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Driven by Data: The Podcast
S3 | Ep 33 | Design Thinking: Creating Value-Driven Data Products & Solutions with Micheline Casey, CDAO at Siemens Energy
Jun 20, 2023
Micheline Casey, Chief Data & Analytics Officer at Siemens Energy, discusses using design thinking to create value-driven data products. They explore the challenges of the energy sector, applying design thinking to data analytics, and understanding customer needs for innovative data products.
44:05
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Quick takeaways
- Design thinking enables a customer-centric and agile approach to delivering value in data products and AI solutions.
- The organizational structure plays a crucial role in facilitating effective design thinking by aligning stakeholders, defining roles, and fostering collaboration.
Deep dives
Applying Design Thinking in Data Products and AI Solutions
Design thinking is a problem-solving approach that involves understanding customer pain points and iteratively developing solutions that meet their needs. This approach can also be applied to data products and AI solutions, allowing for a more customer-centric and agile way of delivering value. By focusing on desirability (what customers actually want), viability (access to the necessary data), and feasibility (building and iterating on the solution), organizations can ensure that they are effectively solving the right problems and delivering meaningful outcomes. Design thinking provides a framework for businesses to bridge the gap between problem-solving and technical implementation, creating innovative solutions that drive value.
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Discover
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