The most recent report from Capgemini Research Institute’s data-powered enterprises series highlights the surge in organisations unlocking value from data for business and financial gains.
The report, Data-powered enterprises: The path to data mastery, is based on surveys of 500 data executives and 500 business executives. It found that two-thirds of executives say their organisation now leverages this data for new products or services.
In the UK, the findings revealed:
- Investment in analytics tools and platforms has increased from 64% in 2020 to 81% in 2024
- By harnessing activated data, the ability to introduce new products/services has increased from 58% in 2020 to 75% in 2024
- 60% of organisations have already implemented pilots or launched early proofs of concept (PoCs) of GenAI
- Two-thirds (66%) of organisations cite large-scale deployment of GenAI PoCs as a major challenge
- Organisations are already using GenAI in data management:
- 44% for synthetic data creation where using actual data is a challenge due to privacy concerns or confidentiality agreements
- 44% for augmenting and enriching data by adding additional features, attributes, or labels that improve the quality and usability of existing data sets
- 36% for analysing large amounts of data to uncover hidden patterns, relationships and anomalies in data
- 54% for improving cloud storage with smart deduplication
The report also found that while some challenges identified in the 2020 edition of the research persist, they have diminished, and new priorities – such as Generative AI – have emerged.
Data-powered enterprises
The path to data mastery also examines organisational readiness to incorporate Generative AI into their processes. Only 40% of data executives believe their organisations are mature enough on non-technical foundations (such as culture, ethical guardrails, governance mechanisms, legal and regulatory frameworks) to harness Generative AI.
In contrast, over half (56%) consider themselves mature on technical foundations (data, technology, infrastructure, and technical skills).
The path to becoming a data-powered enterprise has become more demanding as the range of data use cases continues to expand.
