
|
SAP® BusinessObjects™ Data Services: One Product For Data Quality and Data Integration by SAP America, Inc.
June 02, 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.
|
Sales Intelligence: The Secret to Sales Nirvana by IBM
January 2009 - (Free Research)
Read this paper to learn about sales intelligence-- the external sources of information that a company uses to enhance sales force effectiveness. This Aberdeen Group report offers tips from best-in-class companies, including best practices related to data quality, sales force automation, and CRM solutions.
|
Hosted CRM Buyer's Guide by Inside CRM
December 2007 - (Free Research)
In the market for a CRM? This white paper outlines the general benefits and drawbacks of hosted vs. on-premise CRMs and lists the basic features to look for in your hosted solution. With an up-to-date overview of the CRM market...
|
Taking On-Demand CRM Integration to the Next Level by Oracle Corporation
September 2007 - (Free Research)
This white paper discusses customer data integration challenges facing businesses with mixed deployments and presents Oracle's vision and solution for comprehensive integration with Oracle's Siebel CRM On Demand.
|
A smarter approach to CRM: An IBM perspective by IBM
February 2012 - (Free Research)
With instant access to information, customers expect a purchase experience that matches the ease and speed of the information-gathering experience. Read this white paper, created in collaboration with Frost & Sullivan, to see how a customer relationship management (CRM) solution can help you respond on the customers' terms.
|
Data Quality Strategy: A Step-by-Step Approach by SAP America, Inc.
February 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.
|
DataFlux Positioned in Leaders Quadrant of the 2010 Magic Quadrant for Data Quality Tools by DataFlux Corporation
July 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.
|
Microsoft Dynamics® CRM for Healthcare by Microsoft
October 2011 - (Free Research)
In addition to providing quality care, health care facilities continuously search for ways to increase patient satisfaction and proactively manage their overall health.Inside this white paper, learn about CRM technologies that help meet these goals by supporting chronic disease management, business intelligence and more.
|
DaimlerChrysler: A Case Study in Enterprise Data Quality by Pitney Bowes Group 1 Software
May 2008 - (Free Research)
Group 1 Software presents a case study in enterprise data quality success featuring the DaimlerChrysler Corporation, a leader in the automotive manufacturing industry.
|
Data Quality and Identity Resolution by Informatica
May 2008 - (Free Research)
This paper describes how identity resolution complements and extends the application of data quality and data integration processes into business applications.
|
E-Book: Gaining Control of Order Management Processes by SAP America, Inc.
April 2012 - (Free Research)
This e-book, packed with four expert articles, highlights SAP's solution to sales order management, offering insight into its CRM, ERP and supply chain management components. Read these insightful articles now to learn about this option's strengths and weaknesses, how to properly define the sales process and so much more.
|
Solutions Provider Improves Productivity with Flexible Implementation Methodology by Microsoft
June 2007 - (Free Research)
Stanley Stuart Yoffee & Hendrix, Inc. (SSYH), a Microsoft® Gold Certified Partner based in Florida, implements software solutions utilizing the Microsoft family of products. With large-scale projects across varied industries, the company turned to the Microsoft Dynamics™ Sure Step Methodology to help communicate with customers...
|
Data Quality - The Foundation of Operational Effectiveness by Pitney Bowes Group 1 Software
April 2008 - (Free Research)
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...
|
The State of Data Quality Today: An Information Difference Research Study by Pitney Bowes Business Insight
August 2009 - (Free Research)
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.
|
Avoiding Data Quality Failure: Identifying Data Quality by Pitney Bowes Business Insight
March 2008 - (Free Research)
This presentation transcript features speaker Evan Levy, partner and co-founder of Baseline Consulting, a professional services firm concentrating on enterprise data issues. This discussion is about data quality and some of the challenges and pitfalls that are seen during data quality implementation.
|
|
|