Opening Data to Innovation: stories, takeaways and twists

Opening Data to Innovation: stories, takeaways and twists

By drawing on examples from Britain, America’s Pacific Northwest, and Japan, this article explores how data can drive innovation. Cross-silo collaborations can help organizations get inventive about how they make meaning from data and use insights to create valuable new products, services, and processes. Some data is proprietary, while other data is open and available, but using data for innovation often means opening it by asking questions and seeing what insights the answers communicate. The article dives into three groups of stories: visitor patterns that drove simple website redesign, social data that revealed peer behaviors in useful ways, and crowdfunding that helps measure demand. The key takeaways are that people matter more than numbers, data must illuminate people’s experience, and no rigid data structures can constrain great innovation.

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An Introduction to Design Thinking for Innovation

An Introduction to Design Thinking for Innovation

Design thinking is a problem-solving approach that focuses on the needs of the customer to build valuable ideas. It encourages user-centricity and iteration through a series of prototypes to gain greater clarification.

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How to Choose the Right Technology for Your Startup

Choosing the right technology for a startup is crucial. Here's how to go about it by focusing on pain points, security, financial model and employee training.

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Innovation Funnel vs Innovation pipeline: What is the Difference?

Innovation pipeline and innovation funnel are two different methods used for managing the innovation process in business. This article explains the difference between the two and their importance in improving innovation practices.

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