Struggling estimating the worth of your data?

You are not alone. While many companies recognise the importance of digitalisation, proactively monetising data remains a challenge for most. Before we start, what is data monetisation? It is more than just selling data. Data monetisation includes any way your data can create value for your business by:

  1. Improving efficiency;
  2. Enhancing decision-making;
  3. Creating new revenue streams.
For example, a logistics company using data to optimise delivery routes is not just saving time — it is monetising data by increasing efficiency and capacity.

Why use this tool?

We will make it easy for you. The benefits include:

  1. Providing a method to track and evaluate business improvements or modifications based on your strategies;
  2. Linking strategies to a management tool, providing a framework for organisations to translate vision and strategy into actionable objectives across multiple perspectives: the Balanced Scorecard (BSC);
  3. Improving and broadening the perspective of business strategies.

About the Tool

This website demonstrates the Analytic Process Network (ANP) and Analytic Hierarchy Process (AHP) methodologies tailored for the DATAMITE project. Essential information for using these tools is available under the "How to" tab. For more detail on the project, please visit the DATAMITE website.

Developed for the DATAMITE project, this tool evaluates key metrics and KPIs for data monetisation from a European perspective. Additional KPIs can also be incorporated. For more on the strategy, refer to the deliverables related to Work Package 4.

About ANP and AHP

In decision-making theory, the Analytic Hierarchy Process (AHP) is a method for organising and analysing complex decisions using mathematics and psychology. Developed by Thomas L. Saaty in the 1970s, and later enhanced with Ernest Forman's Expert Choice software in 1983, AHP quantifies decision criteria weights through pair-wise comparisons by experts. Respondents use a designed questionnaire to compare the importance of criteria pairs, helping to determine the best alternative. Within DATAMITE, AHP is combined with the Balanced Scorecard approach to define strategic KPIs, measuring strategies through specific perspectives. The Balanced Scorecard is a performance management tool tracking activity execution and monitoring outcomes, focusing on strategy or operational activity implementation by the management team.

For more information on ANP and AHP, interested users are encouraged to review this manuscript.