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Customer data integration (CDI) is the process of managing and maintaining customer information. CDI software works across every aspect of an organization to update contact information, consolidate records and purge duplicates – whilst all the time ensuring that customer data is protected – with the aim of enabling customer recognition at any point of contact.
Below is a set of white papers and case studies on the general best practices and benefits of CDI, as well as product specs and analyst reports on the latest software.
Company: Talend
Big data. Everyone's doing it - or so it seems. Should you be joining them? This report looks at the real-world barriers to big data and provides some pointers as to where to start in your trials of this potentially game-changing technology. VIEW SUMMARY
Category: Data Mining | Published: April 2013 | Type: White Paper
Rating:
+ 4
Company: Talend
The report brings readers up to date by discussing relatively recent (and ongoing) evolutions of DI that make it more agile, architected, collaborative, operational, real-time, and scalable. This report literally redefines data integration. Read the report to find out more. VIEW SUMMARY
Category: Data Integration | Published: April 2013 | Type: Analyst Report
Rating:
+ 3
Company: Talend
This white paper provides guidance around category selection including the NoSQL movement and requirements for success in this new ecosystem, not the least of which is to have robust data integration capabilities in all environments VIEW SUMMARY
Category: Data Integration | Published: April 2013 | Type: White Paper
Company: Talend
Integration of systems and data is high on the agenda of most organisations. For new applications, for new forms of reporting and analytics, for compliance reasons and for numerous others, IT systems have to work together. This whitepaper describes the importance of unification of integration. VIEW SUMMARY
Category: Systems Integration | Published: April 2013 | Type: White Paper
Company: Talend
This report highlights four key technologies that you need to understand in order to start and grow your big data program. It illustrates some of the key characteristics of big data solutions that are important for taking big data from sandbox to maturity. VIEW SUMMARY
Category: Master Data Management | Published: February 2013 | Type: Analyst Report
Rating:
+ 1
Company: Talend
The Big Data problem is not just about the growth in volume of business data, but also about the increasing number of data sources and data formats. Leaders can distinguished themselves through their support of data integration: a foundation of solid data management policies, tools and investment. VIEW SUMMARY
Category: Data Integration | Published: February 2013 | Type: Analyst Report
Company: IBM United Kingdom Limited
Customers. Data. Social media. Skills. This paper looks at how CMOs and CIOs should be working together for their mutual benefit and success of the enterprise and if they aren't doing this today, what can they should be doing differently. VIEW SUMMARY
Category: Statistical Data Analysis | Published: December 2012 | Type: White Paper
Rating:
+ 3
Company: Experian QAS
What is data driven marketing? Quite simply, Data Driven Marketing tells you what your customers want so you can make sure you give it to them. By harnessing the insights and information locked in your customer data, it removes the guesswork from your marketing campaigns. VIEW SUMMARY
Category: Customer Data Management | Published: November 2012 | Type: White Paper
Rating:
+ 1
Company: Experian QAS
This guide has been devised to help you build a data quality strategy to govern the management of contact information across your organisation. At the rear of this document you will find appendices which will help you build a case for committing to a data quality strategy. VIEW SUMMARY
Category: Data Quality | Published: November 2012 | Type: White Paper
Rating:
+ 6
Company: Acunu
Big Data is everywhere and it represents a huge opportunity to those who can use it effectively. But how do you know whether you have a Big Data problem? And if you do, how do you solve it? Read this paper to find out. VIEW SUMMARY
Category: Data Mining | Published: November 2012 | Type: White Paper
Rating:
+ 1
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As a member you receive free access to our constantly updated library of white papers, analyst reports, case studies, web seminars and solution reports.
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