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.
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
Article | How Data Leaders Can Win Budget and Buy-In for Analytics Transformation
Many data leaders struggle to secure the budget and support needed to launch or scale analytics initiatives. Using the story of a new analytics leader whose pitch falls flat, this article outlines how organizations can connect business value, people, process and technology to gain leadership confidence and drive a successful data transformation.
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Article | Dataiku Elo Model: Predicting the Winner of Super Bowl LVII
Discover how Dataiku and the Elo rating system can be used to forecast NFL matchups, including a full walkthrough of data preparation, model setup, and prediction scenarios for Super Bowl LVII.
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Article | The benefits of anomaly detection in Dataiku for predictive analytics
Anomaly detection is one of the most powerful ways organizations can uncover hidden patterns, identify risks early, and automate complex analysis. Learn how Dataiku enables scalable anomaly detection and predictive analytics, and how enterprises working with Amplifi can accelerate time to value.
Blog
Article | 3 best practices for data visualization in manufacturing
In manufacturing, effective visualizations turn complex data into clear, actionable insight. Here are three best practices to help your visuals land with the audience that needs them most.
Blog
Article | Creating an application-as-recipe for flow reusability
A quick guide to turning a multi-step Dataiku flow into a single reusable recipe using the “app as recipe” feature, making it easier to apply consistent prep steps across projects and maintain everything in one place.