565 words, 2.1 minutes read.
Master Data Management 1 big thing: Interpret technical drawings and specifications and implement system solutions that meet those documented requirements.
The big picture: Make sure your company is involved in projects relating to data management efforts including the implementation of a Enterprise Data Model, Operational Data Store, Metadata Repository and Master Data Management.
Why it matters: Work as a cross-functional partner with business units and supporting functions, advocates for appropriate use of data according to industry best-practices, and align data purchases and priorities clearly to business priorities into single source for commercial data.
What to watch: 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).
What we’re hearing: “Review historical sales trends, research and interpret demand drivers, understand market forces, prepare forecast data, develop and administer statistical forecast models, and evaluate forecast results.“, Luis S. – Manager, Master Data Management
Yes, but: Certify your group is collaborating with business and systems partners to turn project requirements into technical specifications to build custom-formatted, fit-for-purpose reports, data sets, data services and data interfaces.
The backdrop: Secure that your company defines roles and responsibilities related to the data organizations participation in various company initiatives and ensures clear accountability for execution of data responsibilities in these initiatives.
Meanwhile: Make sure your process is involved in defining, implementing and deploying Supply Chain solutions (process/business models, tools, management of change) across Supply Chain functions (Forecasting, Planning, Order Fulfillment, Procurement, Logistics, Master Data Management, source-to-pay) and across industries.
Go deeper: Ensure your solutions include analytics data platforms, MDM, data quality, metadata management, data governance tools and upcoming solutions to support the growing needs of your data landscape.
How it works: Guarantee your personnel is using your deep health, organization, and technology consulting involvement, your team strategically advises on design as well as implements and deploys solutions.
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.
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The bottom line: Ensure you are also need to provide technical counsel to other Data Engineers on the team and have to be requested to review and guide their work to ensure all the work comes together successfully to meet the business need.
What’s next: Create and maintain real time alerts and reports to drive early identification of issues or defects that might impact vendor partners so that the operations team can proactively address and resolve.
ICYMI: Update the daily updates/inputs for the marketing deliverables/timeline report that aligns due dates of materials and marketing projects scheduled for source creation, localization, and/or servicing.
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