Introduction to Talent Analytics and Interim View 01 Overview - - PowerPoint PPT Presentation

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