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Blog
Article | How to use Dataiku Window recipes for customer insights
Learn how to use Dataiku’s Window Recipe to analyze customer behavior, track orders, and calculate purchase frequency, all with no-code tools and real world examples. Blog
Then vs Now: Modern doesn’t have to be brand new
You don’t need to throw everything away and start from scratch to have a modern data ecosystem. Here, Amplifi looks at how to utilise what you have for maximum impact. Blog
The importance of our dedicated Stibo Systems practice at Amplifi
Creating value for new and existing Stibo Systems STEP customers through expertise and consultancy Blog
Why is customer data still an issue?
Collating and maintaining accurate, reliable data is crucial to understanding your customer, creating exciting and relevant data initiatives and supporting your business goals… so why exactly does customer data still present such an issue for retailers? Blog
Article | Basketball Intensity: Analyzing Weighted Averages in Dataiku
Are NBA stars more focused and intense in the playoffs than in the regular season? Using weighted averages and quarter-by-quarter data in Dataiku, this analysis examines offensive and hustle metrics to uncover how performance truly shifts when the stakes rise. Blog
Rip it up and start again? Understanding the anatomy of a modern data ecosystem
We examine the anatomy of a modern data ecosystem and how to identify key capabilities in your existing technology stack. Blog
Technology + Culture: the makings of a modern data ecosystem
What makes a data-driven enterprise? Amplifi examines the relationship between culture and technology in a modern data ecosystem. Blog
Article | Why your organization needs a business glossary
Many organizations invest in data governance tools but still struggle because business users lack clear, shared definitions. A business glossary bridges this gap by translating technical terms into accessible language, reducing silos and improving decision-making across the organization. Blog
Article | Data science quick wins: How to choose your first project
Early data science success starts with picking the right first project. By focusing on trusted data, measurable value, and insights that drive positive action, teams can prove impact quickly and build momentum.
