A solution from Microsoft to provide customer-facing reports, dashboards, and analytics in applications by using and branding Power BI as one's own. Designed to reduce developer resources by automating the monitoring, management, and deployment of analytics, while getting full control of Power BI features and intelligent analytics.
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Sigma
Score 9.1 out of 10
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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.
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Pricing
Microsoft Power BI Embedded
Sigma Computing
Editions & Modules
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Pricing Offerings
Microsoft Power BI Embedded
Sigma
Free Trial
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Yes
Free/Freemium Version
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No
Premium Consulting/Integration Services
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No
Entry-level Setup Fee
No setup fee
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Community Pulse
Microsoft Power BI Embedded
Sigma Computing
Features
Microsoft Power BI Embedded
Sigma Computing
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Microsoft Power BI Embedded
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Ratings
Sigma Computing
8.9
Ratings
9% above category average
Pixel Perfect reports
00 Ratings
8.80 Ratings
Customizable dashboards
00 Ratings
9.20 Ratings
Report Formatting Templates
00 Ratings
8.70 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Microsoft Power BI Embedded
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Ratings
Sigma Computing
8.6
Ratings
7% above category average
Drill-down analysis
00 Ratings
9.40 Ratings
Formatting capabilities
00 Ratings
8.30 Ratings
Integration with R or other statistical packages
00 Ratings
7.30 Ratings
Report sharing and collaboration
00 Ratings
9.40 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Microsoft Power BI Embedded
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Ratings
Sigma Computing
9.1
Ratings
9% above category average
Publish to Web
00 Ratings
9.90 Ratings
Publish to PDF
00 Ratings
9.00 Ratings
Report Versioning
00 Ratings
9.90 Ratings
Report Delivery Scheduling
00 Ratings
9.80 Ratings
Delivery to Remote Servers
00 Ratings
7.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
The scenario where it shines more is in the treatment of data that is not easily correlated at first sight, it helps to find causes of unsuccess in productive environments. The only thing that is required is to have properly collected data to feed to Power BI, so it won't be useful in environments where the data is not collected with care, since the representations won't be representatives of the reality.
Scenarios where Sigma Computing is well suited: - Data Reporting and Visualisation : It is suitable for dashboards that integrate data from multiple back-office systems - Search and Filtering Capabilities: It provides a robust platform for searching through datasets and visualisations. Scenarios where Sigma Computing is less appropriate: Handling of null values and dynamic table adjustments
Viewer level license is quite limited. These users can't download data or even add filters on datasets. Something to keep in mind.
Directly querying the underlying data warehouse will lead to increased usage. Not a big deal on something like Redshift, but your Snowflake consumption will increase, potentially by a lot.
Because we are very satisfied with the product and would most likely renew because of the services it provides. It is a tool that you bring into your organization and let it change the way you analyze your data, present your data and share you date within the Respective teams
It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
They are very friendly and informative. They are quick in resolving our queries and help us understand very minute things as well. They are quick in creating feature tickets based on our custom requirements, and they would also create a bug ticket if there is any discrepancy and get that checked on time.
Microsoft Power BI Embedded is already established as a de-facto standard as a business intelligence platform for the enterprise world. It comprises the best features to be delivered for the products being developed by providing a wide range of functionality. For instance, there are supported numerous graphic visualizations of data points such histograms, pie charts, heat maps and so on
I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface for smaller companies like ours without dedicated BI resources on staff.
Microsoft Power BI has had a positive impact on our business objectives by allowing everyone to better understand the data that is being presented. Some people can process numbers and charts easily, but interactive visualizations can aid visual learners and just makes the dashboard look a lot nicer with the ability to dive deeper into the numbers (through visualizations). Thus, engagement and understanding have improved.
One negative impact is that there is a rather steep learning curve since Microsoft Power BI's language (DAX/M) can be quite different from traditional Excel. Because of that, either you need to hire people who are specialized in Microsoft Power BI, or you need to account for the fact that they will need to be trained (or take time to learn it). Thus, there can be direct costs from hiring new people, or indirect costs through training/employee taking time to learn the software.
Another positive impact of Microsoft Power BI is that it got us thinking about how we can be better as an organization in terms of laying out our raw data, organizing data, conducting research into better metrics we can track and report on, etc. Because Microsoft Power BI made the presentation/visualization (+ regular updating/maintenance) part of our dashboard easier for us, we were able to start thinking about additional metrics and additional ways we can improve our reporting.
Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.