Key findings
Cloud Adoption Accelerating
A significant majority (96%) of respondents have migrated at least half of their business systems to the cloud. Specifically, 59% have migrated between 51% and 75% of their systems, while 37% have migrated between 76% and 90%.
AI Transforming Data Analytics
Organisations are increasingly turning to artificial intelligence (AI), with 52% using it for data quality checks of inbound information and 38% for regulatory compliance.
Challenges in AI Implementation
The top challenges associated with data-led AI solutions are integration with existing systems (56%), data input completeness and variety (54%), and data input accuracy (50%).
Rising Demand for Data Analytics Talent
A massive 86% of respondents reported an increase in demand for data analytics talent, with 44% noting a significant increase and 42% a moderate increase.
Critical Data Skills Gaps
The most critical data skills lacking in organisations are business acumen (36%), cloud computing (31%), and data science and ethical data handling (both 26%).
Of respondents say integration with existing systems is their biggest challenge when using data-led AI solutions
"We first must address the persistent problem of data quality and accessibility along with organising and cataloguing structured, semi and unstructured data assets. Then we can address the use of AI for decision intelligence and opinion generation, but only then will GenAI have a chance of being trustworthy."
Lawrence Freeman, Director of Next Generation Tech, Kubrick Group
