Overall Satisfaction with Mode Analytics
We use Mode Analytics in our company when we need an easy way to access the data combined with the flexibility of using Python to perform advanced analysis. The uses range from marketing analytics to customer behavior, and we might use it for fraud analytics. The department that uses it is the research department, where engineers and data scientists have the knowledge required to use it.
- Connect to databases
- Python Notebooks
- Flexible analysis modes
- Requires advanced knowledge to use
- Drilldowns and filters are not simple
Mode is the best for the advanced user with advanced use cases. Even creating a simple report will require an SQL query. No drag-and-drop interface for querying data. But it is best for the advanced user already familiar with Python or R and SQL. The other products are more business friendly.
For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.
I didn't have to use IT support, so I don't know. But the system is asking me to give a rating. The documentation is good.
Do you think Mode delivers good value for the price?
Are you happy with Mode's feature set?
Did Mode live up to sales and marketing promises?
Did implementation of Mode go as expected?
Would you buy Mode again?
For any data scientists or engineers willing to do advanced analytics. The simple analytics in it are hard to do. And business users with no knowledge of SQL will have a problem to even get started. The availability of Python and JS will give advanced users a lot of flexibility without the need to learn anything new. IT will just streamline access to data and management of notebook versions.