We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.

Today, the CDI market has attracted several technology vendors from areas like ERP, CRM, data quality, and master data management. Unfortunately, while there is consensus that a CDI hub is critical for tying distributed customer data into unified views, there is rampant confusion on how best to implement such a hub. Currently, there are four “styles” of CDI implementations and before committing to a specific CDI style, organizations need to consider the fundamental business purpose of their current/future CDI hub.

Before committing to a specific CDI style, organizations need to consider the fundamental business purpose of their current/future CDI hub, including: frequency of business change, scope/latency of unified views, legacy IT environment, operational versus analytical applications need, types of data sources and data governance policies. Beyond these characteristics, an organization should choose a CDI style that is future-proof, i.e., it can adapt to merger & acquisitions, re-organizations and other systemic organizational changes. This involves four critical factors. First, the CDI hub architecture must adapt easily to changes over time, such as adding new business processes, data sources and applications. Second, it must allow for ongoing data stewardship/governance by both business and IT teams. Third, it must be an extensible IT platform in order to build new data views and services. Finally, it should be able to deliver these views in multiple modes – real-time and batch – to other systems at the performance and scaling requirements of the business.

The Four CDI Styles

Today, there are four different CDI styles which include:

  1. Custom-built data hub
  2. Fixed transaction hub
  3. Match & link cross-reference hub
  4. Adaptive transaction hub

Custom-Built Data Hub

This style reflects the historical way of building customer hubs using software tools and custom-coded rules. Building such a hub requires the use of an Extract-Transform-Load (ETL) tool to bring data into the hub’s data model from multiple sources and Data Quality (DQ) tools to cleanse & match similar records within the hub. These matched records are then merged based on simple, custom-coded rules, which generally results in the system choosing one record over another. Typically, ongoing code development is needed to integrate this custom hub to downstream systems, to make changes to match & merge rules and to add new data sources.


1  2  3  

   Next Page

Explore Our Topics

  • Virtual Conferences
  • Webinars
  • Roundtables

BPM in Action

March 10, 2011

The sixth annual BPM in Action 2011 Virtual Conference will explore cutting-edge market developments in BPM and describe how to leverage them for improved business operation and performance. More

View All Virtual Conferences

Smart Case Management: Why It's So Smart.

Date:Nov 05, 2009
Time:12:00 PM ET- (17:00 GMT)


Date:Oct 29, 2009
Time:15:00 PM ET- (19:00 GMT)

View All Roundtables
  • Research Library
  • Podcasts
  • News

Joe McKendrick: Part II of II: Designing Evolve-ability into SOA and IT Systems

In part two of Joe McKendrick's recent podcast with Miko Matsumura, chief strategist for Software AG, they talk about how SOA and IT systems need to change and grow and adapt with the organization around it.

Listen Now

Phil Wainewright: Helping Brands Engage with Social Media

Phil Wainewright interviews David Vap, VP of products at RightNow Technologies, and finds out how sharing best practices can help businesses understand how best to engage with online communities.

Listen Now

Peter Schooff: Making Every IT Dollar Result in a Desired Business Outcome: Scott Hebner of IBM Rati

Scott Hebner, Vice President of Marketing and Strategy for IBM Rational, discusses a topic on the top of every company's mind today: getting the most from IT investments.

Listen Now

Jessica Ann Mola: Where Will BI Fit In? Lyndsay Wise Explains

In BI, this tough economy and the increasing role of Web 2.0 and MDM are certainly topics on people's minds today. WiseAnalytics' Lyndsay Wise addresses each of them in this informative podcast.

Listen Now

Dennis Byron: Talking with...Deepak Singh of BPM Provider Adeptia

Deepak Singh, President and CTO of Adeptia, joins ebizQ's Dennis Byron in a podcast that gets its hand around the trend of industry-specific BPM.

Listen Now
More Podcasts
  • Most Popular
  • Quick Guide
  • Most Discussed

Quick Guide: What is BPM?

Learn More

Quick Guide: What is Event Processing?

Smart event processing can help your company run smarter and faster. This comprehensive guide helps you research the basics of complex event processing (CEP) and learn how to get started on the right foot with your CEP project using EDA, RFID, SOA, SCADA and other relevant technologies. Learn More

Quick Guide: What is Enterprise 2.0?

A lot of people are talking about Enterprise 2.0 as being the business application of Web 2.0 technology. However, there's still some debate on exactly what this technology entails, how it applies to today's business models, and which components bring true value. Some use the term Enterprise 2.0 exclusively to describe the use of social networking technologies in the enterprise, while others use it to describe a web economy platform, or the technological framework behind such a platform. Still others say that Enterprise 2.0 is all of these things. Learn More