Guides and Tutorials

How To Forecast Diversity With Predictive Data Analytics

by Hok-Him Poon • 23 Jan, 2024
How can you make predictions about the future diversity of your organization, with a model grounded in real data? In this tutorial we will explain how diversity projections work in Pirical On Demand (POD).

How law firms can use Pirical On Demand to report diversity data: Survey Filler tutorial

29 Aug, 2023
Law firms are spending an increasing amount of time reporting their diversity data to clients and third parties including regulators. Learn how Survey Filler in Pirical On Demand (POD) can save you 90% of the time spent reporting diversity data.
Target tracker

How To Set Diversity Goals From Data

by Bella Lagrange • 21 Apr, 2023
This is a step by step guide about how to set diversity goals using POD.
Graph: example k-masking

Protecting Personal Diversity Data during Reporting and Analysis

by Bella Lagrange • 08 Mar, 2023
Diversity data is sensitive and individuals need to be protected from inferential disclosure. When a headcount is below an agreed threshold, k, then the headcount will be hidden. This prevents accidental disclosure of an individual's private diversity data.

What are p-values?

by Rob Griffiths • 07 Dec, 2022
Often featured in our analysis, p-values are statistical measures that allow us to assess, and demonstrate, the significance of our results. To better understand what these values represent, we have put together this quick guide.
Graph: example diversity data

How To Handle Unknown Or 'Prefer Not To Say' Diversity Data

by Martin Le Roux • 02 Aug, 2022
When analysing or reporting on diversity data, two cases are important to consider: * individuals who haven’t been asked or did not respond -> Unknown * individuals who decided not to participate -> Prefer Not To Say (PNS) A common confusion is how to analyse these records.

How To Control Access To Sensitive HR Data

by Rob Griffiths • 11 May, 2022
As more users have access to self-serve from your firm’s HR data, how can you make sure commercially or personally sensitive data is protected? In this tutorial we will explain the privileging system in Pirical On Demand (POD).

How To Build Presentation-ready HR Reports That Update Themselves

by Rob Griffiths • 11 Mar, 2022
Creating simple, beautiful, and insightful analytics from HR data can be hard work. Particularly if you want to keep those analyses up to date and circulate them to stakeholders each month. In this guide we will look at how to use Pirical On Demand (POD) to assemble custom stories, which are then automatically kept up to date with your firm’s latest data.
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