Item: Sigma Computing
Rating: 10
Author: Nick Healey

Overall Satisfaction with Sigma Computing

Use Cases and Deployment Scope

Sigma provides self-service analytics, enabling users to perform complex data analysis without relying on IT or data teams. Sigma Computing offers various analytics use cases, including cohort analysis and spend attribution. Their mission is to empower everyone to explore data and make better decisions, and they have received funding and recognition for their analytics and AI products.

Pros and Cons

Pros

Support
UI
Data visualizations.

Cons

Price
New features.
Solution compatibility.

Return on Investment

Increased knowledge for decision-making.
Saved time.
Better feature focus for customers.

Key Insights

Do you think Sigma Computing delivers good value for the price?

Yes

Are you happy with Sigma Computing's feature set?

Yes

Did Sigma Computing live up to sales and marketing promises?

Yes

Did implementation of Sigma Computing go as expected?

Yes

Would you buy Sigma Computing again?

Yes

Alternatives Considered

Tableau CRM

Sigma Computing is easier for users, has less latency, and was a better experience working with the seller. It is a great solution that I am super impressed with. The alternatives we evaluated were more difficult and slower. Sigma is fast and easy and that is worth so much in my role.

Other Software Used

Groove, LeadIQ, TechTarget Priority Engine

Likelihood to Recommend

It’s great for companies parsing data through multiple clouds with multiple customer types or personas. It also is great for companies with disproportionate statistics because of bot problems. Sigma is really top-notch in these scenarios, but it seems to be a worthwhile investment if you are only in one cloud as well.

Sigma Feature Ratings

Comments

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Easy and fast! What is better?