Take control of your project data and report success with accuracy.

Giraffe Analytics allows you to combine your assumptions with the model to provide insight.

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🦒 In-App Guide

Video Intro to Analytics

Video Analytics Use Case


Giraffe Data Model

Analytics Architecture

In many ways, analytics mimics the spreadsheet software you are used to. The information is in a database of columns, rows, and cells. It is more powerful than your old spreadsheet workflows because it is directly interfaced with the features and assumptions you create - no exporting data from another software required!


Analytics runs off geometric properties of map features you created whilst Drawing, like area, width and length, height, and volume; combined with additional metadata from the Usages and Feature Properties where you identified certain global assumptions for your project.

The meat of Analytics is the Measure: a formula that combines numerical data from units, properties, other measures subtotals, and site areas with additional formulaic inputs to produce calculations that match your firm’s requirements. Results from calculations performed in Measures could be hard costs, net rents, IRR, NOI, impact - the sky is the limit!

The user interface further delineates data with Categories and Tabs, which allow for clean reporting and easy navigation.

Build Out an Analytics Schema

A best practice workflow to build out the analytics for your project would be:

  1. Define all of the Categories for your project. Think of Categories as groupings of measurements.
  2. Confirm the Usages in your project include and reflect the correct property values.
  3. Define all of the Units for your project. Units are the Units of Measure for your calculations.
  4. Create your Measures. These formulas take geometric properties and assumptions as inputs.