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Causal

Score10 out of 10

1 Reviews and Ratings

What is Causal?

Causal, from the company of the same name in London, presents a way to perform calculations, visualise data, and communicate with numbers. It helps build models faster, connect them directly to data, and share them with interactive dashboards and visuals. Suggested use cases are financial planning, planning CPC campaigns, track KPIs, or determine employee compensation.

Top Performing Features

  • Customizable dashboards

    Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

    Category average: 8.7

  • Report Formatting Templates

    Category average: 8.4

  • Drill-down analysis

    Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

    Category average: 8.7

Areas for Improvement

  • Predictive Analytics

    Predictive Analytics is the ability to build forecasting models based on existing data sets.

    Category average: 7.5

  • Pattern Recognition and Data Mining

    Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

    Category average: 6.2

  • Delivery to Remote Servers

    Ability to deliver reports to remote servers

    Category average: 8.5

Super budget friendly software, would recommend to all startups!

Use Cases and Deployment Scope

Financial modelling made easy with Causal.

We had a very challenging use case which involved multiple products with multiple GTM strategies and Causal helped us to paint a picture of what this would look like whilst being able to dial up and dial down resources for what was required for each product to succeed.

The beauty of Causal is the ability to repeat model with ease.

Pros

  • Time Series Analysis
  • Working with numerous variables in ranges
  • Sensitivity Analysis

Cons

  • Lags and volatility in range calculations
  • AI driven error checking through a model
  • Some small bugs which were always flagged and ironed out

Return on Investment

  • Understanding key performance drivers
  • Understanding the cost of HR to drive top line revenue
  • Bringing to light ramp up time for new hires