People analytics a case for machine learning

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Predictive analytics – creating actionable insights People Analytics & Machine Learning Patrick Coolen – Manager HR metrics & analytics ABN AMRO

Transcript of People analytics a case for machine learning

Page 1: People analytics a case for machine learning

Predictive analytics – creating actionable insights

People Analytics & Machine LearningPatrick Coolen – Manager HR metrics & analytics ABN AMRO

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HR analytics – some perspective

USE INSIGHTSCREATE INSIGHTS{ Ability and maturity to access and analyse data }

{ Willingness and capability to act }

Dashboards

Reporting

Surveys

ANOVA

Regression / SEM

Data mining

Machine Learning

Multiple HR/ Business

datasets

Multiple HR datasets

SingleHR datasets

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Businessoptimization

3

Peopleoptimization

2

HR effectiveness measures

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HR data and reporting What?

When?

Why?

What if?

Tracking &tracing

Benchmarking

Compare differences

Relations / drivers

Predictions

Periodically

Continuously

Look

Learn

Decide

Act !

Not (only) about creating insights !

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Some of our research

Retail – How is customer satisfaction, quality and revenue growth impacted by our workforce?

Engagement – Main drivers are vision & direction, client focus, fair treatment?

IT – What are the circumstances leading to long term and short term sick leave?

Leadership program – Is our leadership program really effectiveness?

Benefits survey – What are the relationships between benefit satisfaction and engagement?

IT operations / call centre – What are the main HR drivers for average handling time?

Commercial clients – What make employees a ‘trusted advisor’ and deliver a high NPS?

Private Banking – What is driving client satisfaction, client acquisition and revenue

Private Banking – What drives efficiency?

Team effectiveness & Collaboration – How do these HR theme’s influence our business?

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Engagement index

Net growth

Products sold

Absenteeism

Vision anddirection

Client focus

Gender diversity

Trust from immediate manager

Discussion on Risk issues

Age diversity

Part ofreorganisation

Clientsatisfaction

Involvement

Expertise Trusted advisor

Clientcentricity Credibility

Some examples

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Some of our posts

The 10 golden rules of HR analyticsBest practises and lessons learned on how to implement an HR analytical function within ABN AMRO.

The next big thing in HR analyticsVision and trends on the next wave of (HR) analytical tools and their functionality.

A practitoner’s view on HR analyticsAbout the balanced blend of skills needed to succesfully implement HR analytics.

Flipboard magazineCollection of articles on HR analytics and strategic workforce planning

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The next big thing in HR analytics

Easy to use

Quick data exploring and basic statistics

Methods on demand (multiple methods/ algorithms)

Insights on demand (easy adjustable datasets and models)

Visualisation on demand

Predictive simulations

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Our process steps

BUSINESS QUESTION

SOURCES DATASET INSIGHTSSTATS

CORRELATIONS

ANOMALITIES

ASSOCIATIONS

DECISION TREES

CLUSTERS

REGRESSION

CHECK

LOGISTIC REGRESSIONCLASSIFICATION ALGORITHM

K-MEANSG-MEANS

BAGGINGRANDOM FOREST

MAGNUM OPUS

ISOLATION FORREST

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