Science-based Strategies -
Tailored for your team's needs
​Each organisation is unique in their culture, engagement styles and learning strategies.
This is why we believe Data and AI initiatives should be customised for each organisation to ensure the transformation is sustainable for success.
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Our Approach:
Data and AI Learnings for Lasting Impact
Neuroscience to Embed Data Values
Understanding how the brain absorbs information, we use immersive techniques to integrate data values a core part of your company culture.
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Our initiatives combine hands-on methods with real-world scenarios to reinforce data responsibility and quality, tailoring them to specific job personas.
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Through cognitive reinforcement and repetition practices, this approach leads to better retention of data values and cultural principles, encouraging employees to embrace their role in the organisation's Data and AI strategy.
Social Learning to Drive Cross-Functional Data Insights
Social Learning promotes data practice sharing and success story exchange among cross-functional teams.​
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By using this collaboration process, it strengthens critical thinking, builds connections, and enhances overall data understanding, making learning more effective and engaging.
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This helps break data silos that often hinder the flow of data and insights across an organisation. Learners come to an awareness of how data travels and is used across the organisation and the impact their data behaviours have on other areas of the business.​
Transform Learnings into Actions
Data and AI Habits Formation
The science of habit formation helps employees embed data learnings into desired data behaviours.
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By introducing practices incrementally, this allows employees to gradually adapt. Consistent exposure through regular initiatives and integration of Data and AI tools into workflow routines is key. ​
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Context sensitivity is used to tailor approaches for functions' specific needs. We co-create environmental cues with teams to trigger effective use of Data and AI that is relevant for their roles.​​
Drive Adoption through Grass-Roots, User-Driven Initiatives
We advocate for Data Catalysts as change ambassadors in organisations. They can accelerate data engagement and adoption through their peer networks. These catalysts inspire colleagues by sharing their personal data experiences, demystifying complex concepts, and showcasing tangible successes.
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We like to gamify change to encourage Data and AI engagement. This includes quizzes, hackathons, and storytelling contests. These cross-functional challenges promote healthy competition and boost Data and AI community collaboration.
