Region: Global Research
Authors: Doug Laney, BARC Fellow
Organizations are seeking new and innovative ways to quantify and unlock the value within their data assets, data products, and AI-driven solutions. Despite the ever-increasing and critical importance of data, many companies struggle to measure and communicate its worth.
This BARC survey-based report will examine both the economic benefits and the cost considerations of data assets, focusing on how organizations can assess and optimize the value they derive from data. By measuring the cost-side of data—such as infrastructure, data management, compliance, and maintenance—alongside its revenue potential, organizations can create a clearer understanding of data as a legitimate asset that must be more formally managed and monetized for optimal return.
This publication will equip data and business executives to understand and better articulate value of their data-related assets along with their analytics and AI implementations. These insights will enable their organizations to make the investments needed to become more data-driven and thrive in the data economy.
Key Questions:
- What approach do organizations take to quantify the benefits of their data assets, data products and AI solutions?
- How do they measure the cost-side of data—from its collection to its management to its deployment?
- How would they execute differently from a business perspective if they valued their data like any other asset?
- How is technology helping reduce data-related costs and grow data’s contribution to business value?