2 cheat sheets—to help you identify valuable AI use cases & qualify AI as a solution
Product Primer—to help you validate the feasibility of your solution
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The Datasparq team were great to work with and their data science and engineering expertise has really helped us tackle some high-value challenges by creating a new data capability for us—and delivering a solution we can operationalise to inform our revenue management decisions.
—Phil Boynes | Ceo @ Parking Eye
Identifying the opportunity
The first session is about building understanding; how things work today, what the challenges are, and there-in where the opportunities reside.
Value chain review - Value chain/company process to be mapped in advance
Pain point identification - Identification and detailing of main pain points in process
Solution ideation - Creation of solution ideas to address the challenges identified
Defining the solution
The second session is about working out where to focus and determining how best we can get started.
Prioritising opportunities - Value vs complexity, identification of top 3 solutions to explore
Completing Product Primers - Deeper dive into each solution, to create product definitions
Agreeing next steps - Defining a delivery roadmap for the phases of work, including immediate, short and long - term actions to provide a clear line of sight to value capture