Integration & IT Modernization

5 key roles of Data Architect in Information Management

Data Architecture

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As architects, sometimes we get caught in the trap of focusing on the most tangible aspects of our architecture solving business problems, while losing track of the aspects that truly drive our architectural decisions. Information architecture serves as that vital bridge from the business applications to technology architecture (TOGAF Architecture Development Method). Although solutions are built to transform data to meaningful information, data is the underlying glue that connects people, process, and technology. A well-built data architecture should handle the underlying principles:

  • Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state
  • Map to information entities that can define how information should flow and be consumed by various business and IT customers
  • Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements
  • Support operational use of data for business process functions such as customer centricity, supply chain, product positioning, sales efficiency, and other domain centric functions
  • Document data inventory and data flow diagrams to determine what can be measured, when and how

 

About the Author

Arvind Murali is the Chief Data Strategist for Data Governance with Perficient. His role includes defining data strategy and governance to deliver transformative data platforms. Arvind has served as an executive advisor for data strategy and governance to organizations across several industries. Arvind’s dedication to solving challenges and identifying new opportunities has provided valuable business-focused results for clients, such as providing self-service access to data for global sales teams; helping physicians create informed wellness plans; and delivering insights about current supply chain inventories. He is a passionate Vlogger on YouTube and discusses real-world insights, data platform trends, and the importance of governance as big data continues its exponential growth.

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