PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
The power of analytics for better and
faster decisions
27 June, 2016
WEF Annual Meeting of the New Champions

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
PwC’s 2016 Global Data and Analytics Survey
Big DecisionsTM
Why
• Strategic decisions create
value for an organisation.
• Decision-makers are now
face-to-face with an
opportunity to learn from
massive amounts of data.
• How can we apply data
analytics to create greater
value?
Who
• 2,100+ senior decision-
makers
• 50+ countries
• 15 industries
2
What
• What types of decisions will
you need to make between
now and 2020?
• What types of data and
analytics do these decisions
require?
• What is the role of
machines in decision
making?
• What’s your ambition for
improving your company’s
decision speed and
sophistication to make
these decisions?

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
90% of respondents think their next strategic
decision will increase shareholder value,
ranging up to a 200% increase.
3
What is a big decision?

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
Approximately 1/3 of business leaders plan to make decisions
around the development of a new product or service by 2020
4Note: Survey data is still being collected and final results may change.
Which one of the following best describes this key strategic decision?

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
Polling question
Which of the following best
describes decision-making in
your organisation?
1. Highly data-driven
2. Somewhat data-driven
3. Rarely data-driven
5PwC

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
The landscape is changing
6
ChinaGlobal
Developing or launching new products and services Entering new markets
Highly data-driven
Somewhat data-
driven
Rarely data-driven
… and data-driven companies are making these strategic decisions
A high percentage of companies consider themselves data-driven…

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
Sophistication
Low High
LowHigh
SpeedSpeed
• Time to answer
question
• Time to decide
action
• Time to implement
and measure
Why look at decision speed and sophistication?
Improving both can help maximise return on investment
7
Sophistication
• Analytics maturity
• Data breadth and
depth
• Decision approach
PwC’s Decision Sophistication & Speed Matrix
(n=# of decisions)

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
Ambition is high to improve decision speed and sophistication
Orange shows today; blue shows where companies want to be by 2020
8
Global China

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
Capabilities vary by country for speed and sophistication…
9
Low High
LowHigh
Speed
Sophistication
High
LowHigh
Speed
Sophistication
Low Low High
LowHigh
Speed
Sophistication
Low High
LowHigh
Speed
Sophistication
Low High
LowHigh
Speed
Sophistication
LowHigh

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC 10
LowHigh
Speed
Low High
Sophistication
Government and Public Sector
LowHigh
Speed
Low High
Sophistication
Insurance
LowHigh
Speed
Low High
Sophistication
Technology
… and the same is true for industries
The Insurance industry is known for advances in analytics. Compared with
other sectors, they give today’s capabilities only modest marks.

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
Polling question
What is more critical to you?
1. Improve speed in decision
making
2. Improve sophistication of
analysis
11PwC

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
Everyone will fall short of their ambition – but less so in China
12
ChinaGlobal
Existing
Likely in 2020
Needed in 2020

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
A significant role for machines is emerging and companies are
taking advantage of what machines offer
Why?
Machines don't replace human judgment but
the right mix of mind and machine can reduce
the impact of human bias, yield more
accurate answers and de-risk the decision -
even for complex problems.
13
What will the analysis
informing your next decision
require?
41% Machine analysis/algorithms
59% Human judgment

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
Companies can de-risk decisions by using machines
14
ANALYSIS
Reliance on Judgment vs. Machine Analysis
by Risk Profile
(n= # of Decisions)
Known Manageable...Unknown, Uncertain
RISK
MachineAlgorithms....HumanJudgment
Global

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
The use of human judgment and machine algorithms varies by
country
15
United StatesChina Japan
UK Germany

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
The survey reinforces that data driven companies are using
machine algorithms more pervasively…
16
Global
Human Judgment
Machine Algorithms

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
…and also shows that data driven companies are much more
likely to be using predictive and prescriptive analytics.
17
Predictive
Prescriptive
Diagnostic
Descriptive
ChinaGlobal

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC
What limits decision-making?
Decision-makers say it’s not data or the ability to analyse it
18
Decision-makers feel least constrained by…
• Ability to analyse data
• Data limitations
These areas hold them back more…
• Availability of resources
• Budgetary considerations
• Issues with implementation
• Leadership courage
• Operational capacity to act
• Policy constraints/regulation of data
• Poor market response

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
PwC 19
What we’ve learned
• More and more organisations are taking a data-driven
approach to making strategic decisions. Are you?
• Data-driven organisations are using machines to de-risk
their decisions.
• Executives have great ambition to increase decision speed
and sophistication.
• But, everyone expects to fall short of their ambition. What’s
your expectation?
• Organisations face many limitations in their decision
making, however data and the ability to analyse data are the
least of their concerns.

PwC‘s Global Data and Analytics Survey 2016: Big Decisions™
This publication has been prepared for general guidance on matters of interest only, and does not constitute professional
advice. You should not act upon the information contained in this publication without obtaining specific professional advice. No
representation or warranty (express or implied) is given as to the accuracy or completeness of the information contained in this
publication, and, to the extent permitted by law, PricewaterhouseCoopers LLP, its members, employees and agents do not
accept or assume any liability, responsibility or duty of care for any consequences of you or anyone else acting, or refraining to
act, in reliance on the information contained in this publication or for any decision based on it.
© 2016 PricewaterhouseCoopers LLP. All rights reserved. In this document, “PwC” refers to PricewaterhouseCoopers LLP
which is a member firm of PricewaterhouseCoopers International Limited, each member firm of which is a separate legal
entity.
Thank you
For more information visit, www.pwc.com/bigdecisions
Continue the conversation with us online, follow:
Dan DiFilippo, Global and US Data and Analytics Leader, @DanDGlobal
PwC Advisory Services, @PwCAdvisory
21