People analytics: Breaking myths with agility and passion | Talent Connect 2016

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Breaking Myths with Agility and Passion Piyush Mathur SVP People Analytics Doug Shagam VP Enterprise Analytics

Transcript of People analytics: Breaking myths with agility and passion | Talent Connect 2016

Breaking Myths with Agility and Passion

Piyush Mathur SVP People Analytics

Doug Shagam VP Enterprise Analytics

I think I know

“We are a measurement

company”

Mitch Barns

CEO

PANEL HOUSEHOLDS

6.7 BILLION STORE TRANSACTIONS EACH MONTH 34 MILLION

RETAIL ITEMS

1.7 MILLION STORE VISITS EACH MONTH

BUYER

250K

TV ONLINE

MEANINGFUL PARTNERSHIPS

1.6 TRILLION IMPRESSIONS PER YR

U.S. TV VIEWERS

24X7 MONITORING OF 9,000 STATIONS AT 900 U.S. SITES

1.7 BILLION VIEWING RECORDS EACH MONTH

MOBILE

SURVEYS FROM

500,000+ MOBILE USERS

7 MILLION WEB EVENTS DAILY FROM MOBILE DEVICES

For over 90 years, we have been at the forefront of measuring consumers around the world, helping clients drive better business decisions and profitable growth over time.

We are fortunate to do this with over 44,000 associates with a presence in 107 markets.

Our Own

Associates

Our Clients’

Businesses

Big Data Expertise

World-class Analytics

Action from Insights

Our

people

analytics

journey

Before

2015

Classic Story

of the

Shoemaker’s

Son

Early

2015

Early

2016

Laying the

foundation

First Impact on

the Business

Late

2016

Sharing our

People Analytics

story with others

“I’m not sure where to even begin”

“I’m not sure where to even begin”

Make sure you are answering a critical question for your business

Belief Attrition seems high

Proof One US Bus. voluntary turnover is at XX%,

which is higher than the company average

Business

Case Every point of attrition costs us $5 million

“Estimating financial impact is difficult”

“Estimating financial impact is difficult”

Keep it simple when quantifying the opportunity

# of associates for every 1 pt of attrition

Average salary by level

x

Weighted based on tenure and level

x

Band 1-4 Band 5-6 Band 7-8

<1 year 50% 40% 25%

>1 year 75% 50% 40%

ex:

400

$200k

~50%

“Our data isn’t good enough to work with”

“Our data isn’t good enough to work with”

Start with the data you have, and keep adding to the foundation

Level

150 Variables

Added

Still

improving!

20 Preliminary

Variables

Office

Location

Manager’s

Rating

Demos

Span of

Control

Vacation

Time

Commute

Time ERG

Involvement

NLSN

Cares

“We need to grow our associates vertically”

“We need to grow our associates vertically”

Growing associates laterally is also important to retain talent

MORE LIKELY TO QUIT LESS LIKELY TO QUIT

Career

Movement

Performance

Engagement

Hiring

Relative voluntary attrition likelihood

Promoted

Lateral Move

4 rating (vs. 3-rating)

Manager rating (one point increase)

Client Onsite location (vs. all others)

No rating (not here long enough to receive rating)

“Our end goal is to uncover great insights”

“Our end goal is to uncover great insights”

Focus must be on creating outcomes and driving action

109 40% ½ Project expanded to seven additional countries evaluating over 20,000 employees

8M

“I like that this isn’t just a weather report,

but rather a weather forecast” Vicki Gardner, SVP

Digital Enablement

“I don’t have the resources to do People Analytics”

“I don’t have the resources to do People Analytics”

All you need are basic tools (excel) and passionate associates

“I don’t have the resources to do People Analytics”

All you need are basic tools (excel) and passionate associates

Answer a critical business question

Use the data and resources that you have

Tell a compelling story- and drive action!

1

2

3

Our

people

analytics

journey Feb

2016

July

2016

Women in

Leadership

Analysis

Rehire

“Boomerang”

Analysis

October

2016

Our shoes still

have some holes

in them…

University

Recruiting

Analysis

Strategic

Workforce

Planning

March

2016

May

2016

I think I know