Your goal as a Data Provider is to maximize the trustworthiness and usage of data from applications / systems that are the Trusted Sources (Systems of Origin, Systems of Record and Authoritative Provisioning Point (APP)).

More Uses of the Data quality tools Toolkit:

  • Ensure you lead implementation of demonstrable controls to identify, document and resolve weaknesses in the Systems of Origin, Systems of Record and APPs.
  • Ensure you have helped an enterprise organization get the most out of Informatica MDM investment.
  • Identify: it sets forth the minimum requirements for the implementation of a consistent and controlled approach to create and use data as a critical corporate asset.
  • Confirm your organization develops technical specifications and project plans to ensure development activities proceed in accordance with project deliverables and time frames.
  • Ensure development and deployment proceeds in accordance with specifications and timeframes.
  • Head: collaboration with enterprise data management business analysts to spot patterns and issues in the data that require resolution.
  • Ensure you fully understand and appreciate that things need to be tested out and moved through a multi environment deployment process with engineering rigor.
  • Push forward with replace steer your efforts to utilize metadata management tools, Data quality tools, etc to operationalize and scale your data governance capabilities.
  • Navigate steer your efforts to utilize metadata management tools, Data quality tools, etc to operationalize and scale your data governance capabilities.
  • Audit: collaboration with the enterprise data engineering team for etl adjustments and data mapping.
  • Utilize data profiling and Data quality tools to uncover and determine root causes of data quality issue.
  • Use the web based administration console to create user accounts privileges for each user and also to create database connections.
  • Warrant that your organization understands complex etl and data migration practices and has performed multiple complex data migrations to sfdc.
  • Coordinate with data custodians, data stewards and other support teams regarding app operations, data quality in the app, data demand / consumption requirements, and open data quality exceptions / issues.
  • Orchestrate: review requirements and verify controls are in accordance with the trusted sources methodology, with support from data stewards and data custodians.
  • Analyze and organize the gathered information to understand and implement project requirements.
  • Oversee: effectively work with management, on site/off site development staff to accomplish sfdc project deliverables.
  • Configure business entities, transformations, and views to reflect data model edits and behavior.
  • Ensure critical data elements meet defined standards of Accuracy, Consistency, Integrity and Completeness through Data quality tools and processes.
  • Oversee provision of quality data from upstream data sources into the APP and from the APP to downstream consumers.
  • Be accountable for communicating technical information means translating business requirements into technical plans and translating technical terms into business requirements and actions.
  • Manage work with leads to transform and develop new requirements into designs, development approaches and implementation.
  • Write comprehensive design specifications (functional specifications and solution/technical design document).
  • Do research on product features, use cases, interviewing people about business requirements and creating specifications for projects.
  • Provide advice on best practices and approaches to technology teams and internal business clients.

 

Categories: Articles