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Sigma is being used by many departments at our company including Accounting, Finance, Treasury, Cash Management, IT. The data we surface in Sigma allows many different business users to analyze company data without having to request it from internal groups within the company. Historical financial data from the GL is the most heavily used dataset in Sigma and was previously only available by query out of our ERP system. Now people throughout the company can self-service and do their own trend analysis on financial items that relate to their business units. Other departments are loading their own data in Sigma and utilizing Sigma's powerful data shaping technology to analyze and share datasets with other colleagues at the company.
We use Sigma Computing as a data analysis and visualization tool for performance marketing and website analytics data stored in a cloud data warehouse.
It's being used across the board. We generally use it for summarizing the loan app statistics across all the banks, prepare the data for campaign, and troubleshoot product issues
Sigma [Computing] is arguably used by the whole organization. We have lots of viewers, but very few regular users. As far as I can tell, Sigma [Computing] was selected on the basis of its usefulness in gatekeeping data from the organization, rather than encouraging transparency. In my assessment, Sigma [Computing] makes it extraordinarily difficult to find reporting and analysis that has already been done... which is useful if you're on the gatekeeping side of the gatekeeping-vs-transparency trade-off spectrum.
We are using Sigma [Computing] to provide embedded dashboards to our customers in our product. Sigma [Computing] is also being used internally within our company by different departments to run day-to-day operations.
It addresses the problem but allows for efficient pulling of different types of data. Our company has different groups of data sets stored in the database, Sigma Computing allows us to pull particular, relevant data for clients and daily tasks. We have shared scripts that pull from different tables and gather together pieces of information in an organized and sorted layout. I occasionally will make a pivot table or chart within Sigma Computing but usually download information as a spreadsheet.
Sigma [Computing] is our BI tool for internal reporting/dashboarding and data-driven decision making. We use it primarily for sales, marketing, inventory, and operational needs, but finance and other departments also use it. It enables us to answer ad hoc business questions, build dashboards for repeated, frequent use, and other analytics and monitoring.
Sigma [Computing] is currently being used the the central data analytics and visualization tool for all facets of our business. We've integrated it with Snowflake, which houses data across all critical business systems. Sigma [Computing] is the user facing tool available to tap into those data blocks, serving the needs per department
Sigma [Computing] is being used across our entire organization as our Business Intelligence hub for all of our data across all of our business functions. For marketing we use Sigma for business performance reporting, campaign performance reporting, customer segmentation, cost monitoring and a range of other ad hoc analysis.
We started utilizing Snowflake cloud data warehouse and needed a client-face visualization tool. We've been able to customize the UI to make it feel like it's a part of our platform. So far clients are loving it and they didn't have to wait too long to get all the new reporting and data tools.
We use Sigma [Computing] for all reporting needs from selling and returns, to inventory management and customer engagement. It has been an extremely useful product for all departments as we are able to customize all of the necessary data for whatever project we are trying to analyze. What's even better is you don't have to know how to code to create your own worksheet!
Sigma computing is used to create reports that are embedded [in] the app. It is also used across the organization for internal reporting needs.
We use Sigma [Computing] to create dashboards and reports to allow the organization to access data from our data warehouse. This allows users to make better decisions bases on data. We also use Sigma [Computing] to push data to Google Sheets - which helps improve manual processes and ensures that we can always have up to data in these sheets.
Sigma is a data analytic tool that is used in my whole organization, it helps those who are not proficient with SQL to analyze data easily.
We use Sigma [Computing] to pull in data and create automated reporting from Snowflake. This creates an easy way to parse the data that lives in Snowflake. Sigma [Computing] is incredibly fast and does so many things that Excel by itself is simply not equipped to do. The amount of data it is able to pull in quickly is remarkable.
Sigma [Computing] is used as the primary data visualization software at our company. It's being used by departments from Marketing, Sales to Operations and Finance. Our teams use Sigma [Computing] to answer questions and make decisions using data.
It's the main BI platform used across the board. We made datasets available for the people to build their own analysis as well as build ready-to-use dashboards.
We used Sigma Computing to analyze data across the organization, but especially in the sales org. We found that we weren't able to get the data and analytics we needed from our CRMs alone and relied heavily on Sigma Computing for that.
Our Team uses Sigma [Computing] for data analysis and visualization purposes. It allows us to better communicate key performance metrics to our clients.
We use Sigma Computing across all departments. We use to organize leads coming from different channels.
Driving self-service descriptive and diagnostic analytics by function by enabling analysis through sanctioned data sets.
It is being used across the company. It is our primary Business Intelligence tool and it allows us to surface reporting in our app. All of our reporting and dashboards are presented through Sigma, both internally and externally.
Sigma has been great for creating reports of financial data and corresponding visualizations. We've been using it for reporting payment and invoicing data. It helped consolidate the data across multiple data silos.
Sigma Computing is being used to analyze data reported by a network of android-based devices in the field, and the manufacturing info for those devices. In particular, my team uses it to track errors or issues that are reported. Sigma allows us to see trends for issues as they arise and predict future failure rates.
Sigma is modern analytics built for the cloud. Used by data-first companies, Sigma provides live access to cloud data warehouses using a spreadsheet interface designed to empower business experts to ask more questions without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, the vendor states business users gain the freedom to analyze data in real time without limits.
- Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
- Supported: Customizable dashboards
- Supported: Report Formatting Templates
- Supported: Pixel Perfect reports
- Supported: Drill-down analysis
- Supported: Formatting capabilities
- Supported: Predictive modeling
- Supported: Report sharing and collaboration
- Supported: Publish to Web
- Supported: Publish to PDF
- Supported: Output Raw Supporting Data
- Supported: Report Versioning
- Supported: Report Delivery Scheduling
- Supported: Delivery to Remote Servers
- Supported: Visual Data Modeling
Watch Embedded Analytics with Sigma - Sigma’s embedded analytics functionality extends, accelerates, and monetizes the value of your data by securely embedding dynamic dashboards in internal, external, and custom applications.
- Into the Unknown: 8 BI & Data Trends That Are Shaping 2021. In this eBook, we discuss eight of the most promising trends in data and analytics to take advantage of in the coming year.
- Embedded Analytics with Sigma - The goal of this white paper is to educate you on all the different facets when building and deploying a customer facing analytics solution embedded in your web site.
- Sigma Enhances Traditional BI
- Playbook: How Data Analytics Empowers Retail Merchandisers to Thrive Through Disruption
|Mobile Application||Mobile Web|
|Supported Countries||United States, Canada, OK|
Frequently Asked Questions
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.
Reviewers rate Customizable dashboards and Report sharing and collaboration highest, with a score of 8.7.
The most common users of Sigma are from Mid-size Companies and the Computer Software industry.