In today's data-driven world, developing a data strategy roadmap is essential for any business looking to leverage the power of data to drive growth and innovation. A data strategy roadmap outlines the steps a company needs to take to harness the full potential of its data assets. In this article, we will explore some of the common questions, challenges, best practices, and thought leaders in data strategy roadmap development.

Data Strategy Roadmap Challenges

Developing a data strategy roadmap can be challenging. Here are some of the common challenges:

  • Lack of executive sponsorship and support for data strategy roadmap initiatives
  • Siloed data and analytics functions that hinder collaboration and data sharing
  • Lack of data literacy and skills within the organization
  • Limited resources and funding for data strategy roadmap initiatives
  • Data quality issues that impede accurate and reliable data analysis
  • Data Strategy Roadmap Best Practices

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Digital Maturity Model Graphic
Digital Maturity Model Graphic

Best Practices for developing a data strategy roadmap

  • Start with a clear understanding of the business objectives and goals the data strategy roadmap will support
  • Conduct a comprehensive assessment of current data capabilities and identify gaps and opportunities for improvement
  • Establish a data governance framework that includes policies, procedures, and roles and responsibilities for managing data quality, privacy, and security
  • Invest in building data literacy and skills across the organization
  • Leverage agile methodologies to develop and implement data strategy roadmap initiatives in an iterative and incremental manner.

Reading List for Learning More about Data Strategy

There are several resources available to learn more about developing a data strategy roadmap. Here are some books to read and authors to follow:

Alternatives to a Data Strategy Roadmap

While a data strategy roadmap is essential for organizations looking to leverage data to drive business growth, there are alternative approaches to consider, including:

  • Data governance framework: A data governance framework defines the policies, procedures, and roles and responsibilities for managing data across the organization.
  • Data analytics strategy: A data analytics strategy focuses on developing an approach to collecting, analyzing, and using data to drive business insights and decisions.
  • Digital transformation strategy: A digital transformation strategy focuses on leveraging technology to transform business processes, operations, and customer experiences.

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About the Author

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Vinny Maurici

VP of Data Engineering

As Vice President of Data Engineering, Vinny is accountable for the growth, success and thought leadership of the Data Management business at Object Edge. He brings 15+ years of master data, merchandising, and governance experience; and has launched several successful enterprise and Fortune 500 global product data programs in B2B Manufacturing and Distribution, Retail, and Food Services.

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