from insight to impact (chicago summit - keynote)

Post on 12-May-2015

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DRAFT – NOT FOR DISTRIBUTION

Twice as likely to be in the top

quartile of financial performance

within their industries.

Three times more likely to

execute decisions as intended.

Five times more likely to make decisions faster.

Leading Analytics & Data Science Companies:

Most Fall Short

55% Of projects fail. WHY?

• Align with corporate strategy

• Ignite stakeholder engagement

• Sharpen team focus

• Drive change management

• Recruit key talent

Five Critical Pillars of Success

Analytically

Impaired

What happened

In our business?

5 Align with Corporate Strategy

Localized

Analytics

What can we do

to improve this

activity?

Analytical

Aspirations

Can we

extrapolate

existing trends?

Analytical

Companies

How can we use

analytics to

innovate and

differentiate?

Analytical

Competitors

How do we stay

ahead? 1 2

3 4

Competing on Analytics

Framework

Align with Corporate Strategy

Impact area

Impact horizon

GR

OW

TH

E

FF

ICIE

NC

Y

SHORT TERM LONG TERM

Analytics Opportunities Prioritize Framework

Factory

Logistics

Shipping

Procurement

Ignite Stakeholder Engagement Why important? Anatomy of an Analytics Project

Realize

Impact

Impact

becomes

known

Opportunity

Framing

Analytics &

Modeling

Data

Collection &

Conditioning

Tools

Building Implementation Experiments

Big Opportunities Select Winner Impact

Impact = Guess

Too many unknowns

Test multiple variables

Impact precision increases

Analytics Team

Responsibility

Ignite Stakeholder Engagement

• Spending time with stakeholders

outside of meetings (e.g. lunches

and dinners)

• Understand stakeholder incentives:

what gets them their bonus?

• Align output (insights) with

stakeholder incentives

• Recast team incentives

Your role in communicating strategy to company?

Leveraging executive evangelists and sponsors.

Sharpen Team Focus The Analytics Project Pipeline

Theme Stage Importance Urgency

Framing Stage 25%

Reducing

expenses by

optimizing

supply chain

Data

Collection

Medium High

FTE allocation

25%

Implementation Stage 10%

Analysis Stage 35%

Data Collection Stage 30%

Strategic Theme 1 45%

Other 5%

Strategic Theme 2 30%

Strategic Theme 3 20%

Sharpen Team Focus

No Zombies

Sharpen Team Focus

Data

Infrastructure

and Talent

Drive Change Management Enablement: the power of business experiments

Design

Experiments

Gather

Data

Analyze

Results

Hypothesize

Run

Experiments

Drive Change Management

Fast fail mentality; pivoting

Change

Management

“You miss 100

percent of the shots

you never take.” -Wayne Gretzky

Recruit Key Talent

• Why Work for Your Team?

• Pre-screen Technical Skills

• Fit with Company Culture

Richard Wendell

@rewendell

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