taking big data visually

March 4, 2014

Charles SayersExperience Innovation

[email protected]

2014 Analytics with PurposeBehavioral Insight to AdvantageSan Diego, California

takingbigdatavisually

what we’ll look at

challenges in data volume and velocity

how we’re wired for sight

creating visual stories

© 2014 SapientNitro

we’re generating a LOT of data

THE REALITY


%of the data in the world today was created in

the last 2 years alone.- IBM -


This is the volume of photos uploaded to Flikrin a single day


we’re generating too much, too fast

THE PROBLEM



we’re accumulating data faster than our ability to understand it

ibm

innovations in wearablesand biometrics will drive a surge in physiological data


a new wave of data is on the horizon


190,000people with deep analytic sills as well as

1.5 millionmanagers and analysts will be needed by

2018 to fill jobs in Big Data


we don’t think in numbers

THE OTHER PROBLEM


this is your brain on drugs,

Any questions?

this is your brain,This is your brain,

an egg a pan a shift

this famous public service campaign signaled a shift in data story telling from numbers and statistics to emotional metaphor


our brains process visual information

times faster than text

,

%of our brains are involved in

visual processing


%sensory receptors

are in our eyes

of all of our

visualizationTHE SOLUTION


helps make data clearer and more engaging


visualizationFOR PEOPLE

helps make data actionable and easier to manage


visualizationFOR BUSINESS

is about asking

an intriguing questionvisualization


visualizationis answered with

contextual data


visualizationis expressed in

an engaging way


are created from one of two perspectives


rational literal quantifiable pragmatic

creative metaphorical relatable emotional

visualizations

are created when you combine the two

insightfulrevealingengaging

visual storyscapes


“Stories are just data with a soul”

Dr. BreneBrownResearch Storyteller

University of Houston


what’s an intriguing question?


do these jeans make me look fat?

BAD QUESTION


do you know why I stopped

you?

TRICK QUESTION


how is the moon like an Oreo cookie?

INTRIGUING QUESTION


where do you find contextual data?


who you arewhat you’re

doing

what you’ve done

who you do it with

retail© 2014 SapientNitro

banking

how much you deposit

how much you withdraw

what ‘s your lifestyle?

how much do you need?

why are you here?


change

what changed?

why did it change?

what did the change change?

what was?


how can data stories engage?


1. collective

2. descriptive

3. adaptive

4. predictive

visual engagement

four types of


payment patents

collectivevisualizations summarize data

interactive timelinethe rei 1440 projectdeltasight.com

modern historyhow search works



consumer intelligencethe consumer barometer

relative timehere is today

retail dwell timehow retailers track you when you shop

descriptivevisualizations share data-driven snapshots

fitness monitoringtictrac

spatial awarenessbritish airways

social mappinggoogle maps

adaptivevisualizations adapt to real time data feeds


life coach financial managercareer advisorthe existential calculator Reporter app for iPhone MoneyWiz personal finance


predictivevisualizations offer the ability to

future-cast and explore conditional scenarios

type of visualization

stor

y co

mpl

exity

complexity of the data will point to the best option for visualization


following a single strand of hairA VISUAL STORYSCAPE


In a world full of mobile savvy shoppers and aisles bursting with hair care products,

how can one box of hair color rule them all?


84% of guests use their smartphone while in a store…but what are they actually doing? Is ‘showrooming’ something to worry about?

data considerations


data divedeploy device activity loggers onto the smartphones of a community of Shoppers to obtain detailed data on use both in-store and out of store

Smartphone use and behavior tracking

Location-based, interactive phone questionnaire


passive infrared sensors and sound collectors

heat sensors collect data on paths, dwell times, entry and exit points, fixture interactions

sound data is collected as a means to understand human interactions

learning environment

smartphone questionnaire

Unobtrusive widget runs in OS background Logs what people do on their phones 24/7 Data pushed to data warehouse for analysis

Helps us understand context and drivers of a trip; ultimately match trip types of to phone behavior and use

contextual continuity

snackable moments


believing what we see isn’t always a good thing

THE CAVEAT


this visualization overemphasizes the impact of non-communicable diseases


http://www.informationisbeautiful.net/visualizations/20th-century-death/This graphic lumps together pneumonia deaths at age 1 with car accidents at age 20, and cancer deaths at 50 with heart disease deaths at 80.

developerhow do we enable

our story?

visualization is a collaborative sport

strategistwhat are the primary and supporting data points to our story?

designerhow do we convey that

story visually?


visualizethis!

ask an intriguing question

gather the right contextual data

make sure your data is clean, accurate and complete

choose the best type of visual engagement

visualize truthfully

collaborate from start to finish



a parting visualization

the life you have in jelly beans

thank youCharles Sayers

Experience InnovationSapientNitro

[email protected] 4, 2014

takingbigdatavisually