Now is the time to leverage the powerful combination of MDM and Data Governance to gain competitive advantage!
Background Chairman's Introduction Speakers & Sessions Summit Partners
The MDM SUMMIT series has been the foremost gathering of information and data management professionals around the world for the past six years. The 2012 event builds on this wealth of experience to deliver true value to help you master your Master Data. Here's what you will learn:
✔ Discover how to increase your company’s ability to drive growth, minimise risk and dramatically improve performance
✔ Understand the key decisions and tasks required for you to get started with one or more of these scenarios in your own organisation – customer data integration (CDI), product information management (PIM), or Data Governance
✔ Recognise what is driving business interest in MDM, DQ, CDI, PIM, and Data Governance solutions
✔ Establish what are the better architectures and vendors … and how these solutions differ from data warehouse and CRM initiatives
✔ Learn how the market and key technologies evolve … and who the leading vendors will be
✔ Confirm how an IT organisation gets started … and how IT sells MDM to the business
✔ Create an action plan to establish an effective Data Governance programme
✔ Determine the most successful best practices for creating a "single customer view” … and how to decide to build, buy, or extend an MDM solution
✔ Add 350+ MDM experts to your professional social network and increase your personal net worth to your enterprise
This is your “all-in-one best chance” to hear from real-life end users, industry experts, and seasoned MDM professionals … and learn about the latest field experiences regarding leading MDM solutions from the world's leading companies.
Benefits of attending the MDM & Data Governance Asia Pacific SUMMIT & EXHIBITION 2012
♦ Dramatically increase your company's ROI on existing CRM initiatives, as well as deploy competitive differentiating technologies to dramatically increase customer service levels, reduce operational costs and increase marketing effectiveness
♦ Accelerate your time-to-ROI regarding MDM, CDI, PIM, and data governance. Meet with other serious evaluators of master data solutions – both early adopters (speakers and attendees) as well as IT professionals at the same stage in the product evaluation lifecycle as you are.
♦ Learn how early adopters prioritized their MDM infrastructure build-out – also hear how they used various ROI methods to justify these enterprise-wide projects
♦ Gauge the impact of key MDM trends relative to key business trends in mergers & acquisitions, strategic sourcing, and more
♦ Perform due diligence on all the major components of an enterprise master data solution. Save yourself the lengthy process of vetting vendor references by networking with those-already-in-the-know.
♦ Learn the pros and cons of mega vendor MDM (specifically IBM MDM Server, Microsoft MDM, Oracle Fusion MDM, SAP NetWeaver MDM, and Teradata) vs. best-of-breed solutions such as DataFlux, Human Inference, Initiate Systems, Kalido, Siperian, and Tibco
♦ Ascertain the advantages and tradeoffs concerning off-the-shelf commercial solutions relative to IT custom-built frameworks utilizing enterprise application integration (EAI), enterprise information integration (EII), and extract/transform/load (ETL) middleware tools
♦ Learn a step-by-step checklist for MDM product evaluation that will save you time and help you avoid the most commonly made mistakes
♦ Accelerated Level-Playing Field Environment – Meet with and compare all the major MDM solutions providers.
♦ Real-Time, In-Person Reference Checking – Meet real live users of all the major MDM solutions rather than spending weeks playing telephone tag with “showcase” references
♦ Just-in-Time Vendor Liaison – Make personal connections with all the product managers of the major MDM solutions; listen to your compatriots politely cross-examine these same professionals on the expo floor.
QUOTES ABOUT MASTER DATA MANAGEMENT
"MDM's time has come. For years, enterprises have been product-driven businesses. Now, the shift is under way to become more customer-centric, and that's going to require MDM. "
Ranjay Gulati, Distinguished Professor of Strategy and Organisations, The Kellogg School of Management at Northwestern University
"Through MDM, organisations achieve consistency, accuracy, integrity and semantic consistency of master data assets in support of key business and IT initiatives, such as successful migration toward an SOA environment. Enterprises must understand that master data can help break down operational silos, but that successful MDM programs start with organisational commitment and shared accountabilities in the context of an overall EIM strategy."
Andrew White & John Radcliffe, Gartner
"CRM is a subspecies of master data management (MDM). You can't have much confidence in customer data if it hasn't been cleansed, consolidated, and controlled in your company's official record-keeping system. Customer data is almost never used in isolation from other business records. Rather, customer information is often linked, commingled, and cross-referenced to many other types of business data, such as product profiles, account and billing information, and supply chain and inventory data. This raises the real possibility that data quality (DQ) problems in other data sets will essentially contaminate your official customer records by association, muddying the single version of truth that you rely on for CRM."
James Kobielus, Forrester Research
"The prime reason for MDM's emerging popularity, and the principal failure of data quality strategies and solutions to date, has been the development and deployment of enterprise applications that have remained siloed. Enterprise applications -- whether it's ERP, CRM, or SCM -- they've all become silos of information within the enterprise. As a result, the data has been duplicated over and over again."
Andrew White, Gartner
"MDM is as much about business and data rules as it is about the data itself."
Evan Levy, Baseline Consulting
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