Organisations at this stage are now at a level of maturity that they have integrated the usage of data into all areas of their business. They understand their internal data landscape as well as the external data marketplace and fully utilise both in their pursuit of operational efficiency and business growth.
Organisations at this stage are now at a level of maturity that they have integrated the usage of data into all areas of their business. They understand their internal data landscape as well as the external data marketplace and fully utilise both in their pursuit of operational efficiency and business growth.
For transformative organisations, business strategy and operational effectiveness are data driven. Data architecture is efficient within the business and aggregation layers are well understood. D ata lineage is maintained throughout the data lifecycle.
Data governance is streamlined and seen as an enabler that allows all functions to acquire, ingest and utilise broad sets of data from both internal and external sources.
Non-proprietary data is actively monetised across multiple distribution platforms. This monetisation is seen as a core revenue stream that strengthens the profitability and sustainability of the business.
Applying a partnership model ensures clients gain access to a range of world class data specialists and emerging technologies, to create customised solutions for unlocking additional value.
Identifying unique, obscure data connections to augment current data assets and accelerate a more valuable exchange between organisations.
Using a proven data transfer platform ensures a secure, controlled, compliant, and auditable flow of data between organisations.
A global network of suppliers and consumers of alternative data across multiple industries and regions.
While transformative companies are actively executing a data strategy, Alqami provides testing and appraisal services, while supporting internal teams in the acquisition of alternative data or the identification of unseen commercial opportunities.
Stage 4:
Ensure data is sourced and used as efficiently as possible
Review external monetisation approach and external data acquisition approach to maximise financial return both ways
Review of data estate to ensure all opportunities to monetise data have been identified and considered
Expose additional external data sources as well as external monetisation opportunities
Work with internal leadership team to make sure the data strategy is comprehensive and fully implemented across the organisation
Introduction to partners specialising in data science, machine learning and artificial intelligence to augment internal capabilities
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Alternatively, find out more about the other stages.