INFOGRAPHIC
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 .
• 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
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 . p
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