Dataiku vs. Intellicus BI

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.

Incentivized

Intellicus makes complex data analysis easy through the use
of Powerful Business Intelligence tools.
Their dashboard capabilities provide a flexible and efficient way to
deliver information and analytic tools to users without the need for highly
technical skills.



Non-technical users are not exposed to simplified ways to
build data query logic. This is a tricky
requirement to satisfy though, because of the level of complexity that is
inherent within data mining and analysis.

• 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.

Incentivized

• Dashboards are flexible and comprehensive
• Visualization tools are easy-to-understand and contain powerful analysis capabilities.
• System administration including multiple data source configuration, application deployment and upgrading, and integration scheduling is straightforward and efficient.
• The Intellicus team is extremely knowledgeable, responsive, and a pleasure to work with!

• End product deployment.

Incentivized

• Building complex query objects and cubes could be more user-friendly.
• User interface loads of complex OLAP of large data cubes could always use improved performance :)

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.

Incentivized

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.

Incentivized

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.

Incentivized

• Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
• Platform also ease tracking of data processing workflow, unlike Excel.
• Build-in data visualizations covers many use cases with minimal customization; time saver.

Incentivized

• Intellicus provides the necessary Business Intelligence capability that is required by our customers.
• The business value is almost impossible to quantify because it is a critical part of nearly every customer account we have!