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Dark Innovation: Why Stealth is the Way to Go

Phil McKinney

By "going dark" — keeping a project or initiative under wraps (in stealth mode) — a team can progress without the risk of interference. Personal Example of a Dark Innovation Project Over my career, I've created several dark innovation projects leading to commercial products and services.

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Agility is the 2023 Success Factor

Leapfrogging

For example, you might have a project you expect to take three months to complete. If you were to work in two-week sprints during the three-month project, however, you would have five cycles of defining goals, achieving them, and then applying your learning to make your project even more effective along the way.

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Use a Strategy Uncertainty Map to Find Clarity in Disruptive Times

Leapfrogging

A Strategy Uncertainty Map is a visual representation of your top opportunities, which can include products, services, projects, or business strategies. For example, when you assess your projects on the basis of your uncertainty in these two areas, you get a relative view of which projects carry the most risk so you can invest more wisely.

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The 21 Best Business Strategy Blogs

CMOE

To be good leaders, managers must continuously foster a learning approach in themselves and their team members. s+b is a publication managed by member firms of the PwC Network. McKinsey & Company A global management consulting firm, McKinsey & Company is a trusted advisor to leading businesses, governments, and institutions.

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How to use the 70-20-10 Rule to drive innovation within your business

Leapfrogging

The basic idea behind the rule is that 70% of stakeholder time and organizational resources for innovation projects should be spent on core business, 20% on related projects to the core business and 10% of the time to projects unrelated to the core business but that can drive the organization forward. . .

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You can't burn data

Jeffrey Phillips

This comparison was strong enough to lead Wired magazine to define data as the new oil in a magazine article some years ago. Most businesses have a range of data types, data quality and data management, none of which lead to high quality data. After all, both are abundant commodities that can create value.

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FinTech and Machine Learning

IdeaScale

According to Fortune Magazine, some of the top financial technology trends for 2017 are consumer trust, buying behavior, mobile banking, blockchain, cybersecurity, and access. And machine learning could be applied towards many of those already (for example: using data to optimize for consumer buying behavior).