Sigma Computing – Delivering the Full Spectrum of Self-Service Cloud Analytics and Business Intelligence

Cloud-native architecture fully takes advantage of the distributed, scalable, flexible nature of the public cloud to maximize your focus on writing code, creating business value and keeping customers happy. Going cloud-native means abstracting away many layers of infrastructure—networks, servers, operate systems etc.—allowing them to be defined in code. The cloud is helping organizations connect people, data, and processes in new ways to embrace the possibilities enabled by modern technologies. To succeed in a digital-first world, business leaders are bringing business and IT closer together and optimizing processes to create new value for customers. Cloud Data Platform AKA a Cloud Data Warehouse as a service (DWaaS) is the centralized repository for all of an organization’s data, offering the elastic infrastructure, unlimited scale, cost-effective risk mitigation, security management, and other cloud-specific benefits traditional on-prem warehouses do not support.

Sigma Computing was designed to enable cross-functional teams to make data-driven decisions by harnessing the full power of the cloud. Sigma empowers everyone, regardless of technical expertise, to ask granular questions of their data in a familiar spreadsheet interface without scale limitations. Sigma is the only Cloud Analytics solution with a spreadsheet-like interface that enables anyone to explore data at cloud scale and speed. The heart of the Sigma Workbooks unified collaborative canvas is a simple interface that enables you to model, analyze, visualize, and ultimately, present data-driven conclusions to your most pressing business challenges.

The Sigma Computing Promise

Empowering Business: The company empowers users with true self-service and an uninterrupted flow of analysis without having to ask for help. Curate data sets, iteratively analyze data, and make calculations against billions of rows of live data using spreadsheet skills, pivot tables, and formulas to find answers in seconds. Enable cross-functional teams to collaborate so they can understand data down to a granular level and communicate results within a single Sigma workbook.

Cloud Data Warehouse: Sigma solutions are pure cloud-native SaaS solutions, designed to leverage the full power and flexibility of cloud data warehouse technology. It overcomes the limitations of traditional business intelligence and analytics tools. Connect directly to live, trusted data in your cloud data warehouse and eliminate data extracts. Explore data within minutes of connecting to your warehouse for near-instant time to value. Incorporate a wide range of data types, including JSON with automated parsing, into analyses. Maintain synchronized security and governance with your cloud data warehouse

Performance at Scale: A unique combination of direct connection to your cloud data warehouse and in-browser data calculation delivers a lightning-fast user experience at any scale. Join data sets and analyze hundreds of billions of rows of data in seconds without having to summarize, aggregate, extract, or cube data for performance. Leverage the virtually limitless scale, processing power, and concurrency of your cloud data warehouse for a seamless experience with any number of users on any size of data.

Leveraging Best Cloud-Native Products and Services for Organizations

Sigma Workbooks: Sigma Workbooks provides an easy-to-use, collaborative canvas purpose-built for business teams. It unifies spreadsheets, visualizations, and text for easy data storytelling — enabling teams to find answers and make fast, accurate data-driven decisions. Users can easily turn analyses into interactive visualizations and dashboards within the Sigma collaborative canvas. If visualization generates a new question, authorized users can just click into the underlying, granular data for further analysis. The intuitive, cloud-scale spreadsheet interface within Sigma empowers anyone to analyze live data down to the lowest level of detail using familiar formulas so insights are discovered easily and quickly — without ever writing a single line of code. Familiar spreadsheet interface with near-unlimited scale and functions, formulas, filters, sorts, and pivot tables for analyzing billions of rows of data in seconds. It offers easy row-level data grouping for segment or cohort analysis and support for advanced analyses, like cross-level calculations, scenario modeling, forecasting, and more.

Sigma for Data Analytics & Business Intelligence: With just one tool, data teams can now balance security and productivity — quickly providing clean, reliable data that adds value to business and frees up time for the jobs that matter most. The cloud data warehouse has the power to fundamentally change the way they work with data at scale. But legacy BI tools were simply not designed with the CDW in mind and fail to leverage its full potential. Sigma was built from the ground up solely to live in the cloud. It’s been optimized to take the full performance potential of the CDW and present it in one intuitive, powerful cloud business intelligence tool. Data teams know that the security and integrity of data is their top priority, but business users and analysts also need access quickly and easily if that data is to add real business value. Sigma’s cloud-based solution for BI ensures that all data is secure and governed because it never leaves the CDW. There’s no need to extract data for analysis and permissions are set and inherited from the row level up.

Cloud Analytics Stack: Leading companies are bypassing traditional approaches to BI and reporting in favor of leveraging new technologies that accelerate time to insight and do more with less. They’re growing their businesses and outpacing the competition by building modern cloud analytics technology stacks that empower everyone to harness data in advanced and unprecedented ways. Organizations today have more applications that generate more data than ever before, but traditional analytics solutions prevent teams from unlocking its full value. Harnessing the automation and elasticity of cloud services eliminates mundane system maintenance so data teams can focus on innovative and influential data projects. For business users hungry for on-demand answers to open-ended questions, cloud-based analytics delivers true self-service ad hoc data exploration that fuels business outcomes. The modern cloud data analytics stack consists of three layered technologies and cloud-based services that collect, store, and analyze data. Together, these tools allow organizations to unlock the full value of their data and fuel smarter decision-making for all. Cloud-native analytics tools give everyone the ability to directly query live data from the cloud data platform down to row-level detail — no manual SQL or proprietary coding required — while maintaining strict data governance. Connects directly to the cloud data platform in minutes to start doing analytics in real-time – no copies or extracts required. It operates at cloud scale and speed – no slowing down or crashing with large data sets over billions of rows and offers an easy-to-use interface with functionalities and governance that allow team members to reuse and repurpose analyses for easier collaboration.

The Pre-Eminent Leader

Mike Palmer serves as the Chief Executive Officer of Sigma Computing. He is skilled in building teams through global personal network, hiring new talent and growing incumbent talent according to circumstance. Mr. Palmer has a demonstrated ability to work with founders and evolving executive teams. Also, he has a vast experience in SaaS development/marketing/sales, Agile development transformation, Public Cloud (GCP, Azure and AWS GTM as well as cost efficient platform development), UX practices, Pricing (all models).

“Our mission is to empower everyone to make the best possible decisions at every turn by removing the barriers that prevent people from analyzing data across sources.”