HRM ASIA 2016 May 11.0

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HR SUMMIT 2016 DHEERAJ SHASTRI

Transcript of HRM ASIA 2016 May 11.0

Page 1: HRM ASIA 2016 May 11.0

HR SUMMIT 2016 DHEERAJ SHASTRI

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The Evolution of

Analytics

Analytics Framework

Taking Leadership

Along

Reporting to

Forecasting

Art Or Science

Bringing different

functions together

SESSION FLOW

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JUST THINK AND THIS TRAIN RUNS IN

OPPOSITE DIRECTION

YOUR BRAIN HAS POWER TO CHANGE THE

DIRECTION OF THIS TRAIN

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MY CAR IS ALLERGIC TO VANILLA ICECREAM!!

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CAR MECHANIC

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PUZZLED

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COLLECT DATA

CORRELATION

FAILED TO START

Wai

ting

Tim

e Day of Week

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CAUSATION SOLUTION

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MYSTERY SOLVED

The “moral” of this story is that buying

vanilla ice cream and the car failing to start

are correlated events however; this story

demonstrates that correlation does not

mean causation.

This often is the case in work environment.

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HR Analytics Maturity Scale

Initial Chaotic,

adhoc,

individual

heroics

Repeatable Documented,

simple process

Defined Quality Assured,

owned,

operational

Managed Standard

Metrics,

strategic

Optimizing Process /

improvement

What’s my

Headcount?

How do I collect

the data?

Where’s my Headcount

and how is it changing?

Which Spreadsheet do I

use?

What is the quality of

the data?

Who owns the

process?

Is our HR Strategy

working?

How do we compare to

other organizations?

How do we recruit higher

quality talent?

Which processes are driving

employee engagement?

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??

COOKING PROCESS

What to cook?

Understanding

Project Scope

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DISH DECORATION

SLIDES, PICTURES, GRAPHS,

COLOR, FONT

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SERVING DISH

PRESENTATION : STORY TELLING,

MESSAGE

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The Art The Art The

Science

Using data to drive talent decisions requires both art and science:

The ability to ask the right questions, shape the analysis and deliver the findings (the

“art”), in addition to having access to metrics based on high-quality data drawn from

a range of sources (the “science”).

ANALYTICS FRAMEWORK

Reference: Successfactors Webinar

Identify

the Issue

Analyze

the Data

Deliver

the

Findings

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STEP 1: ART

Identifying Business Issues for Analytics

• Start With Strategy, Not With Data

• Treat Requestor as “Customers”

• Understand Business & Market

Reference: Successfactors Webinar

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STEP 2: SCIENCE

Analyzing Data With “Actionability” in Mind

• Elements of Data Analysis

• Understand What the Metric Tells Us and

What’s Missing

• What level of confidence in the analysis/

data will be acceptable?

Reference: Successfactors Webinar

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STEP 3: ART

Delivering the Findings to Drive Action

• Create a Compelling Message

• Less Data, More Story

Reference: Successfactors Webinar

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Data Facts Information Appears in

the Report

Provide

Insights to

make

decisions

Research findings

is what managers

already know

DATA RESEARCH TREND OBSERVED

What’s missing? How can we improve?

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Analytics Influences across Human Capital

Reference: McKinsey & Company and The Conference Board report

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CORRELATION DOES NOT MEAN CAUSUATION

Summary

DATA REPORTING IS NOT ANALYTICS

START WITH AN INTENT AND KNOW END CUSTOMER

CONNECT THE DOTS TO PRESENT A COMPLETE AND COMPELLING STORY

BRINGING DIFFERENT FUNCTONS TOGETHER

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Thank you !