IBM Cognos Dashboard Embedded is an API-based solution that lets developers add end-to-end data visualization capabilities to their applications.
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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
IBM Cognos Dashboard Embedded
Sigma Computing
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IBM Cognos Dashboard 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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Community Pulse
IBM Cognos Dashboard Embedded
Sigma Computing
Features
IBM Cognos Dashboard Embedded
Sigma Computing
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM Cognos Dashboard Embedded
-
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
IBM Cognos Dashboard Embedded
-
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
IBM Cognos Dashboard Embedded
-
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
Appropriate to create a visualised dashboard from data. Detailed analytics features using Cognos reports. The software is capable of creating cubes and packages that can be used to extract exactly what you need to visualize in specific in your group you work for.
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 BI has many performance issues while working on simultaneous projects or heavy code based projects. That is not an issue with BM Cognos. Lack of some very useful features like drop /down/drag makes it very effective against Microsoft BI. Support for IBM Cognos is more promptly available as compared to Microsoft with less hoops to follow
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.
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.