Gather, understand, and document enterprise data process requirements, functional requirements, and data quality requirements to establish trusted data sources and ensures the right controls are built around the creation and maintenance of master data through your organization.

More Uses of the Data Governance Toolkit:

  • Be accountable for collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for Data Governance.
  • Develop and operationalize predictive models to improve your operational procedures and financial forecasts, while gaining actionable insights into the business.
  • Make sure that your organization maintains key relationships with entity staff and IT to proactively identify continuous improvement opportunities for enhanced productivity and operational efficiencies.
  • Ensure you lead analysis projects; collaborating with sales, marketing, operations, and financial leadership to continuously evolve the business and drive value.
  • Manage government personnel to assess, develop and implement feasible and effective data management plans that balance strategic and operational needs.
  • Confirm your organization leads/facilitate Data Governance processes and develops relationships with key business partners to ensure data assets are effectively managed across business and research functions.
  • Supervise: actively measure compliance around price leakage / erosion, sap customer and pricing master Data Governance and accuracy around rebate and price discount accruals.
  • Promote Data Governance across your organization to democratize data as a corporate asset to data practitioners, upper management and executives.
  • Ensure you can distinguish between Master Data Management, Data Quality, Data Governance concepts, and Data Integration and the needs for each in a mature data environment.
  • Ensure you build and maintain KPI dashboards to disseminate information used by internal customers to measure/track results, identify and target sales opportunities, plan work activities, and drive business decisions.
  • Provide ongoing support to process owners/control owners and cross functional teams to ensure controls over key reports are designed and implemented effectively.
  • Orchestrate: conduct quality control checks to ensure accuracy of tasks/deliverables related to searches, review workflow, productions, processing and exports.
  • Evaluate: for continuous improvement of Data Governance standards and processes based upon leading practices, evolving industry trends, expanding operational capabilities etc.
  • Manage work with your BI analysts to apply business intelligence tools to provide dashboards to drive appropriate action and behavior, and measurement and accountability against key business initiatives.
  • Manage it security and Data Governance to ensure that your organizations data analytics and integration products are effectively secured and that risks are mitigated.
  • Ensure your organization provides direction, coaching, training, and mentorship for team members and colleagues, as appropriate, in alignment with the project, program, or organizational structure.
  • Ensure you build rapport and set up Data Governance with business area leads to understand the business problems and analytical needs enterprise wide by engaging and establishing positive relationships with numerous internal and external stakeholders to support organizational goals.
  • Be accountable for developing data analytics frameworks, policies, and processes that comply with your organizations Architecture and Data Governance best practices.
  • Ensure your organization partners with sales, pre sales, and marketing to communicate the value of subject product domain with emphasis on business impacts of the solution.
  • Be accountable for using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
  • Develop Data Governance, policies and procedures to ensure data integrity and compliance with corporate, SOX and other regulatory, audit and compliance standards and controls.
  • Contribute to a positive culture of continuous improvement and operational excellence by identifying and implementing process improvements where appropriate.
  • Pilot: key outcome of your analysis are the datasets you assemble, focusing on foresight, quality and maintainability are paramount to enable future re use.
  • Confirm your organization defines, develop, and delivers consistent information and data standards, methodologies, guidelines, best practice and approved modeling techniques on data/information management, data quality and Data Governance.
  • Manage work with Data Governance, legal, and compliance and business units to understand the regulatory environment and to assess its impact to your existing and new analytics capabilities.

 

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