Master data initiatives can be highly effective, but first have to overcome perceptions of being complex, expensive and with lengthy ROI gestation periods. Two years since MDM-in-a-Box revolutionized master data for the financial services industry, Cognizant has developed MDM-in-a-Box 2.0, an enhanced version with a number of accelerated solutions meeting specific use case requirements, delivering quicker business-value for various industries.

This session will cover MDM-in-a-Box solutions for the following industries amongst others

New solutions focused on various segments of the financial services industry Solutions for healthcare payers and HIE’s Solutions for retail and consumer goods industries

A series of successful implementations delivering incremental benefits to the business is the hallmark of a well conceived and properly executed MDM program. What separates the successful program from MDM initiatives that come up short? Strategy? Business Alignment? Architecture? Product Selection? Technical Skills? Quality Assurance? Capacity and Performance Planning? Governance? This session describes case studies of successful MDM implementations across industry against a framework for the journey highlighting best practices. Topics include: Framework for the MDM Program Journey Overview of Best Practices along the way Cases studies of large scale complex implementations, critical success factors and lessons learned

What is your system of record and where do you want to manage it? Data governance, MDM, and workflow are gaining momentum in every industry sector and are particularly important in today’s increasingly complex and harsh global business landscape. Despite many challenges, analyst firms have declared MDM to be “recession proof” as businesses strive to dramatically reduce costs, meet compliance reporting mandates, deliver increased operational, sales, marketing effectiveness, and provide superior service to consumers, customers and suppliers. Where and how does an enterprise implement hierarchies across multiple master data domains? How does the business reduce multiple cleansings and engage in point-of-consumption data cleansing? This session will focus on discussing such major issues central to managing “phase zero” for the preparation for MDM such as:

· Identifying the pain points for managing customer, product, and vendor masters in different data bases across the world

· Measuring the effectiveness of relationship management between product, customer, vendor etc.

· Architecting and deploying master data workflow and organizational structures

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