The Gartner Knowledge & Analytics Summit in Orlando, Florida, lately concluded after three intense days crammed with 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 rather more. Right here’s a abstract of our findings.
Knowledge Governance is a High Precedence for 65% of Knowledge Leaders
Over 65% of knowledge leaders highlighted information governance as their primary focus in 2024, adopted by information high quality (47%), AI (44%), self-service analytics (32%), and DataOps (19%).
This shift in the direction of prioritizing governance and high quality might replicate the continuing challenges confronted in self-service fashions. Efficient governance promotes data-driven selections, enhances effectivity, and fosters belief by way of 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 development 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 obvious, 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 dearth of readability on enterprise affect suggests a necessity for extra concrete examples and success tales that show the worth generative AI can deliver to totally different industries.
Solely 30% have initiated early proof-of-concept tasks to show the expertise’s potential, and a mere 14% are actively incorporating generative AI into manufacturing. About 7% indicated that generative AI utilization is presently 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 affect. Round 20% lack the expert personnel for growing 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 mandatory expertise for GenAI tasks.
56% of Knowledge Leaders Enhance 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 finances cuts and 35% reported that they’re sustaining their finances ranges.
Solely 11% of Knowledge Leaders Join Workforce ROI to Enterprise Outcomes
Our survey signifies that almost all respondents are within the preliminary levels of defining information group ROI, with over 50% missing a proper strategy 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 higher show their worth by connecting D&A efforts extra carefully with strategic enterprise targets, guaranteeing that information initiatives drive tangible enterprise outcomes.
Conclusion
The insights from the Gartner Knowledge & Analytics Summit survey present a helpful 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 provide 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 reinforce collaboration between information producers and information customers. To be taught extra about how lively metadata unlocks these efforts, ebook 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). For those who’re thinking about diving deeper and becoming a member of the dialogue, join right here.
