Unleashing the Power of Generative AI for Data and Analytics
The potential use cases for GenAI are extensive. How are leaders applying this technology in their data and analytics (D&A) function today, and how do they plan to in the future?
One minute insights:
- Most respondents’ D&A functions are engaging with GenAI by adopting or considering use cases
- Top use cases already adopted are data exploration, code generation and document summarization
- Data narrative generation, conversational interfaces for analytics and data exploration could be valuable use cases for respondent D&A functions to adopt over the next 24 months
- Conversational interfaces for analytics, code generation and data exploration are considered the most feasible use cases for adoption in the next 24 months
- More than half of respondents consider skills gaps a main barrier to adoption in their D&A function
Most respondent D&A functions are in the early stages of GenAI adoption
Only 10% of respondents are not planning to explore or implement GenAI for their D&A function. 36% have conducted initial research and plan to implement their findings, and 40% are already using GenAI to some extent.
Among the respondents whose D&A functions are currently using GenAI in some capacity (n = 53), the most common applications are for data exploration (49%), code generation (43%) and document summarization (40%).
Question: What is the most significant impact you foresee GenAI having on your D&A function over the next 24 months?
I believe [GenAI] will allow us to make better use of the data that we currently have. We have too much data and that impedes meaningful analytics. It's also a drain on resources as well.
We are hoping it will help us unlock the secrets of our data as we have a lot of hypothesis but lack a clear way to test/prove them.
Data narrative generation among top most valuable use cases to adopt in the next 24 months
Among respondents whose D&A functions are considering or using GenAI (n = 119), the top-selected use cases considered most valuable to adopt in the next 24 months are data narrative generation (41%), conversational interfaces for analytics (39%) and data exploration (39%).
As for the GenAI use cases that would be most feasible for their D&A functions to adopt, 50% of respondents said conversational interfaces for analytics would be among their top three. Code generation (44%) and data exploration (44%) were also top use cases for feasibility.
Question: What is the most significant impact you foresee GenAI having on your D&A function over the next 24 months?
[I foresee GenAI] changing the way we explore our outlying datasets. Providing better visibility for data governance and management in a federated model.
GenAI has to be everywhere as soon as possible in any case, so the actual value might be diluted until the hype goes down.
Majority of respondents see skills gaps as a main barrier to adoption of GenAI in D&A
64% of respondents who are considering or using GenAI for D&A (n = 116) see skills gaps as one of the main barriers to adoption. More than one-third of respondents say unclear ROI (37%) or immature D&A ecosystems (35%) are among their main barriers.
Question: What is the most significant impact you foresee GenAI having on your D&A function over the next 24 months?
GenAI is rapidly coming and we have to be prepared. The biggest impact will be the disruption as GenAI displaces other technology and employees need to learn new skills to function in a GenAI environment.
The increased use of AI in D&A has raised some challenges related to bias, accountability and transparency. We are seeing an entire shift in processes that we used to do differently before.
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