I like how Dataiku helps us identify some data quality issues and correct them before presentation. It's really important because, without data quality, the data is almost worthless, and you can't really make any insight out of it if it's not good quality. I also found the setup process to be very easy. We integrated with our intra authentication system, set up connections to Snowflake, and then started working on it.

What I like most about Dataiku is how much faster it lets me move on marketing data projects for clients. In my day-to-day work as a digital marketing consultant, I often have to bring together data from multiple sources—CRM exports, campaign performance reports, website analytics, sales data, and sometimes offline datasets. Dataiku gives me a structured environment to clean, connect, and analyze everything in one place, without having to rebuild the entire process from scratch each time. I use the visual workflows regularly because they make the end-to-end process far more transparent. Rather than working only in spreadsheets or in isolated scripts, I can see every step of the data preparation flow and explain it clearly to clients or internal teams. This is especially helpful when I need to show exactly how a lead scoring model, a customer segmentation analysis, or a campaign performance dataset was created. Another thing I really value is the balance between no-code and code options. For everyday consulting work, it’s practical: I can move quickly with visual recipes for common tasks, and then go deeper with SQL or Python when the analysis needs more flexibility. That saves time and makes it easier to adapt the workflow to the complexity of each project. Dataiku also improves collaboration with non-technical stakeholders. When I’m working with marketing managers or sales teams, they don’t always need the technical details, but they do need to trust the output. Having a clear, documented workflow makes conversations smoother and helps translate analysis into concrete marketing decisions. Overall, the biggest benefit for me is that Dataiku turns complex data preparation and analysis into a repeatable consulting workflow. It helps me spend less time on manual data cleaning and more time interpreting results, spotting opportunities, and recommending actions to improve campaign performance, customer targeting, and ROI.

What I like most about Dataiku is the way it balances ease of use with strong analytics and AI capabilities. It allows business users, analysts, and data scientists to collaborate smoothly within the same platform. The combination of visual workflows and the flexibility to code when needed makes it straightforward to go from experimentation to production more quickly.