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Master Data Management 1 big thing: Participate in review of software development requests to understand potential impact to Master Data.

The big picture: Participate in the development of architectures, strategies, and policies around data governance, including master data management, metadata management, data quality and data profiling.

Why it matters: Participate in data integration, data profiling, data validation and data quality processes and resolve data mapping and data quality issues in partnership with QA and development teams.

What to watch: Remain current on emerging data technologies and principles and recommend enhancements to the enterprise data architecture and strategy to continuously drive enhanced business capabilities.

Go deeper: Support business performance improvement by participating on teams to assess, deploy, and enhance enterprise information management solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components.

Yes, but: Liaison so that your staff is involved in analytical data supporting Supply Chain, Inventory and Billing, Sales and Marketing, Demand Management, and Finance business units.

On the flip side: Warrant that your operation is responsible for data governance oversight of the integration of client and property master data; validate downstream impact and improvements being implemented to ensure that best practices are followed.

State of play: Develop and implement strategies to translate business requirements and models into feasible and acceptable data warehouse designs to ensure that business needs are met.

How it works: Warrant that your staff is consulting with internal and external (internal) clients to model enterprise wide complex data structures including master data management.

What we’re hearing: “Operationalize governance processes for creation/change of data, to define business rules, and to implement and improve data standards, quality, integrity, and consistency., Cheryl S. – Analyst Strategic Sourcing

Under the hood: Make certain that your strategy manages and analyzes data management, governance, and data quality of master data requirements to ensure functional master data integrity across the operation of financial systems is consistent and meets stated business rules and requirements.

Top 10 Master Data Management Must Haves


Master Data Management Executives tell us every quarter about their must haves.

Here are their most urgent ones:

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The backdrop: Make sure your group is responsible for keeping hardware systems current, including system firmware or critical updates Works with cloud-based systems and applications, including Office 365 Apps, Exchange, and MDM Provides escalated Help Desk assistance to employees regarding issues requiring research and problem solving.

Meanwhile: Identify, define, and manage Data Domains and Elements, including the business and technical definitions, metadata and source of truth, and ensuring its full inclusion in the Data Governance tools and workflows.

The bottom line: Ensure you co create the right size solutions by addressing the processes, controls, metrics, leadership and technology required to formally manage your organizations data assets.

What’s next: Warrant that your operation (internal) clients secure your expertise and data driven insights to evaluate business line performance and to make operational improvements and product development decisions.

ICYMI: Lead and manage all aspects of the customer Onboarding process including KPI definition, and process, infrastructure, and program evaluation to build a best-in-class onboarding involvement for (internal) customers.



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