Sigma Computing--effective but a steep learning curve
August 19, 2022
Sigma Computing--effective but a steep learning curve
Score 6 out of 10
Vetted Review
Verified User
Overall Satisfaction with Sigma Computing
Sigma Computing is used as a business intelligence tool. It fits somewhere between Google Sheets and Looker in our BI stack. We try to keep a limited amount of data in Looker, so we often do ad-hoc or proof of concept analyses in Sigma Computing that don't fit neatly into our Looker environment. Sigma Computing is useful for building more robust dashboards than we might be able to do in Google Sheets.
- Dashboards
- Visualizations
- Organization
- Can be a steep learning curve
- Not as useful for unstructured data exploration
- Concept of groups is confusing
- Improved decision making
- Better reporting on feature and product usage
Do you think Sigma Computing delivers good value for the price?
Not sure
Are you happy with Sigma Computing's feature set?
Yes
Did Sigma Computing live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Sigma Computing go as expected?
I wasn't involved with the implementation phase
Would you buy Sigma Computing again?
Yes
Sigma Computing has improved our ability to report on feature and product usage and make more data-driven decisions. It is very quick to query data in SQL and translate it into a visualization. We've also been able to add reporting and analysis that did not fit neatly into our existing Looker instance.
Sigma Computing is one of the tools we use for ad-hoc analyses, though lately we've been using other tools that are easier to go from SQL query to visualization. Sigma Computing is useful when we need to create full dashboards with filter capabilities, though this isn't always required for ad-hoc analyses.