Council Post: Jump Start Data Management Strategy with Minimum Viable Approach

Effective data delivery channels are essential for ensuring that data is relevant, accessible, and usable across the organization. By treating data as a valuable asset and establishing robust governance frameworks, businesses can maximize the utility of their data while maintaining compliance and security.
Small and mid-size organizations often face challenges in establishing a data management strategy that is both effective and relevant. This article will explore the fundamental aspects of data discovery, data ecosystem, data viewership, and data fitness, offering insights into how organizations can develop a focused data management strategy. Additionally, we will discuss the incremental value-added strategy necessary for achieving a data-driven organization, emphasizing the importance of senior management support. MVP Approach: Minimum Viable Data Strategy Understanding the ProblemBefore implementing a data strategy, it’s crucial to define the problem and outcome clearly: Is the goal to seize a business growth opportunity or mitigate risks? Addressing this will help tailor the data
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Vishal Patel
Vishal Patel is a Chief Data and Analytics Officer, Executive Managing Director at Webster Bank. With over 20 years of experience leading various data modernization programs and technology projects, he is skilled problem-solver committed to quality, negotiation, and persuasion and specializes in enterprise data and analytics management, cross-product data strategy, and development with the aim of implementing "Data as a Service" (DaaS) for Enterprise Data Product Platforms. His expertise also includes Master & Reference data strategy, enforcing data governance policies, standards, and establishing data quality management frameworks.
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