Data Monetisation

Start treating data as an asset and gain the benefits from maximising its value.

Obtain economic benefit from data

Data monetisation refers to the process of using data to obtain quantifiable economic benefit.

Internal or indirect methods include using data to make measurable business performance improvements and inform decisions.

External or direct methods include data sharing to gain beneficial terms or conditions from business partners, information bartering, selling data outright (via a data broker or independently), or offering information products and services (for example, including information as a value-added component of an existing offering).

Orbit SVG_Data Maturity Model ENG phase4 illust

Indirect monetisation

  • Improving process performance or effectiveness
  • Generating cost-savings
  • Enabling smart decision-making
  • Using data for performance metrics and leading indicators
  • Risk mitigation
direct monetisation

Direct monetisation

  • Developing new products or markets
  • Data Sharing
  • Offering insights, analyses and reports (e.g., subscriptions) for new revenue
  • Selling raw data through brokers


indirect monetisation

Data and analytics must be driven by business outcomes

Too often corporate strategy is not supported by related data management initiatives and vice versa. Executives should evaluate their key business goals and strategic initiatives through the lens of how data can support them.

Once you understand the quality of data and have tied it to business strategy then you can put the right structures in place to monetise it.

Often this involves assembling a multi-disciplinary, cross-functional team – including information product leads, data management experts and executives from sales, marketing and operations – to create a platform for business innovation powered by the data.

business value driven