1. People Analytics Garage
HR Leadership meets Data Science
Virtual Event, April 21, 2020
Positioning Statement • Who should attend? • Participants’ stories • Agenda
Positioning Statement – Why is the People Analytics Garage different?
FOR HR Leaders and Data Scientists in large organizations, WHO have recently started to build up People Analytics Capabilities, the People Analytics Garage is an event THAT connects domain knowledge from HR leaders with methodological know how from Data Scientists. UNLIKE other conferences, the People Analytics Garage focuses on transferring know how on how to implement people analytics use cases.
Who should attend?
HR Leaders & Project Managers
Data Scientist
No Vendors & Consultants
No Powerpoint
Cost & Participants
%
Seats filled for People Analytics Garage
Interested? Apply now!
In case you wonder .. here are the stories of selected participants
Alexandra, Chief People Officer & Group CMO
Adrian, Data Scientist
Adrian works on data science projects both in marketing and in HR. He has also extensive know on data sourcing/ preparation from SAP SuccessFactors as well as from other HR systems.
Mike, Sr. Manager HR Analytics
Mike is in charge of continuously developing HR Reporting and providing various dashboards to the organization. Recently, he has been involved in various people analytics projects.
Fabian, Sr. Data Scientist
Agenda – or what you can expect!
9:30 - 10:00 Introduction & Virtual Walk Thru Neue Golden Ross Kaserne
What? We quickly introduction and setting objectives, we have quick virtual walk through the historic Neue Golden Ross kasserne, which is the home of over 50+ companies
Why? Get to know other participants, get to know the location (virtually), get to know the objectives of the day
10:00 - 10:30 My Learnings as a data-driven Marketer in HR
Alexandra Barth, CPO HRS Group
What? Alex will give a 15 minute talk and then discuss with you how HR needs to change in light of a more value adding role
Why? Create insights on how HR needs to change to be a value driving unit in the board room
10:45 - 11:15 My Learnings as an Analyst in HR
Mike Kleemann, Sr. Manager HR Analytics
What? Mike will discuss the challenges and needs of the HR organization itself, when it comes to introducing analytics
Why? Create insights on how the HR department itself needs to part of a change process
11:15 - 11:45 My Learnings as a Scientist in HR
What? Christian will discuss why HR has difficult time implementing long-standing academic insights
Why? Create insights on the friction between strategic insight and implementation
12:00 - 12:30 My Learnings as an Data Scientist in HR
Dr. Thomas Görtz, Co-Founder / CTO Predict42
What? Thomas will discuss how to build a data science stack and how it can / should be integrated with existing systems
Why? Create insights on how to build up a (open source, SAAS & cloud based) technology stack for People Analytics
12:30 - 13:30 Lunch and Discussion
We will break for lunch and then re-convene virtually for the afernoon sessions
13:30 - 15:30 Group A: Network Analysis and Attrition Prediction Use Case (Merck)
Adam McKinnon, Advanced People Analytics Practitioner; Merck Group
What? Adam will discuss and show on how Merck has started to implement network analytics as well as attrition prediction to support smarter HR decision-making
Why? Create insights on how to implement network analytics / attrition (flight risk) prediction
13:30 - 15:30 Group B: Performance Evaluation / HR budget planning simulations (HRS Group/ Predict42)
Adrian Göttert, Data Scientist HRS Group / Dr. Thomas Görtz, Co-Founder / CTO Predict42
What? Adrian and Thomas will discuss how to design performance evaluation and HR budget planning simulations based on SAP SucessFactors Data
Why? Create insights on how to design decision support systems for evaluation and budget planning simulations
13:30 - 15:30 Group C: Capability Analysis with Merck & Lufthansa job posting data (University Mainz/ Predict42)
Henry Lam, Data Scientist Predict42
Martin Briesch, P.HD Student University Mainz
What? Henry and Martin will discuss how they scraped job openings and subsequently use NLP to detect and grade capabilities.
Why? Create insights on how create capability profiles from job descriptions and / or job postings
15:30 - 16:00 Short Wrap up from all groups
Dr. Johannes Fuhr, Host & Co-Founder Predict42
What? Everbody will share their lessons learned from the afternoon sessions
Why? Create momentum to carry over ideas to your own work / the company you work for
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Seats filled for People Analytics Garage
Interested? Apply now!
Join us (virtually) on April 21, 2020 9:30 - 16:30
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Predict42 - Goldene Rosskasserne
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