We’re ready to hit another transformative year, and we’re excited to note down a few predictions for the upcoming data trends in 2024.
We’re definitely at the start of the 2024 data revolution.
Powering ahead with Power BI culture and governance
We’ll be seeing a trend of Power BI coming unstuck with lack of governance.
It’s great to see many organisations diving deep into their Power BI deployments. However, as they venture forward, a common challenge emerges: What does ‘success’ truly look like? Many are grappling with the nuances of measuring ROI from their reporting tools, ensuring consistent user engagement, and navigating the technical intricacies that sometimes result in unforeseen overheads.
The remedy? Fostering a vibrant Power BI Culture within your organisation, where governance serves as the gateway, not an obstacle. Even for seasoned organisations, the journey can sometimes seem daunting amongst so many online resources, some of which may offer conflicting guidance.
Our teams have mined their way through invaluable insights and best practices, ready to guide you towards a successful Power BI adoption and governance strategy. For those looking for a structured approach, our Power BI Governance Framework stands as a beacon, designed to align with your organisational goals and aspirations.
Unveiling the future of analytics with APaaS in 2024
As we turn our attention to the emerging trends of 2024, one name stands out prominently: Microsoft Fabric. After its General Availability launch in November 2023, the upcoming year will be pivotal for Microsoft to substantiate the promises surrounding Fabric.
Here are three transformative impacts we foresee:
Access for all
Small and Medium-sized organisations are poised to harness the potential of Big Data and AI, riding the wave that Fabric promises.
Re-evaluation time
For large organisations with hefty investments in existing Data Platforms, there’s an impending need to validate their relevance in light of Fabric’s innovations.
Navigating challenges
Fabric, combined with the rise of Shadow IT, is set to present challenges. CIOs, especially those in collaboration with departments like Marketing, may face pressing questions on why they should wait prolonged periods, such as six months, for a Data Platform.
We’re actively delving into these dynamics and are eager to share deeper insights soon.
Navigating the realities of AI in practice
Building on our earlier discussions around Microsoft Fabric and the evolving landscape of analytics, another trend has emerged from our interactions at various events: the practical challenges of deploying AI to real-world scenarios.
The buzz around AI is undeniable, but its successful application hinges on addressing several critical data-centric issues:
Quality
The integrity and reliability of data remain fundamental. Ensuring high-quality data is not just a technical necessity but a foundational pillar for AI’s effectiveness.
Accessibility
Even with the advancements in technology, accessibility to pertinent data remains a challenge for many businesses. The ability to seamlessly access and integrate data sources is crucial for AI-driven insights.
Availability
Beyond accessibility, the timely availability of data when needed is equally vital. Delays or inconsistencies can impede the AI’s decision-making capabilities.
Unstructured
The majority of data is unstructured, adding layers of complexity. Transforming and preparing this data for AI algorithms is a nuanced task that demands attention and is where we help many of our clients – bringing to the surface that unstructured data.
In the journey towards harnessing AI’s potential, addressing these foundational data challenges is non-negotiable.
Talk to the experts today
As we navigate 2024, we remain committed to supporting our existing and new clients on their journey to identify their own data gaps and create a plan to take their teams forwards. Speak to our experts on 0800 130 3656 or contact us here to discover how Dufrain can help you.