ANA02 Visual story telling The key to unlocking the data ...file/Engage2018... · ANA02 Visual story telling The key to unlocking the data gold mine. 2 Robert van den Breemen @rvdbreemen

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ANA02 Visual story telling

The key to unlocking the data gold mine

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Robert van den Breemen

@rvdbreemen

https://nl.linkedin.com/in/rvdbreemen

[email protected]

Femke Goedhart

@femkegoedhart

https://www.linkedin.com/in/femkegoedhart

[email protected]

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The saga continues!

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Time sequenceMultiple Dimensions / AxisesClutteredBusy diagram

But what does it mean?

Report design from 2011 onward

In the beginning… Excel

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To measure = to know!

Tripling of documents on

traditional file shares since 2010

Suspecting of high number

of duplications…

Digital Enterprise

Dutch Tax and Customs

Administration

Lack of insight!

Exponential

Growth?

Users wonder

where to store

files / documents

WHY?

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Different end user devices

unlimited

unlimited

unlimited

unlimited

unlimited unlimitedunlimited

unlimited

unlimited

unlimitedunlimited

unlimited

Always, unlimited,

everywhere available

Data is everywhere

is stored on multiple locations

is unfindable

is never deleted

Data grows and grows…..

Data is not accessible on mobile

Data is lost

Data is created multiple times

Different locations (anywhere)

Data growth the Enterprise reality?!

The need for…

WHY?

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So where do we store our files?

FileserversEOL, EOC

Home directory,

profile

Shared folders

Application data

1,2 billion files450 servers2.000 TB storage

Classical Windows

Fileshares

> 1,5 million files2 serversSome 2 TB storage

IBM Connections

(incl. Libraries)

40.000 users30 servers7.000 team mailboxes500 TB storage

Mailboxes, Team

mailboxes and mail

archive

Xxxx millionsdocumentsSome serversXxxx TB storage

Document

management (ECM)

Scope of the current project

30.000+ laptops/desktopsUnknown files (±100.000)Unknown amnount of storage

Local files on laptops /

desktops

WHAT?

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+

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Collections

of the metadata FileserversEOL, EOC

Home directory,

profiel

Samenwerkings

Gebieden

Applicatiedata

Process

Exploration of the

Collected meta-data

Insights

Fact-based decisions

and strategy’s

1. Technical measures (cost saving potential, de-duplication, application)

2. Information for lines of business (accountable)

3. Change the user behavior

(adoption strategy)

To measure = to know! To see is to believe!

To understand,

means you can do something!

To discover what you did not know…

HOW?

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The Perfect Storm

2017

GDPR

Dataleaksin the news(breaking news)

Court orders todelete images of ”Licence plates"

Cleaning up the Network Shares

FRA

Retention

laws

Idenitifyingshadow IT

Applicationrationalisation

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To see is to know!

Are we ready for GDPR?

Increasing need

for Insight!

Deeper insight needed!

Digital Enterprise

Dutch Taxs and Customs

Administration

Can we delete the licence plates?

NOW

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Collect dataVisual

ExplorationRefine

Create

Report

Data

Graph

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Initial findingsTrying different thingsDiscover

Relative meaning

What is the relation here?

Results from Visual Discovery Phase

Report design from 2016

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My inspirational moment: Hans Rosling

Source: TED talksWebsite: https://www.gapminder.org/

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“It hit me...”

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Collect dataVisual

ExplorationRefine

Create

Story

Visual

Story

From Reporting

To Storytelling

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Story building

Domain knowledge

Processing skills

Story

Telling

Domain knowledge

Design

skills

Data Engineering

skills

Exploration

“I know how tovisualize”

“I know how towork with data”

“I know what theoutcome shoud be”

+

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Building the visual story

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Start at the beginning...

WHO is your audience WHAT is your call to actionWHAT is your medium

HOW are you visualizing it

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• Invites to explore

• Offers insight directions

• Promotes discussion and exploration

• Invites to learn

• Offers directed insights

• Often leads to a conclusion or action

Exploratory vs Explanatory

Leads to better

decision making

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Exploratory Example

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Explanatory examples

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A few pointers for design….

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High quantative perception

Low quantative perception

Which type of graph to use

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Preattentive processing

Source: Design for Information: An Introduction to the Histories, Theories, and Best Practices Behind Effective Information VisualizationsIsabel Meirelles

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The usage of colors as preattentiveattributes

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• Titles/subtitles

• Labels

• Callouts

• Legends

• As a graph

Text is your friend!

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Hard to quantivy dimensions (3D!)

No preattentive attributes (color use?)

What am I looking at…(no text)?

What to avoid…

Image source: https://stackoverflow.com/questions/22369224/3d-pie-chart-in-highcharts-javascript

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An exampleACME INC wants to know if they can justify a Enterprise SocialNetwork based on the files storage in their current systems

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A lot of data… But no story

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Lets get started

• Sorting

• Color use

• Remove obsolete elements

• Grouping (“Other”)

• Type of graph

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Let’s refine it

• Change orientation & collate

• Remove obsolete elements (Legend)

• Smart labeling

• Take out grid lines

• Take out unnecessary column headers

• Add tooltips

• Take out legend

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Let’s bring it all together...

• Add titles, explanation and “Call to action”

• Take out everything that isn’t necessary

• Zig-zag structure

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Data Storytelling:

data in context telling the story

Data Visualization:

mapping data on a graph

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With insight… … time for action!

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Leasons learned…

• The data must find the data and the relevance must find you

• Visualization is easy and key to excite users, however visual storytelling is hard

• Iterate, iterate, iterate, keep an open mind!

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Our next steps

Back to the original data goldmine idea:

• Bring more meta-data into the mix than just file meta-data, for example mail-interactions, phone-records, chat-interaction, ESN data, USB use, applicatoin usage data, etc.

• Start to mine the file-content with content analytics. To build a GDPR scanner and classify documents in business relevant classes to enable archiving.

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Questions?

Robert van den Breemen

@rvdbreemen

https://nl.linkedin.com/in/rvdbreemen

[email protected]

Femke Goedhart

@femkegoedhart

https://www.linkedin.com/in/femkegoedhart

[email protected]

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The END