Own every forecast version

Alternative asset management

“You're not using specialized Python developers to analyze billion-row records anymore — you're just adding an Excel user.”

“We're already seeing some early wins. Reports that used to take me an hour or more weekly I can put together in under ten minutes.”

Financial services

“Sigma's approach to AI is about speeding up time to insight — and keeping people in the loop.”

Proptech & rewards

Used Sigma Input Tables for scenario modeling and forecasting, and cut monthly financial close from two weeks to three or four days.

Cloud data protection

Built a scenario-planning application on Sigma Input Tables that lets customers model "what could happen" before committing to full-scale changes.

Identity verification

“We've been able to see people create new dashboards in relatively quick time periods — now we're seeing people say, 'Let me go see how it looks in the data.'”

Education technology

Sigma data apps erased the line between data entry and data consumption, helping the team move faster.

Consumer packaged goods

Financial market infrastructure

The critical market infrastructure clearing and settling the vast majority of U.S. securities transactions.

Capital markets

One of the world's largest options exchanges and market infrastructure providers, spanning derivatives, equities, and data services.

Capital markets

A leading global operator of electronic marketplaces for rates, credit, equities, and money markets.

Brokerage & trading

An online brokerage offering trading technology and market access across stocks, options, futures, and crypto.

See customer stories→

Trusted by teams everywhere

From the hottest startups to the Fortune 100.

See customer stories→

It's time to end the cycle

Why start every reforecast from scratch?

You'll pay for it again next cycle, and the one after that... and the one after that.

"Our forecast lives in 18 tabsone workbook, needs 8 to 15 rebuildszero rebuilds a year, and costs a full daya few seconds per new column."

Sigma holds the forecast inputs in Input Tables inside your warehouse, and adding a period or a driver is an edit rather than a rebuild.

Why start every reforecast from scratch?

Why finance teams switch

What changes when finance teams switch to Sigma

What FP&A and accounting teams point to first.

Change one driver and everything downstream follows

Change a driver and every downstream number updates at once, because it was never copied out to begin with.

Every AI answer traces back to a real number

Sigma routes AI through the LLM provider you already run, and logs each request under your warehouse controls so you can open the rows behind any answer.

Every number carries its own history

See who changed what and when, so you already know the story before anyone in the room asks.

Spreadsheet skills are enough to build the forecast

The formulas, sorts, and pivots you already use run against warehouse tables, so the person who needs a new column adds it.

Billions of rows, the same speed as a handful

Query billions of rows live, at the same speed and detail as a handful, so you never have to simplify the model just to make it run.

Finance teams already run on Sigma

See how they model scenarios, plan, and report on live data.

“What would potentially take us three weeks [with our legacy tool] is down to a day or two with Sigma—which is more than 90% in time savings.”

Tyler LawsonDirector of Business Intelligence & Analytics, Workato

“Input Tables from Sigma gives our employees the ability to enhance their data by adding their commentary, conducting “what-if” analysis, and telling better data stories.”

Han ZhangSenior Vice President, Blackstone

Sigma empowers teams across Cowen to easily analyze historical data and take a holistic approach to their analytics.

Ira LupkinManaging Director at Cowen Inc.

“We’re working toward ensuring there’s a data model for every pod. That way, teams can self-serve answers through a consistent structure.”

Ben KramerSenior Director of Analytics, Bilt

Every stage of the forecast cycle, in one workbook

01Discover

Run the scenario yourself

Drivers and overrides live beside the data. Change a growth rate and every downstream period recalculates live, so the analyst who owns the number runs the scenario in one sitting.

Adjust a driver and see every period recalculate
Compare many scenarios side by side on live data
Keep overrides and comments inside the app with the data

02Act

Freeze a version and prove it

Locking a version freezes it, so nobody overwrites an approved forecast. Every edit carries a user and timestamp, so when two numbers disagree the trail shows who submitted which.

Lock an approved version so nobody overwrites it
Trace every edit to a user and timestamp
Compare an approved version against actuals and reforecast

03Govern

Reforecast on your schedule

Automated Actions rerun the forecast on a schedule, and Sigma Agents point at the driver behind a variance. If an agent gets it wrong, the reasoning and the rows are there to check.

Rerun the forecast nightly without touching the workbook
Flag a variance and name the driver behind it
Route AI through the LLM provider you already run

Connections

Runs directly on your warehouse

+more

Forecast inputs inherit the warehouse's governance

Every number a planner types lands in the warehouse, governed by the roles and row-level security you already enforce.

Change historyAppend only

DWFP&A lead updated Forecast on Jan 202614:22

MEAnalyst edited Assumption on Feb 202614:09

ROSales director approved Scenario on Mar 202613:51

JTFP&A lead reassigned Owner on Jan 202611:04

Append-only writes

Input Tables write to a designated write schema through an append-only write-ahead log. Production tables stay untouched.

Inherited permissions

Every query, action, and AI call carries the warehouse roles and row-level security. Each person sees their own data.

Full change history

Audit history on the Input Table logs every edit by user, timestamp, and change type. Audit gets its answer without a ticket.

Forecasting apps built on Sigma

See these forecasting apps in action

Revenue forecasting

Spin up a revenue forecast scenario in minutes, adjust the inputs with AI guidance, and watch the impact update live, instead of waiting on a consultant or another spreadsheet.

Pipeline forecasting

Give reps one place to call their number and have it roll up to the team forecast instantly, with the reasoning captured instead of lost in a side spreadsheet.

Demand planning

Run demand planning in one workflow, from raw forecast to a published plan, on live data your whole team trusts.

Driver-based expense forecasting

Build dynamic expense forecasts from operational drivers (per employee, per working day, per event). See cascading P&L impact instantly.

Expense Forecast Agent

Automate budget forecasting on live data with an expense forecast agent that collects parameters, analyzes historical trends, and generates growth assumptions in one pass. The agent builds the forecast and documents the logic, while the workbook surfaces insights, breakdowns, and approval-ready memos.

Workforce planning

AI/ML workforce demand forecasting. Adapt to traffic fluctuations, seasonal swings, and unplanned events with real-time adjustments.

Actuals and scenarios

Every scenario on one set of actuals

Change a driver and all 12 periods recalculate, so every scenario stays anchored to the same closed months.

Every kind of app

More ways to run finance on Sigma

Sigma for dashboards

Dashboards that get to the answer

Sigma for modeling

Model every lever on live data

Sigma for planning

Own your plan in one place

Sigma for project tracking

Project tracking you can act on

Sigma for reconciliation

Reconcile every number in one place

Sigma for reference data

Fix reference data without a ticket