Dataiku DSS: Click or code--the choice is yours!
Rating: 9 out of 10
IncentivizedUse Cases and Deployment Scope
I work for a client who's implementing all their data science solutions on Dataiku DSS. I have been working on implementing these solutions for my client for over a year now. Currently, it is channeled through the IT department and we have expanded across multiple departments ranging from finance to sales. We have implemented multiple time series forecasting projects, NLP, business optimization as well as customized analytics data flow for the finance department.
Pros
- The intuitiveness of this tool is very good.
- Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
- The way you can control things, the set of APIs gives a lot of flexibility to a developer.
Cons
- The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
- When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
- Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
Likelihood to Recommend
I would recommend it because it's an amazing tool for different levels of users. From Business Analysts to Data Scientists to Managers, various employees can make use of this tool to make data-driven decisions. I'm not sure about where it would be less appropriate as I'm using it as Data Scientist and so far it pretty much caters to my need.