CASE STUDY: Implement Design Thinking to Ensure Success of Big Data Projects

June 5, 2018

Prerequisite: None

Philip Koo

Philip A. Koo

Scientist

SPAWAR Systems Center Pacific - SSC Pacific

Analytics leaders need a framework that allows the team to stay on track. Success hinges on focusing first on the customers and the problems specific to their contexts. Skills for empathizing with the customer and inspiring creative brainstorming are key elements in this process. Gartner predicted that in 2017, 60 percent of big data projects would fail to go beyond piloting and experimentation and would be abandoned. Leaders need to focus on mindsets and culture to ensure success for their big data projects. Implementing design thinking can help you succeed with big data. A design framework will allow your team to fail fast and fail cheaply before wasting resources. Using design thinking will help identify the pain points and build a product that fulfills a need or solves a problem. Design thinking puts the customers and their needs as the starting point of developing a new product.

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June 3–5

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