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Master Data Management 1 big thing: Oversee technological execution of the recommended automation solution roadmap across project teams.
The big picture: Guarantee your company is asking the question, How is what you are doing today, enabling the success of your teammates and your (internal) clients.
Why it matters: Make sure your team is working across all phases of the agile and waterfall project delivery lifecycle for designing, developing, testing and implementing data analytics solutions for enterprise level (internal) clients.
Meanwhile: Certify your group develops business requirements and leads implementation of technology platforms related to data quality, metadata management, data catalog and integration (like APIs for lineage tracking).
What to watch: Ensure your r and d is focused on providing cutting edge products and solutions across digital transformations from cloud, ai/ml, iot, blockchain to MDM/pim, supply chain, erp, crm, hrms and integration solutions.
How it works: Manage data delivery project teams through all phases of the project lifecycle from scoping, planning, requirements gathering, design, development, testing and go live.
Be smart: Establish and monitor performance metrics and KPIs to Enterprise Data Strategy maturity and ensure ongoing strategic alignment with short and long term business objectives.
Between the lines: Lead projects end to end: identifying and structuring the problem, analyzing root causes, developing solutions, communicating project results, and getting buy in for change.
On the flip side: Define and lead the Master Data Management (MDM) strategy, develop and deliver key MDM capabilities, and provide guidance to MDM operation and its integration with other systems.
Under the hood: Be sure your design contributes strategic vision and serves as the top-level technical contributor and lead for the most complex data and analytics initiatives in an effort to align information technology solutions with business initiatives.
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:
Download the Top 10 Emerging Master Data Management Risks Infographic HERE: store.theartofservice.com/Master-Data-Management-critical-capabilities/
Top thinkers are using The Art of Service Critical Capabilities Analysis, the guide that’s helping leaders stay ahead of what’s next.
This guide will help you plan your roadmap. The Critical Capabilities and Priorities Guide enables leaders to shortlist hundreds of appropriate results, already prioritized.
What they’re saying: “Interface so that your staff is involved in data warehouse design and participated in at least 1 end to end data warehouse implementation.“, Charles N. – Economist
State of play: Be sure your staff ensures that associated information and data management performs effectively and efficiently, conceptually, logically and physically for the down stream applications.
The bottom line: Ensure you have exposure to tools used to support data management, specifically Master Data Management and metadata management, data profiling, and data quality.
What’s next: Invest in managing risk by using risk management practices to address execution challenges associated with quality, schedule and cost, in adherence with risk management framework.
ICYMI: Lead manufacturing cost improvement for all products, including feedback on estimated manufacturing costs for future programs, identification of focus areas for cost, and execution of identified initiatives.
A MESSAGE FROM THE ART OF SERVICE
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