As a consulting partner of Dataiku since 2018 and one of the top 35 Dataiku users in the world, Excelion Partners continues to..
If you've done a number of analysis projects in Dataiku, you've likely come across the scenario where you want to "package" a..
With the automation of complex and previously manual processes, now any stakeholder is able to take part in data analytics..
After your Dataiku model is created, the next step is to test it on live data. After all, a lot of work has been put into it..
DataOps, short for Data Operations, has become a mature part of the data analytics pipeline. This is the process to improve..
Every enterprise organization is implementing some sort of AI and data analytics strategy. The understanding that AI and..
According to Dataiku, about 85% of big data projects fail. Though such a large percentage of failure can be discouraging, it..
Visualizations aren’t just pie graphs and histograms, they build trust with your audience and share valuable insights. These..
As nearly every Data Scientist knows, Jupyter notebooks are an extremely powerful and common platform for Python development...
We discuss an the challenges of running advanced analytics and data science projects with an individual and why a team..
