Secure that your organization provides tactical and strategic direction in the areas of business intelligence analytics, data mining and visualization and assessment of data quality and consistency across platforms, products and business areas.

More Uses of the Azure Information Protection Metadata Toolkit:

  • Warrant that your organization analyzes and work with business and technical staff to assess existing data access and processing patterns, and designs forward thinking data architectures to meet business and technical needs.
  • Perform extraction, transform, and load (ETL) tasks related to the different modalities and algorithms being applied.
  • Arrange that your organization oversees the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
  • Capture metrics and reports at the right granularity for reports and analysis to provide a big picture assessment of your organization of the analytics and data team.
  • Create charge back and cost management models to ensure the value of pay as you go model of the cloud data platform Build a DataOps platform to integrate functions that support rapid deployment and governance.
  • Develop a modern data integration strategy to handle disparate data types that are prevalent in modern data architectures.
  • Make sure that your organization assess and review new technology opportunities related to data management and impact on the enterprise data strategy and roadmap.
  • Manage work with database administrators to plan and implement capacity and resource expansion to ensure data scalability.
  • Ensure data protection and create back up plan to cater to the data needs of your organization in times of emergency or cyber attack Data Security.
  • Initiate: highly complex problem solving and critical thinking, and operating computers and applicable computer software.
  • Confirm your organization plans migration to new database management systems, helps map data to new data sources and ensures that migrations are appropriately tested and validated.
  • Make high impact, long term decisions around procurement and deployment of modern cloud data platform solutions (Data Lake, Data Warehousing, Data Governance, Data as a Service, Data Security).
  • Develop, test, and maintain high performance of your data systems to meet the requirements of the business and/clients while adhering to departmental standards.
  • Initiate: monitor regulatory guidelines compliance related guidance and emerging industry standards to determine impact on the enterprise data architecture.
  • Identify new kinds, types and sources of data to enable business innovation throughout your organization.
  • Ensure your organization develops data structures for data warehouses and data mart projects and initiatives; and supports data analytics and business intelligence systems.
  • Standardize: partner with other architects as a key interaction point for communication, evangelism, governance, and feedback into central architecture.
  • Provide version control of datasets to manage changes in artifacts essential for governance and iterative development.
  • Confirm your organization facilitates data governance, taxonomy development, internal client support, IP metadata research and implementation.
  • Manage work with business / product strategy in order to stay up to date with business / product direction in order to anticipate long lead time technology needs.
  • Audit: plan work to meet project deadlines, accommodate demands by development teams, set priorities and escalate issues appropriately.
  • Communicate complicated technology concepts in a manner that is understandable in terms of business impact so that business decisions can be made.
  • Collaborate with the chief information security officer and chief privacy officer to create policies and controls for the appropriate protection of information assets.
  • Be certain that your organization uses expertise to lead efforts to identify, evaluate, and use emerging technologies in the domain of data systems that meet feasibility, performance and governance.
  • Identify and communicate opportunities for improvement to aid in the overall enrichment of asset and metadata lifecycle.

 

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