Sigma

Score9.1 out of 10

289 Reviews and Ratings

What is Sigma?

Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.

Categories & Use Cases

Publish to Web
Category average: 8.5
Report Versioning
Report versioning is the assignment of version numbers to each version of a report to help in tracking.
Category average: 8.4
Report Delivery Scheduling
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
Category average: 8.4

Delivery to Remote Servers
Ability to deliver reports to remote servers
Category average: 8.2
Predictive Analytics
Predictive Analytics is the ability to build forecasting models based on existing data sets.
Category average: 7.8
Location Analytics / Geographic Visualization
Location analytics is the visualization of geographical or spatial data.
Category average: 8

Verified User

Engineer in Information Technology (501-1000 employees employees)

Use Cases and Deployment Scope

We used Sigma Computing to deliver multiple dashboards to client. The interface is very user friendly and the spreadsheet like features and calculations makes it easy to learn for the people who are working on spreadsheets. The ability to filter datasets using parameter and also the Row level security that can hide access to any rows from unauthorized access is a big add on. We have also implemented calendar heatmap using pivot table which was appreciated by the client as well.

Pros

Workbook Embedding
Dataset creation
RLS
Filters sync
Custom Operations
Sigma Computing Help and support
User Friendly interface
Easy to learn
Highlighting options
Gauge, Pie, Sankey charts in built options

Cons

Multiple joins with dataset.
Table formatting options

Return on Investment

Saved Time
Saved Costs
Easy to learn
Self service based interface
Pre built visualization formats

Alternatives Considered

Tableau Desktop

Other Software Used

Snowflake, Tableau Desktop, ThoughtSpot, Matillion

Aaron Curtiss

Senior Director of Technology in Information Technology at CredibleMInd (11-50 employees employees)

Use Cases and Deployment Scope

We utilize Sigma for internal reporting on client traffic and behavior, enabling us to understand the differences among various sectors and demographics. It is also used in an embedded context for client-facing reports on similar metrics.

Pros

Data connections.
High quality visualizations.
Good documentation.

Cons

PDF exports do not format well.
Conditional display of visualizations or content blocks.
Data sets are difficult to work with.

Return on Investment

It gives us compelling visualizations to back up business claims.
Clients have 24/7 access to reports that were previously assembled and sent via email by our CS team.
Improved ability to track progress against organizational and dept. KPIs.

Alternatives Considered

Tableau Cloud, Looker and Looker Studio

Other Software Used

Google BigQuery, Google Cloud SQL, Contentful, Mixpanel

Verified User

Engineer in Information Technology (5001-10,000 employees employees)

Use Cases and Deployment Scope

We use Sigma Computing majorly to create detailed data-driven reports and dashboards which are then used by various departments to make informed business decisions. From Sales department to internal IT, Sigma Computing helps address the BI needs and solve problems with data representation. Sigma Computing at our org is used for human resource utilisation analysis, which is vital for understanding and planning for additional workloads without compromising on performance and stability.It is also used for performance metrics and KPIs tracking ensuring that senior management and relevant stakeholders have access to vital performance data.

Pros

Helps in identifying and resolving discrepancies in data
Generating dashboards for tracking key performance indicators
Supports internal operations such as project management and product analytics with data-driven insights
Scheduling automated exports and embedding reports

Cons

Sigma Computing does not allow custom ordering of pivot fields in pivot tables easily
Sigma Computing lacks functionality for creating tables or sections that dynamically adjust to the browser window's height while maintaining a fixed height textbox at the bottom
Sigma Computing does not provide straightforward options for formatting totals in tables, such as renaming 'Total' to 'Average', 'Team Total', etc
Sigma Computing does not support searching by individual tab names within a workbook

Return on Investment

It has helped increase the revenue
Specific dashboards and reports created within Sigma Computing have enabled users to make informed decisions and manage their accounts more strategically
Sigma Computing has automated several reporting processes that traditionally required manual intervention

Alternatives Considered

Tableau Server

Other Software Used

Atlassian Jira, Atlassian Confluence, Glean AI

Verified User

Engineer in Information Technology (501-1000 employees employees)

Use Cases and Deployment Scope

We used Sigma Computing to deliver dashboards. The interface is very user friendly and the custom options that Sigma Computing provides are very helpful. The power of using control IDs of the filters as the parameters directly in the SQL query is a big hit. We have connected our front end application filters with the Sigma Computing dashboard filters and made them communicate with each other.

Pros

Workbook embedding
Dataset creation
RLS
Usage of control_ids of the filters in various ways
Custom operations
Support Team
Easy User Interface

Cons

Multiple Joins in a dataset - not with Custom SQL

Return on Investment

Saved time
Improved self-service for business users
Increased readability

Alternatives Considered

Tableau Desktop and ThoughtSpot

Other Software Used

Snowflake, Tableau Desktop, ThoughtSpot

Verified User

Manager in Customer Service (51-200 employees employees)

Use Cases and Deployment Scope

I use Sigma Computing to discover, interpret and analyze business trends, that then influence where efforts are directed in expanding business.

Pros

Very easy to set up re-occurring reporting on your schedule- for yourself or your team
Simple to follow instructions and guidelines on setting up new boards
Powerful data analysis that influences every facet of business

Cons

Utilization of AI to help sales teams strengthen their story
More free trainings for Sales and account management teams on boards and board management
Suggestions when building boards so teams don't lose the thread of data- help make the interpretation of data easy to digest

Return on Investment

Increased revenue by 10%
Improved self-service for all teams across org- especially given we are a health tech- all teams have access to same data
Saved 25% time at initial outset by allowing for fast admin, automation and interpretation- sharing the same data across teams, avoiding siloing