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Blog
How can manufacturers harness their data to support business goals?
Manufacturing is under increasing pressure to remain relevant, innovative, and ahead of the curve. Here, we look at how their data can help them do so. Blog
Data Quality 101
Blog
Data Virtualization 101
Data Virtualization presents a modern approach to Data Integration. By seamlessly integrating and abstracting data from multiple sources, data virtualization empowers businesses to unlock valuable insights and make data-driven decisions. Blog
Voices | Integrating Dataiku and Visual Studio Code for Python Development
Integrating Dataiku DSS with Visual Studio Code lets developers write and debug Python recipes locally while staying connected to Dataiku projects. Ryan Moore, SVP of AI & Analytics at Amplifi discusses how the setup enhances flexibility, streamlines workflows, and combines Dataiku’s collaboration with VS Code’s development power. 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.
