managing traveler attrition

7

Click here to load reader

Upload: scott-gillespie

Post on 20-Jun-2015

183 views

Category:

Business


1 download

DESCRIPTION

Too much travel causes valuable employees to burn out. tClara describes its process for predicting traveler attrition before it happens - and what companies can do to prevent it.

TRANSCRIPT

Page 1: Managing Traveler Attrition

Travel Data Made Brighter A Gillespie+Diio Venture

Managing Traveler Attrition Using Predictive Analytics

November 2014

Page 2: Managing Traveler Attrition

Companies spend about

the same on

travel as they

do on

turnover:

1-3% of revenues Source: “Retention of Key Talent and the Role of Rewards”, Scott, Hay Group, June 2012. tClara analysis

Attrition cost per employee is between

50% and 200% of the

employee’s annual compensation

Travel Data Made Brighter

A Gillespie+Diio Venture

Page 3: Managing Traveler Attrition

Frequent Travel is Correlated with

Higher Turnover

3 Travel Data Made Brighter

A Gillespie+Diio Venture

3% 3%

7%

11%

16%

Low Travel Moderate Travel

Frequent Travel

High Travel Very High Travel

Illustrative Traveler Attrition Rates

Source: tClara studies covering ~3,900 travelers from multiple clients over a multi-year period

Page 4: Managing Traveler Attrition

Less Travel

Easier,

Safer,

Healthier Travel

Trip Bonuses

Recognition,

Engagement,

Gamification

Counseling,

Better

Recruiting

Traveler

Retention

Strategies

Tiered Policies Traveler-specific

Travel Data Made Brighter

A Gillespie+Diio Venture

Many Travel-specific Retention

Options Are Available

Page 5: Managing Traveler Attrition

Start by Getting Highly Actionable

Analytics Within 3 Weeks

5 Travel Data Made Brighter

A Gillespie+Diio Venture

Traveler

Data

tClara’s Trip

Friction®

Analytics

Analyze

Past

Attrition

Predict

Future

Attrition

Trip Friction

Benchmarking

Each current traveler,

rated by risk of travel-

related attrition

Recommendations for

reducing traveler wear

and tear

Page 6: Managing Traveler Attrition

Begin Managing Traveler Attrition

Much More Proactively

6 Travel Data Made Brighter

A Gillespie+Diio Venture

0

10

20

30

40

50

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Number of Travelers Who Quit Forecast Actual Goal

Traveler Risk

Score

Risk

Trend

D. Okamoto   10

Z. Pinkston   10

A. Eagan   10

B. Haapala   10

R. Lunn   9

J. Toon   9

R. Rollman   9

K. Maier   8

D. Kephart   8

Page 7: Managing Traveler Attrition

Travel Data Made Brighter A Gillespie+Diio Venture

For more information, contact

Scott Gillespie [email protected]