Unleashing the Power of Generative AI for Data and Analytics

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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:

  • Brain connections iconMost respondents’ D&A functions are engaging with GenAI by adopting or considering use cases
  • Connections circle iconTop use cases already adopted are data exploration, code generation and document summarization
  • Network screen computer dot iconData 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
  • Computer screen config settings iconConversational interfaces for analytics, code generation and data exploration are considered the most feasible use cases for adoption in the next 24 months
  • Barrier iconMore 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.

Which of the following best describes your data and analytics (D&A) function's engagement with generative AI (GenAI)?

graph D&A function's engagement with generative AI

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%).

How is your D&A function currently using GenAI? Select all that apply.

graph How is your D&A function currently using GenAI

Conversational interfaces for data professionals 36% | Productivity (e.g., generating to-do lists, meeting summaries, etc.) 34% | Data narrative generation (i.e., contextualized explanations of datasets) 32% | Synthetic data generation 19% | Personalized and interactive training for D&A 11% | I don’t know 0% | Other 0%

n = 53

Question shown only to respondents who answered “Experimented in isolated projects,” “Integrated into some processes,” or “Fully integrated across operations” to “Which of the following best describes your data and analytics (D&A) function's engagement with generative AI (GenAI)?”

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.

Director, software industry, 10,000+ employees

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.

C-suite, software industry, 1,000 - 5,000 employees

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%).

What use cases of GenAI in D&A would be most valuable for your organization to adopt in the next 24 months? Select up to three.

graph Use cases of GenAI

Conversational interfaces for data management 32% | Document summarization 26% | Documentation generation 21% | Synthetic data generation 21% | Personalized and interactive training for D&A 18% | I don’t know 0% | None 0% | Other 0%

n = 119

Question shown only to respondents who answered “Experimented in isolated projects,” “Integrated into some processes,” “Fully integrated across operations,” “Not currently exploring GenAI, but we plan to,” or “Conducted initial research, and plan to implement findings” to “Which of the following best describes your data and analytics (D&A) function's engagement with generative AI (GenAI)?”

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.

What use cases of GenAI would be the most feasible for your D&A function to adopt in the next 24 months? Select up to three.

graph gen ai use cases

Document summarization 36% | Conversational interfaces for data management 34% | Documentation generation 28% | Synthetic data generation 18% | Personalized and interactive training for D&A 13% | I don’t know 1% | None 0% | Other 0%

Question shown only to respondents who answered “Experimented in isolated projects,” “Integrated into some processes,” “Fully integrated across operations,” “Not currently exploring GenAI, but we plan to,” or “Conducted initial research, and plan to implement findings” to “Which of the following best describes your data and analytics (D&A) function's engagement with generative AI (GenAI)?”

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.

C-suite, transportation industry, 10,000+ employees

GenAI has to be everywhere as soon as possible in any case, so the actual value might be diluted until the hype goes down.

Director, biotech industry, 1,000 - 5,000 employees

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.

What do you see as the main barriers to GenAI adoption for D&A at your organization? Select up to three.

graph Main barriers for gen ai adoption

Poor data quality 26% | Complex D&A ecosystem 25% | Regulation and compliance concerns 20% | Ethical concerns 18% | End-user skepticism (i.e., lack of trust) 15% | Governance challenges 12% | Lack of viable use case 8% | Lack of executive interest 8% | Other* 1% | I don’t know 0% | None 0%

n = 119

*Other: Skilled resources for implementation

Question shown only to respondents who answered “Experimented in isolated projects,” “Integrated into some processes,” “Fully integrated across operations,” “Not currently exploring GenAI, but we plan to,” or “Conducted initial research, and plan to implement findings” to “Which of the following best describes your data and analytics (D&A) function's engagement with generative AI (GenAI)?”

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.

Director, educational services industry, 1,000 - 5,000 employees

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.

Director, software industry, 10,000+ employees
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Respondent Breakdown

Respondent breakdown

Respondents: 132 IT and data and analytics leaders with knowledge about GenAI applications to D&A who own or collaborate on their organization's D&A strategy