Unlocking Value in the TMT Industry with Data Products

Explore how strategic data products can enhance decision-making and operational efficiency, driving innovation and resilience in the TMT sector.

What are data products?
A data product is a collection of data assets that have been taken from raw to curated status, for a specific business purpose. Built for reuse and actively managed from definition through retirement by the owner, data products power solutions and dashboards with high fidelity, trusted insights. The more that a data product can be reused or monetized, the more it’s worth. Data products that can simply and reliably create value for a wide impact radius are the most prized of all.

The Technology, Media, and Telecommunications (TMT) sector is leading the charge in data product readiness, with a significant number of executives reporting advanced progress in development and utilization. This is a testament to the industry's strategic focus on leveraging data to drive insights, enhance productivity, and improve margins.

Despite the high return on investment (ROI) reported by 70 percent of TMT executives and the recognition of data products' importance by 62 percent of senior leadership, significant challenges remain.

One of the most pressing issues is the centralization of data product ownership within IT, which can create a disconnect between those managing the data and those using it to make critical business decisions. This ambiguity in data ownership can hinder the effective deployment of data products, making it imperative for organizations to foster a more collaborative approach.

Meet our team

Image of Adam Pollak
Adam Pollak
Partner, Global Head of Value Creation and U.S. Performance Transformation Leader, KPMG US
Image of Javier Rodriguez
Javier Rodriguez
Partner, Global Head of Strategy and Head of Strategy & Value Creation, KPMG Spain

To overcome these challenges and maximize the value of data products, our research highlights several actionable strategies.

1

Inventory your data assets and experts

2

Quantify the data value chain

3

Confirm data portfolio utility and prune where necessary

4

Shape behavior, self-service, and a marketplace mindset

5

Prioritize value measurement

Learn more about these five steps you can take to build high-value data products and increase competitive advantage by reading the full report.

Dive into our thinking:

Unlocking Value in the TMT Industry with Data Products

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