642 words, 2.4 minutes read.

Master Data Management 1 big thing: Establish and maintain various data collection, record keeping, tracking, filing, and reporting systems.

The big picture: Make sure your design reviews and approve specification documents in Document Management system while attending meetings to invest in material readiness for projects.

Why it matters: Make sure your process assigns, monitors and reviews progress and accuracy of work, direct efforts and provide technical guidance on more complex issues.

Under the hood: Make sure your design is responsible for Liaison so that your group is conducting and participating in Solution Reviews (both internally and for partners).


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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Top thinkers are using The Art of Service Critical Capabilities Analysis, the guide that’s helping leaders stay ahead of what’s next.

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Meanwhile: Define and document features and communicate product requirements in ways that make sense in the context of an agile process (written, visual, direct conversation) in sufficient detail to allow developers to execute effectively.

State of play: Be certain that your staff is responsible for the development and management of a clearly defined Operational Model, inclusive of Intake Management, Business Production Support (root cause analysis, driving issue to resolution, prioritization and escalations), Enhancements, and Quality Controls and Reporting (audits).

How it works: Be sure your company is involved in security tools IPS, SIEM, Web Secure Gateway, Email Gateway, DLP, Firewalls (network and application), Malware Protection, MDM, Forensic Tools, etc.

What to watch: Facilitate/lead reviews (walkthroughs) of technical specifications and program code with other members of the technical team, communicating design, requirements, feature set, functionality and limitations of systems/applications to team and development lead.

Go deeper: Conduct source system analysis and data profiling for lifecycle management Define measurable metrics and the minimal required attributes for each domain or subject area to support a robust and successful deployment of a MDM platform.

On the flip side: Develop, document, implement and ensure compliance with data strategy, policies, procedures, controls, and programs to ensure enterprise data assets are accurate, complete, secure and reliable through a developed data life cycle, from creation to end of life in coordination with data owners and data stewards.

Between the lines: Safeguard that your group exercises discretionary decision making and judgment related to project coordination, trouble-shooting, and adherence to strict deadlines, maintaining project schedule, monitoring program progress, and communicates plans, status, and issues to management.

Be smart: Identify automation opportunities, upgrade vendor releases to the MDM infrastructure and (internal) clients, provide technical expertise, maintain knowledge base of resolutions, and escalate issues to third-party vendor.

The backdrop: Warrant that your design is responsible for leading Information Technology projects from conception to completion Facilitates with other department projects providing IT perspectives.

Yes, but: Act as liaison across key product information contributors, users, or support teams (Marketing, Channel Partners and Business SMEs, Corporate and/or Stores IT functions, Customer Service, outside agencies and operations teams) to ensure accuracy and consistency with priority to meet customer needs as well as project/business deadlines, goals and objectives.

The bottom line: Conduct business information modeling: Create and manage business information models in all the forms, including conceptual models, relational database designs, message models and others.

What’s next: Guarantee your group analyzes and identifies data sources, data redundancy, and implements processes to remediate data issues and/or data clean up efforts.

ICYMI: Identify areas for data quality improvements and help to resolve issues through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.


A MESSAGE FROM THE ART OF SERVICE

 

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