NGA.NET Talent Analytics Introduction to Talent Analytics and Interim View 01 Overview Erich O’Saben Talent Analytics Consultant
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