Master Data Management Funding & Buying Tips
Users, analysts and experts share insights into how to successfully scope, fund and procure Master Data Management solutions including MDM solution RFP guidance, feature checklists and buying tips.
Slide 10 of this powerhouse MDM presentation covers core MDM capabilities which Gartner suggests reviewing prior to evaluating MDM solutions including data model, information quality, integration and synchronization, performance and scalability, business services and technology base. A must read for organizations considering an MDM solution investment.
Master Data Management: What Best Practices Can Help You Succeed?
John Radcliffe, Gartner
An insightful interview with Gartner analyst John Radcliffe covering how to best position MDM to senior management to gain funding, approval and support. Highly recommended. From the Resource: "Instead of someone in IT trying to quantify the potential business of MDM and effectively being the owner of the quantification, get the business leader to quantify it. Once [a business leader] buys into [MDM] and gets enthusiastic about it, he becomes the person spreading the MDM gospel around the organization."
Selling Master Data Management Internally? Think Like a CEO, Gartner Advises
Hannah Smalltree, SearchDataManagement
This focused Resource offers three preparatory steps which are positioned as critical prior to the selection and purchase of a core master data management system. From the Resource: "In fact, readying the organization for MDM involves doing a little bit of homework, but recognizing the value of these preliminary tasks will simplify the process once the decision to move forward has been made. This homework consists of considering three different aspects of the application infrastructure and how they correspond to the use of data: 1) Documentation of business processes and mapping to application functionality, 2) Definition and use of common information concepts and their instantiations, and 3)Capability/maturity assessment of organizational data quality and governance."
Master Data Management Readiness
David Loshin, Knowledge Integrity
