Alteryx One Platform

1. Rapid, visual data preparation - The drag-and-drop workflow canvas lets analysts prototype and iterate transforms quickly, so we were able to deliver the first set of dealer input files in a matter of days rather than weeks. 2.Wide connectivity - Alteryx connects to our source systems and intermediate stores easily, so we can pull combined views and produce unified inputs for Qlik. 3.Reduced manual handoffs - Automating the file generation eliminated many manual extraction and formatting steps that previously caused delays and errors for dealer reporting.

I liked that it required no coding skills, could blend data from multiple sources and automate repetitive tasks.

Platform stand out for its ability to bring together data preparation analytics and automation in a single environment. it empowers analyst and data teams to work independently and iterate quickly. Once workflows are set up they are reliable and reusable which helps maintain consistency across projects.

1. Licensing cost - Alteryx can be expensive as you scale users, server usage and workloads, thus budget planning is essential. This can contribute to operational overhead too as running an Alteryx server requires dedicated admin effort. 2.Performance on large datasets- for extremely large datasets and tables we sometimes need to push processing down to the database or rethink or restructure the workflow to avoid long run times 3.Version control and collaboration friction - Visual workflows are powerful, but managing versions and code-style reviews is less straightforward than with text-based pipelines.

I disliked the customer support, the upskilling learning curve, and the scalability issues.

The initial learning curve can be steep for new users especially those without a strong data background full stop licensing costs are also relatively high which can be a barrier for smaller teams. Additionally very large datasets can sometime impact performance unless workflows are carefully optimized.