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USING BIG DATA TO DETERMINE QUALITY HIRE

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by

Joan Thuo

on 21 August 2013

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Transcript of USING BIG DATA TO DETERMINE QUALITY HIRE

USING BIG DATA TO DETERMINE THE COMMON CHARACTERISTICS AMONG THE TOP PERFORMERS IN SALES AT IBM
Common Characteristics Among Top Performers
1. Biographical Information
2. Sourcing Channels

Biographical Information
1. Work Experience
2. Education Level
Sourcing Channels
1. Career Portal
2. Job Board
3. Agency
4. Referral
5. Social Media
What Defines a Top Performer in Sales at IBM
1.Exceeding Sales Targets
2.Manager's Ratings
Line Period
Analyze data among the TOP SALES PEOPLE in the year 2012 in the global IBM structure excluding Europe.
TIMELINE
WEEK 6: Analyze Data

WEEK 7: Review with SME

WEEK 8: Final Presentation for HROT

WEEK 9: Summary Presentation at MEA
WHAT IS BIG DATA
WHY USE BIG DATA IN RECRUITMENT
Reverse engineering successful hires.
Using an analytical approach to pinpoint the most common characteristics of successful employees (e.g., nature of prior experience & level and type of education),and then turn those insights into more fine-tuned hiring profiles.
Big data is data that is so voluminous and often so varied in structure and content that it cannot effectively be managed by traditional database technology.
VALUE PROPOSITION OF BIG DATA
Big data can BOOST our business by helping us: find right candidate, reduce our recruitment cost & increase retention rate.
ORIGINAL TOPIC
"Using big data for recruiting to determine the impact of specific characteristics on quality of hire"
Data obtained was coded, organized analyzed using SPSS and presented using frequency tables and percentages.

MEMBERS
Alessandro Bonorino- Sponsor
Tanya Delany-S.M.E
Sumaiya Noor-Mentor

TEAM:
Grace Kariba
Joan Thuo
Motunrayo Momodu
Bethsheba Akinyi
Busisiwe Gwidza
INTRODUCTION
To process manage, and optimize the exponential growth of resumes and other talent data coming from multiple sources, IBM can leverage big data intelligence technology to fully understand and maximize recruitment metrics.
METHODOLOGY
Full transcript