NGA.NET Talent Analytics

Introduction to Talent Analytics and Interim View 01 Overview

Erich O’Saben

Talent Analytics Consultant

The Importance of Talent Analytics

• Why are Analytics Important?

• Support organizational decision-making

• Ensure that the required information is provided to those who need it

• Support Objectives and Strategies

• It will enable you to use eRecruit as a key strategic tool

• Analytics will help you:

• Understand what’s working and what may not be

• Work towards best practice and guide future system evolution

Our Philosophy to Analytics

• Provision of powerful self-serve reporting

• Presentation of data should be meaningful

• Support the operational recruitment function

• Support managerial and strategic decision-making

• Full control over data visualization

• Provide numerous ways of distributing information

• Dashboard / Export / Report list

• Build flexible reports that cater for a wide range of information requests

Powerful Data Visualization

Column

Bar

Line

Map

Pie

Special Purpose

Combination

Financial

Meter

Area

Statistical

Features – Simplified Data Structure

1. Fields are in logical groupings based on three basic areas of eR :

• Vacancies

• Applications

• Certificates

2. More pre-calculated fields such as:

• Count of Certificates on a Vacancy

• Count of Certificate Members on a Certificate

• Count of Veterans Preference Eligible on a Certificate

• Count of Hires or Selections on a Certificate

Features – Data Dictionary and User Interface

1. Simplified User Interface

• Combined duplicative fields

• Addition of pre-calculated fields

• Fewer fields but more capability

2. Updated Naming Conventions

• No two fields have the same name

3. Improved Folder Structure

• Fields are grouped into categories by their context

• From 20 folder categories to 8!

Features – Data Dictionary and User Interface (Cont)

4. Built in Data Dictionary

5. Date Hierarchies

Timestamp – dd MMM yyyy hh:mm a

Example: 08 May 2014 01:46 PM

Date – dd MMM yyyy

Example: 08 May 2014

Month – MMMM

Example: January

Year – YYYY

Example: 2014

Features – Data Dictionary and User Interface (Cont)

6. Drill Down Analysis

Features – Data Dictionary and User Interface (Cont)

7. Enhanced Field Output Formatting

8. Removal of Test Vacancies from Reporting – Ticket #1799

• “Void”, “Test” & “Delete” in the Vacancy Announcement Number

• Vacancies created by NGA.NET Staff

Interim View 01 Demo

Process for Adding GQs to Reporting

• Making a GQ available in Reporting is a two step process:

1. Set the GQ Reporting Context

• To be completed by the designated Sys Admin/SME

2. Submit a ticket to Team NTIS requesting that the field be added to the

Reporting Module.

Next Steps

• Available in all USDA Production Instances on Friday, June 28.

• A user guide will be provided which includes the following topics:

• Building an Ad Hoc Report

• Building an Ad Hoc Report using Filters

• Using Charts and Graphs in Reports

• Formatting an Ad Hoc Report

• Creating and Editing a Dashboard