Your existing data estate is now understood and generally well mapped. Although, the path to aggregation to create more meaningful insights and value may not be straight forward.
At this stage, senior management is keenly aware of the value that data can add. The business is actively looking for ways to use data to help make better decisions and power revenue generation. Policies and procedures cover completeness, consistency, provenance and permissioned use. However, it is possible that they are not fully implemented across the organisation, potentially impeding operations and efficiency.
Your existing data estate is now understood and generally well mapped. Although, the path to aggregation to create more meaningful insights and value may not be straight forward.
At this stage, senior management is keenly aware of the value that data can
add. The business is actively looking for ways to use data to help make better decisions and power revenue generation. Policies and procedures cover completeness, consistency, provenance and permissioned use. However, it is possible that they are not fully implemented across the organisation, potentially impeding operations and efficiency.
Internal data is used to generate insights but rarely, if ever, monetised. In the instances that data is monetised, it is usually a one-off, opportunistic project and not broadly sponsored. This is usually because while the overall potential value is understood, there is no commercial framework to support external monetisation.
Although external data is used, there may not be a single point of entry or sole ownership for the acquisition process. This may lead to fragmented and duplicated use of data.
Data acquisition can be time-consuming, requiring multiple levels of sign-off. However, you do see external data being used to leverage value.
For scaling companies, we provide third-party, impartial analysis of data estates, systems and processes with a focus on aiding scale and growth through the development of acquisition or monetisation strategies.
Stage 3:
Review of sources and uses of data, as well as the scope of usage
Outline areas that additional data might be of benefit from a revenue or cost perspective
Market mapping of potential external sources to license the required data, including negotiating licensing agreements
Working with business and technology leadership to identify potential data to be monetised and the value that could be derived from such monetisation
Testing the market to ensure that sufficient market appetite exists to license the data
Agreement of what order various distribution platforms and direct to client opportunities will be pursued
Get in contact to discover how Alqami can help
you realise hidden potential
and to enable the next stage of your
journey.
Alternatively, find out more about the other stages.