Dataiku is a French startup and its product, DSS, is a challenger to market incumbents and features some visual tools to assist in building workflows.
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Roambi (discontinued)
Score 7.9 out of 10
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Roambi was a cloud-based solution designed specifically for mobile data consumers, used to create touch-based data visualizations. It was acquired by SAP in 2016 for the SAP Analytics portfolio, and has since been discontinued as a standalone product.
Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
Getting Roambi up to speed in your company certainly is a quick win. After just a few days, several of our reports were mobilized, interactive and automatically updated. Building Roambi reports is not hard to do; the intuitive interface allows virtually any type of user to create his or her own reports.
Report templates that are easy to learn, use, update and maintain.
Great looking reports that stay up-to-date with what Apple is producing. When Apple rolled out the new look and feel to their iOS7 release, Roambi created a brand new set of reports within two weeks to go along with the iOS7 changes.
Seamless integration with our existing BI environment, SAP Business Objects XI, 3.1. This drastically reduced the time from purchase to client-ready roll out from months to weeks.
I would definitely use Roambi again because of its ease-of-use, but its lack of customization ability makes it difficult to recommend to businesses as business needs are always changing. People are picky, and on the Roambi project, we were not able to fully live up to the customer's expectations, limited by Roambi's preset limitations.
As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
We have compared Roambi against Business Objects, Reporting Services (on tablet) and Cubeware Cockpit. All those solutions lack in support of touch capabilities and responsiveness. Roambi "feels" just right. There is no training required and users love to explore the application. Compared to Roambi all other solutions feel very technical and hard to understand.
Increased insights on customer success metrics (using a Layers report).
Higher motivation of employees, better communication towards employees, tighter bonds with the company - because of Roambi Flow. Periodic Flow magazines with analytic capabilities are sent out to the employees, as we value frequent and meaningful contact - both ways.
