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Wide data, 

more insights
@hollielubbock
Nov 2018, Social Intelligence
Hello,
@hollielubbock
https://www.slideshare.net/
HollieLubbock/
Thick Data
Big Data Wide Data
Getting started…

Design with data
Thick Data
Big Data Wide Data
Who, what, where, why & how
Customer Service
Reps Interviews
Stakeholder
Interviews
User

Interviews
Thick Data
Ethnography / Diary
Studies
Customer Service
Reps Interviews
Stakeholder
Interviews
User

Interviews
Thick Data
Big Data / Quant
Ethnography / Diary
Studies
Census DataSocial Sentiment
Analysis
Media
Consumption
Patterns
Search Trends Shopping
Patterns
Industry Trends
Customer Service
Reps Interviews
Census Data Shopping
Patterns
Social Sentiment
Analysis
Competitor
Analysis
Stakeholder
Interviews
Pestle Analysis
User

Interviews
Thick Data
Big Data / Quant
Wide Data

Trend Spotting & 

Competitor Analysis
Media
Consumption
Patterns
Ethnography / Diary
Studies
Perceptual &
Experiential
Competitors
Search Trends
Who next
Far future, brand aspiration
and how to grow with them
What
What do we want to say to
her, content framework
How
How do we speak to her. 

Unique tone of Voice
Where
To publish content.

Channel strategy
When
When the content is delivered.

The Publishing model
Who now
Has the biggest potential,
near future and why
8
The type of

insight
Using wide data
“The pace of change has never
been this fast, yet it will never be
this slow again.”
Justin Trudeau, Davos 2018
Industry TrendsCompetitor
Analysis
Pestle Analysis
Perceptual &
Experiential
Competitors
Wide data helps to
understand where the
world is going
Competitor 

analysis
Perceptual
Experiential
D
irect
Perceptual
Experiential
D
irect
Competitor 

analysis
Perceptual
Experiential
D
irect
Competitor 

analysis
Perceptual
Experiential
D
irect
= Experience expectation
Trends
Mega
trends
Macro
Micro
Certainty & longevity
Frequency
Political Economic Social
Technological Legal Environmental
Types of trend
How to find trends
01 Gather sources
02 Save & annotate
03 Search safari
04 Affinity map
05 Sense check
Gather sources
• Buzzfeed
• Wired
• Dense Discovery
• Quartz
• Emarketer
• Gartner
• Econsultancy
• The Hustle
• WSJ
• BBC
• McKinsey
• PWC
• Fjord trends
• Research gate
• Ask Wonder
• Guardian
• Russia today
• China now
• The Times
• App Annie
• Global web index
• AskWonder
• WARC
• Pew Research
• Facebook IQ
• Google trends
• Ngram
• Correlate
• Autofill
• TNS Digital Life
• Consumer Barometer
• Similar Web
• FollowerWonk
• Jungle Scout
• Display Purpose
• NN/g
• UX crunch
• Medium
• Ben Evans
• A16Z podcast
• New Scientist
• L2 inc
• Creative applications
• Business of Fashion
• TED
• Radiolab
• Reply all
• The Daily Zeitgeist
• Insights per minute
• 99% invisible
• Freakonomics
• Geek.om
• Siteinspire
• Fubiz
• Io9
• Nerdcore
• notcot.org
• The next web
• This isn’t happiness
• 90 percent of everything
• F.A.T.
• Super/collider
• Today & tomorrow
• Booooooom
• Tech crunch
• Tech for good
• The economist
• Real Famous
• IRL
• The future of everything
• Design Matters
• NPR
• Reuters
• Strategyzer
• World Economic Forum
• Hackermoon
• Endgadget
• Fastcompany
• Trendwatching
Set up custom google alerts, subscribe, listen, read & watch
Save & annotate
Search safari
Affinity map
`
Cluster & name
Sense check – Is it a trend?
Does it reveal an insight?
Is it gaining momentum?
Do you have 3+ great
pieces of recent evidence?
3
Example trends
https://www.slideshare.net/HollieLubbock/wtf-is-
happening-5-consumer-trends-for-2020-123718002/
02
Experience
expectation
—

Helps you understand how
consumer expectations
have changed
03
Why use
Trends
—

In an era of constant
change, they help
embrace change an
create visions for the
future
01
Builds context


—

Use in conjunction with
big data & thick data. Wide
data provides the wider
world context.
The power of 

wide data

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