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1 Data Storytelling Turning Data into insights and value Based on presentation by Brent Dykes on Data Storytelling: https ://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015 Leveraging Data Conference, June 7, 2017

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1

Data StorytellingTurning Data into insights and value

Based on presentation by Brent Dykes on Data Storytelling:https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

Leveraging Data Conference, June 7, 2017

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Rachel ArrezolaDeputy Director,

Communication and Planning

CA DEPT. OF MANAGED HEALTHCARE

Savita Farooqui

CEO

SYMSOFT SOLUTIONS

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Problem Solution Example DIY

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Disengaging Data

Problem

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2500+ Open data portals Around the world

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80% data hidden within organizations

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Lots of data… what about insight? value?

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Data Storytelling

Solution

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ILLUSTRATION CREDIT: http://circlesfordialogue.com/author/arabella/

LOGIC EMOTION

We hear statistics… …But we feel stories.

Decisions?

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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“SHIELDS UP”

Critical & skeptical

DATA

Dry, factual arguments

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“SHIELDS DOWN”

Emotionally moved

STORY +DATA

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PHOTO CREDIT: http://projourno.org/2013/10/how-sex-and-google-glass-will-save-us-meet-the-naked-environmentalist/

Understandable Engaging Memorable Persuasive Viral

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Data storytelling can engage citizens to:

• Exercise

• Save Water

• Vote

• Participate

• Give

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Data Storytelling in Action

Examples

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What is Data Storytelling?

Data Presentations Visualizations & Infographics Reports & Dashboards

A structured approach for communicating data insights more effectively to an audience using narrative elements and data visualizations

It depends…

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Funding requests:

Elevic, E $125/moAdiel, C $130/moDorjee, P $125/moKenh, S $100/mo

Upcoming Events:

All-around, individualVaultAll-around, individual

Team, portable apparatus

Transportation assistance:

65-74399 2.1mi65-60021 2.8mi67-41998 3.3mi67-15345 4.0mi

Smart businesses leverage data storytelling

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Department of Managed Healthcare (DMHC) Health Plan Dashboard

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Create a Story with Data

How to

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3 Keys to Data Storytelling

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Data

Narrative Visuals

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Data

Narrative Visuals

Explain

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Data

Narrative Visuals

Enlighten

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Data

Narrative VisualsEngage

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Data

Narrative Visuals

EnlightenExplain

Engage

CHANGE

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Start with Credible and Quality Data

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Data

Narrative Visuals

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Data Strategy

› Data Sources

› Data Quality

› Data Cleansing

› Data Governance

› Data Standards

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From Data to Insight

› What is the data telling us?

• Data integration, analysis

• What is the purpose of the analysis?

• What patterns emerge?

› Is data helping with decision making?

• Right answers start with right questions

• Who is the audience?

• What decisions will be made based on the analysis?

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How to structure a Data Story

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Data

Narrative Visuals

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Character Growth

Climax

Falling Action

Resolution

Conclusion

Inciting Incident

Introduction

Rising Action

BEGINNING MIDDLE END

What is the Story Structure?Freytag’s Pyramid or Story Arc

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Audience’s insightsinto the business

are explained

Aha Moment

Solution andNext Steps

Set-up

Rising Insights

BEGINNING MIDDLE END

Structuring DataWithin a Story

Identify main problemor opportunity

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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How to Prioritize What Datato Show in Your Story

• What will give your audience adequate background and context?

• What will grab your audience’s attention?

Aha Moment Solution & Next StepsSet-up

12 3 4

• What other insights contribute to the main story?

• What findings were unexpected or surprising?

• What questions can be preemptively addressed with data?

• What can be removed without hurting the story?

• What is the main takeaway of your analysis?

• Can the impact be monetized/valued?

• What condition do you want your audience to draw from your analysis?

• What supplemental data will help with decision making?

• Are there different solution options that need to be compared?

Rising Insights

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Audience’s insightsinto the business

are explained

BEGINNING MIDDLE END

Structuring DataWithin a Story

• Explanatory focus• Linear sequence• Narrative elements

Main Point

VisualsSet-up

Rising Insights Solution & Next Steps

1

2

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Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Who is your story’s hero?

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Help your audience find key insights with data visualizations

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Data

Narrative VisualsEngage

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Help your audience discover the key nuggets

PHOTO CREDIT: https://www.flickr.com/photos/rma1174/

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Six Tips for Better Data Visualizations

Identify the right data insight1

Choose the right visualization(s)2

Calibrate visuals to your message3

Remove unnecessary noise4

Highlight what’s important5

Make it easy to consume6

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Identify the Right Data Insight1

0

200000

400000

600000

800000

1000000

1200000

1400000

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Revenue Visits

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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0

200000

400000

600000

800000

1000000

1200000

1400000

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Revenue Visits

Identify the Right Data1

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Revenue per visit (RPV)

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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0

200000

400000

600000

800000

1000000

1200000

1400000

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Revenue Visits

50

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Identify the Right Data1

Revenue per visit (RPV)

RPV (Other BUs)

CONTEXT

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Choose the Right Visualization(s)

2

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Choose the Right Visualization(s)

2

Facebook32%

Twitter29%

YouTube25%

LinkedIn9%

Google+5%

Facebook

Twitter

YouTube

LinkedIn

Google+

0 10 20 30 40

“OK” BETTER

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Calibrate visuals to your message

3

“WAIT A SECOND?!”

20132011 2012

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Calibrate visuals to your message

3

0

5

10

15

20

25

30

35

40

45

2011 2012 2013

0

10

20

30

40

50

60

70

80

2011 2012 2013

0

2

4

6

8

10

12

14

2011 2012 2013

70% 200%

33%

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Remove unnecessary noise4

Jan-00

Dec-68

Nov-37

Nov-06

Oct-75

Oct-44

Oct-44

Oct-44

Oct-44

2007 2008 2009 2010 2011 2012

Jan-00

Dec-68

Nov-37

Nov-06

Oct-75

Oct-44

Oct-44

Oct-44

2007 2008 2010

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Highlight what’s important5

0

500000

1000000

1500000

2000000

2500000

3000000

3500000

2010

Change in storage

+30%

-50%

-10%

GOT IT!

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Make it easy to consume6

Jan-00

Dec-68

Nov-37

Nov-06

Oct-75

Oct-44

Oct-44

Oct-44

2007 2008 2010

ReservoirStorage (AF)

Max. Capacity

Normal year

High rain year

Low rain year

Based on: https://www.slideshare.net/webanalisten/brent-dykes-data-storytelling-conversion-hotel-2015

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Draw the audience in your analysis – use interactivity

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Intuitive Data Exploration

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To re-cap…

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Data Storytelling

› Data-driven

› User-centered

› Engaging

A structured approach for communicating data insights

Data

Narrative Visuals

EnlightenExplain

Engage

CHANGE

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Data; Cold, distant, impersonal.

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Access Insight Information Inspiration

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(916) 567-1740

[email protected]