nga.net talent analytics introduction to talent analytics ... interim... · • “void”,...
TRANSCRIPT
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NGA.NET Talent Analytics
Introduction to Talent Analytics and Interim View 01 Overview
Erich O’Saben
Talent Analytics Consultant
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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
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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
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Powerful Data Visualization
Column
Bar
Line
Map
Pie
Special Purpose
Combination
Financial
Meter
Area
Statistical
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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
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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!
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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
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Features – Data Dictionary and User Interface (Cont)
6. Drill Down Analysis
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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
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Interim View 01 Demo
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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.
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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