customer data integration

and increase the value of individual customers. This white paper covers the necessity of a customer data integration program. Accurate, complete and consistent customer information is essential to business success. It provides customer insight, informs decisions, enables customer intimacy and drives strategy. Managed effectively, this information

and ultimately growing revenue. Furthermore, lacking a single view of the customer through a customer data integration (CDI) initiative or a master data management (MDM) system enables organizations to lack a realistic way of applying vital data quality tools enterprise-wide. At the same time, companies are turning from traditional batch-oriented techniques

to communicate with other back-end systems. This paper examines an alternative approach to CRM integration, Desktop Integration, and explores the advantages desktop integration has over more traditional approaches. As Customer Relationship Management (CRM) software continues to increase in popularity, the challenge to integrate these

View this webcast and explore different flavors of operational data integration architecture, from a simple data replication model to the most advanced enterprise data exchange infrastructure. In a world where the digital economy and globalization has changed the way businesses operate, data integration has become

Check out this short demo to learn how integrating customer relationship management (CRM) solutions can enhance your company's customer interaction and service across multiple company divisions. This prebuilt integration creates a single customer view across both On Premise and On Demand CRM

low-latency, often real-time data from operational sources. The IT group must evaluate a range of data integration approaches (ETL or batch technologies, EAI/messaging, and change data capture/CDC techniques) and determine what solution or combination will best deliver "fresher data" with minimal impact to IT systems.

Read this white paper to learn how to

This paper describes the relationship between desktop integration and customer experience, the business benefits of building a logically integrated structure, and the best architecture for achieving the maximum benefits. It examines two successful implementations where desktop application

This white paper discusses the importance of data integration and help you identify the key challenges of integrating data. It also provides you with an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. To make sound decisions and

time data warehousing solutions they implemented to enhance business intelligence, protect customer data, and enhance business reporting. Read these case studies to learn how GoldenGate software contributes to efficient organizational improvements. Real-Time Data Warehousing drives significant Business Intelligence improvements by

new and profitable locations for their coin conversion machines. They turned to SPSS Inc.'s data integration and analysis capabilities with various demographic and geography-based variables. Read this case study for more details. Coinstar, a coin conversion company, needed to identify new and profitable locations for their coin conversion

business decisions. This data is available through best practices in custom data analysis, data integration, and reporting

Studio to review and compare multiple data sources simultaneously through data quality and data integration workflows. Although decision-making was decentralized throughout the company, the bank's corporate headquarters still needed to create credit risk management reports that would allow those local decisions to be consistent with

Mentor Graphics needed a way to improve the quality of its customer data and efficiently utilize this information to better target leads. This case study details how Group 1 developed a customer data solution that provided flexibility and control in determining how to link or merge duplicate customer

customer relationships, and how implementing a multi-phase process can help feed cleaner customer data into enterprise solutions to maximize return on investment. Customer data, and the quality of that data, is a company's most important asset. With every interaction, customers are providing critical information. And with rising costs, it's

for organizations to look inward to improve efficiencies through improved master data -- be it customer or product data. The current economic downturn, while dangerous and uncertain, can also be viewed as an opportunity for organizations to look inward to improve efficiencies through improved master data -- be it customer or

This Podcast explores the key functional requirements for B2B integration and available implementation options for Oracle E-Business Suite. Companies that use Oracle E-Business Suite face a wide range of Business-to-Business (B2B) integration needs -- including EDI and non-EDI cases -- but the trade-offs inherent in

Customer data mining and predictive analytics helps achieve customer innovation, strengthen brand and lift sales. Gain further customer insight with four attributes of a predictive enterprise so you can start putting customer innovation to work

is more important than ever. However, many businesses don't know how to take full advantage of the customer data they already have.

This free webcast will show you how to use the data you are already capturing through your feedback programs, as well as data generated through online conversations, to help you gain more value from every customer

Are you aware your people, your customer relationships and your corporate data provide far greater value and competitive advantage than traditional assets such as stock portfolio or desktop printers? This white paper explains how executives are turning their eyes toward

within other applications to remain competitive. Group 1 has done this by re-architecting its Customer Data Quality Platform product into bite-sized pieces which can be called via web services. For a data quality vendor to beat an independent path it needs to be capable of playing within a bigger canvas. Short of being acquired, the best way of doing

Price. Ultimately, it is about maximizing the level of understanding that can be achieved with customer data. Today, businesses must be prepared to merge all kinds of data: structured and unstructured, quantitative and qualitative, information around transactions, customer attitudes, preferences and expectations in order to acquire, retain and

To overcome the challenges of increased customer data, American Airlines deployed SPSS for Windows to replace its mainframe based analytics system, increasing productivity of its customer research team and improving decision making while reducing ongoing costs. In the intensively

Customer knowledge is market advantage. To refine its edge and better manage customer relationships, Haworth needed to learn what was important to its customers and deploy that knowledge to key decision makers. Read how they did it. Customer

subscriber revenue. Globo.com, one of Brazil's largest ISPs, adopted a strategy to improve its customer service with the goal of converting portal visitors into new customers and reducing its subscriber churn rate. As part of this strategy, customer service representatives needed better insight into what individual customers wanted in an

Read this E-Guide and discover a cost-effective data integration platform as well as key data integration considerations for ensuring a successful business intelligence (BI) initiative. Learn to provide faster integration of incoming data files, better data quality, and improved customer service with