Discover Data-Driven Possibilities – 2016 World Tour

Living in, Working with and

Loving Data

Dan Sommer

Senior Director, Market Intelligence Lead

Data Everywhere

Data Everything

1878

to

2011:

None.

2012 on:

• IP address

• MAC Address

• userID

• types of devices connected to the app

• unique ID of the bridge

• usage data

• crash incident data

• the names of your rooms

• names of your accessories

• which room each accessory is located

Data Collectable by Domestic Light Bulb

1.3 Gigabytes Per Hour Driven

275m Wearables sold in 2016

Are we ready?

Not really.

65%

Organisations

where managers

would follow their

gut feel over data

if the data

contradicted it.

Survey conducted by Qlik IAD team, Q3 2015

23%

Organizations

that routinely

check the

outcome of

business

decisions.

Survey conducted by Qlik IAD team, Q3 2015

• 55% Lack of confidence in data

• 51% Too little data

• 39% Disagreements with peers

• 36% Lack of clear outcome from choices

Survey conducted by Qlik IAD team, Q3 2015

Top four issues that delay decisions

Know Thyself

Level 1 Level 2 Level 3 Level 4 Level 5

Optimizing

Managed

Defined

Repeatable

Chaotic

Modelling BI Maturity

20133.65

20163.67

2016 data from a survey conducted by Qlik IAD team, Q1 2016, n=259

Beware of Plateauing An example: Mean BI Maturity Score in India

BI Maturity =

Solid Technology

+ Clear Processes

+ PEOPLE

Data Literacy

“Data literacy includes the ability

to read, work with, analyze and

argue with data.”

http://rahul.connectionlab.org/collateral/Data_Literacy_Workshop_Paper.pdf

A DISTRIBUTED MODEL TO BI

LEADS TO A COMPETITIVE EDGE

Nearly two-thirds of respondents believe that

self-service data analysis creates significant

competitive advantage

Half of respondents believe such an

approach can help to reveal valuable

insights

2/3

1/2

Source: Forbes 2016

Nearly two-thirds of respondents believe that self-

service data analysis creates significant competitive

advantage

A DISTRIBUTED MODEL TO BI LEADS TO A COMPETITIVE EDGE

Half of respondents believe such an approach

can help to reveal valuable insights

2/3

1/2

Data Literacy Haves

and Have Nots

Analytic Culture:

Three Defining Attributes

#1 Data first,

rule-of-thumb

second

#2 Doubt and

questions

encouraged

#3 Governance

not dictatorship

But can we really

change our

culture?

Yes.

It’s going to

happen anyway.

Information Activists

Data

Information Activism = New Opportunity

Data Readiness Literacy Culture Activism

1 2 3 4 5

Result: Drive new data-driven possibilities

In Summary: 5 steps to living in, working with and loving data

Thank You