Sigma Computing: Future of BI Analytics tools

Sigma Computing is a business intelligence and cloud analytics service that offers live access to cloud data warehouses using a simple spreadsheet user interface. The Sigma Spreadsheet interface, which was inspired by the spreadsheet expertise employees were educated with, enables anyone—from the data team to analysts and domain specialists at every level—to swiftly examine data without the need for code or extracts. An iterative and community-driven approach to A&B powered by Sigma allows data specialists to concentrate on more creative and satisfying projects while balancing business objectives with analysis. The business intelligence tool Sigma is unique from others. Anyone can study data at cloud scale and speed with Sigma, the only Cloud Analytics solution with a spreadsheet-like user interface. For business teams, Sigma Workbooks offer an intuitive, collaborative canvas. To make data storytelling simple, it integrates spreadsheets, visuals, and text. This enables teams to quickly and accurately identify solutions.

Within the Sigma collaborative canvas, users may quickly transform analyses into interactive visualizations and dashboards. Authorized users can quickly delve into the underlying, granular data for additional investigation if a visualization raises a new query. Among the notables are: Because live information is used to fuel visualizations, they are constantly current, don’t need to be rebuilt, and have one-click visual filtering. Changes to the layout for the best data narrative are simple for anybody to do thanks to intuitive “drag & drop.” integrate workbooks and dashboards safely into bespoke, external, and internal applications.

Without ever writing a single line of code, anybody can use Sigma’s easy, cloud-scale spreadsheet interface to analyze real-time data to the smallest possible level of detail using well-known formulae. A well-known spreadsheet interface with almost infinite scalability, functions, formulae, filters, sorts, and pivot tables allows for the quick analysis of billions of rows of data. To effectively organize and convey research, analysis and visualizations should be seamlessly integrated across pages of a workbook. Auto-generated, optimized SQL is created by user activities and supplied to the cloud data warehouse. Visually mix data from different tables and parse JSON. support for complex analyses, including cross-level computations, scenario modeling, forecasting, and more, as well as simple row-level data grouping for segment or cohort analysis. Intuitive, adaptable visual data modeling tools provided by Sigma allow BI teams to save important time by curating, streamlining, or joining raw table data to create controlled, user-friendly datasets.  Live data is used to power datasets, ensuring that they are constantly current. Use datasets across many Sigma Workbooks with ease. For better performance, materialize datasets in your cloud data warehouse. By providing a “plain English” table and column descriptions, users may contribute crucial information. Advanced users have the option to skip modeling and examine your cloud data warehouse’s raw table data directly. With the help of the team’s collective strength, Sigma’s cloud architecture enables simple, regulated sharing, commenting, and reuse of live analyses, visualizations, and datasets. Teams can easily interact on various live data pieces on a single page using Sigma, allowing them to develop and discover insights that influence results. Data and analytics are shared correctly thanks to granular role-based access control and one-click sharing. Teams may easily locate pertinent data and analysis thanks to workspaces. Dashboards and element comments encourage teamwork.

The value of your data is increased, accelerated, and monetized by Sigma’s embedded analytics. Authorized users may access the regulated data that lies behind analytics incorporated into internal, external, and bespoke applications and analyze to respond to new inquiries as they come up. A powerful analytics system that puts billions of rows of real-time data in your hands is necessary for complete supply chain insight. Teams can estimate demand, reduce interruptions, and boost profit margins with Sigma’s assistance.

Mike Palmer is the CEO of Sigma Computing. Sigma Computing is located in San Francisco, California, the United States. It has 5 investors, including Snowflake Ventures and D1 Capital Partners.