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Resource
Guide: Data Strategy with Amplifi
Blog
Article | How to sample data in Dataiku: train, validate, test
Accurate machine learning depends on well-structured data sampling. Learn how to apply percentage splits and k-fold cross-validation to ensure reliable performance metrics and consistent results in Dataiku. Blog
Voices | Data Mesh: How do you make a data product economy work within an organisation?
Discover how a data mesh can transform your organisation, revealing the strategic benefits of treating data as a product. This approach can revolutionise your business strategy and data management, and pave the way for a successful internal data economy. Blog
Case Study | Eidsiva Bredbånd empowered to deliver a data strategy that scales data capabilities to match growth
One of Norway’s leading broadband providers worked with Amplifi to validate their data strategy and identify the most impactful next steps. Blog
Case Study | Empowering QS by delivering a single view of higher education institutions
Amplifi and QS worked together to deliver a single view of the world’s leading higher education institutions to further enable students to fulfil their potential. Blog
Article | AI Maturity Assessment: Understand Your Readiness for AI
Discover how AI Maturity Assessments help leaders move from AI curiosity to AI-driven results. Learn models, surveys, and next steps to scale AI with confidence. Resource
Video: Amplifi's Data Strategy Methodology
Blog
Article | Best practices for documenting Dataiku projects
Documenting your work in Dataiku ensures projects remain understandable, reusable, and easier to improve over time. This article walks through practical ways to document your Dataiku projects so you can save time, reduce rework, and help your future self (and teammates) pick up where you left off. Resource
Guide: 3 steps to better Data Integration
