
Webinar: The Business Case for Data: Unlocking High-Impact Use Cases
Why Your Data and AI Strategy Hinges on the Right Use Cases
Many organizations recognize the potential of data and AI to transform their business, but when it comes to implementation, they often stumble at the first hurdle: defining and prioritizing use cases. It’s not for lack of ambition or resources but rather a lack of clarity on how to connect data initiatives to real business value.
This is where things often go wrong.
Common Challenges with Use Cases
Confusion Between Business, Data & Tech Use Cases
Organizations often blur the lines between these three distinct areas. Business use cases define the problem or opportunity the company wants to address. Data use cases identify how data supports solving that problem, and tech use cases focus on the tools and platforms required. When these are not clearly differentiated, teams risk focusing on technology for technology’s sake rather than driving business outcomes.
Failure to Prioritize Value-Driven Use Cases
Too often, organizations choose use cases based on trends or perceived quick wins rather than aligning them to their strategic goals. This approach results in low-impact initiatives that fail to deliver tangible ROI.
Lack of Connection to the Wider Business Strategy
Use cases can only create meaningful impact when they are directly tied to the organization’s overarching objectives. Without this alignment, data initiatives remain siloed and fail to gain executive buy-in or deliver sustained value.
No Robust Framework for Measuring Success
Many organizations dive into data projects without a clear way to measure progress or success. Without metrics and a strong evaluation framework, it’s impossible to demonstrate the value of data initiatives or justify continued investment.
Inadequate Prioritisation & Cost-Benefit Analysis
When everything feels like a priority, nothing truly is. Organizations often struggle to prioritize use cases effectively, leading to wasted resources on projects that don’t deliver high ROI.
How Our Webinar Will Help
At this webinar, Samir Sharma and Matthew Small, I will provide a proven methodology to overcome these challenges and build a strong foundation for your data and AI strategy.
We’ll break down:
- How to differentiate between business, data, and tech use cases so you can focus on initiatives that drive measurable outcomes.
- How to create value-driven use cases that align directly with your organization’s strategic goals.
- How to connect use cases to your business strategy to ensure they deliver meaningful results across your organization.
- A simple data strategy measurement framework to track progress, measure ROI, and prove the impact of your initiatives.
- How to prioritise use cases effectively through ROI and cost-benefit analysis, so you can invest in the projects that matter most.
Real-World Insights from Industry Case Studies
This is not just theory. We’ll share live case studies from industries such as Oil & Gas, Supply Chains, and Charities to demonstrate how organizations have successfully applied this approach to achieve real-world results. You’ll leave with practical insights and actionable takeaways to apply to your own organization.
Why This Matters Now
As organizations face increasing pressure to deliver results from their data and AI investments, getting the basics right has never been more critical. This webinar will equip you with the tools and methodology to build a data and AI strategy that creates real value, avoids common pitfalls, and sets your organization up for long-term success.
If your organization is embarking on or refining its data and AI strategy, this is an opportunity to learn how to approach use cases with confidence, clarity, and purpose.
We’ll also leave time for a live Q&A, so bring your questions and challenges. Whether you’re a CEO, CDO, CIO, CFO, COO, or senior leader tasked with driving your organization’s data strategy, this session will provide the guidance you need.
We look forward to seeing you there!