The Gartner Knowledge & Analytics Summit in Orlando, Florida, just lately concluded after three intense days full of deep discussions and insightful revelations!
Within the present period, information and analytics (D&A) are essential in shaping our work processes. The Summit serves as a key assembly level for chief information analytics officers (CDAOs) and D&A leaders.
On the Summit, we surveyed over 600 information leaders to delve into their views and priorities for 2024. They shared their enthusiasm, visions for the way forward for D&A, methods for adopting Generative AI (GenAI), and far more. Right here’s a abstract of our findings.
Knowledge Governance is a Prime Precedence for 65% of Knowledge Leaders
Over 65% of knowledge leaders highlighted information governance as their major focus in 2024, adopted by information high quality (47%), AI (44%), self-service analytics (32%), and DataOps (19%).
This shift in direction of prioritizing governance and high quality may mirror the continuing challenges confronted in self-service fashions. Efficient governance promotes data-driven choices, enhances effectivity, and fosters belief via transparency.
Knowledge Leaders are Most Excited In regards to the Potentialities of Generative AI
A notable 54% of knowledge leaders expressed pleasure in regards to the prospects of generative AI for 2024. This enthusiasm is indicative of a broader pattern within the D&A group, the place the potential for generative AI to revolutionize enterprise fashions, improve buyer experiences, and drive innovation is turning into more and more acknowledged.
In addition they confirmed curiosity in information mesh and cloth (30%), lively metadata (25%), and information observability (24%), with information contracts gaining minimal pleasure (5%).
Delivering on the Promise of Generative AI
Whereas the keenness for generative AI is clear, the survey highlights a number of challenges that organizations face in harnessing their full potential. 47% of knowledge leaders are researching appropriate applied sciences and potential makes use of for generative AI.
The shortage of readability on enterprise impression suggests a necessity for extra concrete examples and success tales that display the worth generative AI can convey to totally different industries.
Solely 30% have initiated early proof-of-concept tasks to display the expertise’s potential, and a mere 14% are actively incorporating generative AI into manufacturing. About 7% indicated that generative AI utilization is at present banned of their organizations.
Figuring out Gaps in Generative AI Technique
Curiosity in generative AI is on the rise, however over 27% of knowledge leaders are nonetheless determining its enterprise impression. Round 20% lack the expert personnel for creating and deploying GenAI options, highlighting the necessity for coaching and inside functionality enhancement.
Moreover, 17% of leaders report insufficient or low-quality information, and over 13% lack the required expertise for GenAI tasks.
56% of Knowledge Leaders Increase Their Budgets in 2024
With 56% of knowledge leaders reporting a rise of their D&A budgets for 2024, there’s a clear indication of the rising significance positioned on information and analytics inside organizational methods.
Solely 8% of knowledge leaders reported price range cuts and 35% reported that they’re sustaining their price range ranges.
Solely 11% of Knowledge Leaders Join Staff ROI to Enterprise Outcomes
Our survey signifies that the majority respondents are within the preliminary phases of defining information workforce ROI, with over 50% missing a proper method to monitoring worth and ROI.
About 27% of knowledge leaders monitor operational KPIs (like request achievement charges, developer hours, or time to ticket decision).
In the meantime, solely 11% have established each quantitative and qualitative success metrics linked to enterprise outcomes, guaranteeing clear communication with stakeholders.
The findings underscore a big alternative for D&A capabilities to raised display their worth by connecting D&A efforts extra intently with strategic enterprise targets, guaranteeing that information initiatives drive tangible enterprise outcomes.
Conclusion
The insights from the Gartner Knowledge & Analytics Summit survey present a priceless snapshot of the present state and future path of the D&A area. As information and analytics leaders look to 2024 and past, the challenges and alternatives outlined within the survey supply a roadmap for navigating the complicated panorama of data-driven transformation.
Knowledge leaders are centered on tying D&A initiatives to enterprise outcomes, gaining traction with their D&A governance effort, and getting ready their group’s information for Gen AI use instances. All of those depend on a basis of activated metadata to boost collaboration between information producers and information shoppers. To be taught extra about how lively metadata unlocks these efforts, guide a demo.
Following up on this survey, we’re organizing a webinar titled Key Takeaways from the Gartner Knowledge and Analytics Summit 2024, hosted by Austin Kronz, Director of Knowledge Technique at Atlan (and former Gartner Analyst). If you happen to’re concerned about diving deeper and becoming a member of the dialogue, enroll right here.
