Causal

Causal offers an immersive new way to perform calculations, build analytical models and share them with interactive, visual dashboards that everyone can understand

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A brief overview of Causal

Causal is a tool for performing calculations, visualising data, and communicating with numbers. It takes the good parts of spreadsheets and combine them with the good parts of programming, to make number-crunching fast, collaborative, and accessible to everyone. Everyone increasingly needs to use data and numbers to make decisions, and they are all (mostly) using spreadsheets to analyse numbers to make better decisions. This is what Causal is aiming to change by being the new spreadsheet for working with numbers. With Causal, you can build models 10x faster, connect them directly to your data, and share them with interactive dashboards and beautiful visuals.

Reasons to consider Causal in your no-code stack

Causal's formulas are in plain English— no cell references or obscure syntax — and a single Causal formula can do the work of 10s, and even 100s of spreadsheet formulas.
It can perform financial modelling, data viz, excel++, simulation, scenarios, communication, sensitivity analysis and calculate ROI.
Causal's built-in Scenarios feature lets you easily set up and compare what-if scenarios, and you can work with ranges ("5 to 10") to understand the full range of possible outcomes of your model.

What can you accomplish with Causal?

Consolidate data from multiple sources + business entities: Pull financial data directly from your accounting system, and combine it with operational data from your CRM and analytics tools to build fully integrated models.
Automatically track the performance of your model against actual data, and against historical model versions. Easily compare historical model versions (e.g. Annual Budget) against actuals and current forecasts.
Generate beautiful charts and tables without spending hours on customisation and configuration. Easily switch between different time scales and summary views.