big data stories: how to do more with data

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BIG DATA STORIES How to do more with data Click me to share

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Page 1: Big data stories: how to do more with data

BIG DATA STORIES How to do more with data

Click me to share

Page 2: Big data stories: how to do more with data

WHAT IS IT ALL ABOUT?Where is the beef?

Drives action!

File and

forget

Not persua

siveInsightData

Tell a story

Present facts

Page 3: Big data stories: how to do more with data

AS YOU CAN CLEARLY SEE…

OR MAYBE YOU CAN’T?

Sales (£k)

Q1 Q2 Q3 Q4

Office A

34.4 32.1 27.7 32.2

Office B

148.6 139.6 144.3 166.5

Office C

305.7 284.4 245.3 377.8

Office D

25.8 29.2 24.9 27.8

Office E

256.7 242.1 212.9 243.0

Office F

68.5 73.3 67.9 84.6

Page 4: Big data stories: how to do more with data

CHARTS OR TABLES?

?

Page 5: Big data stories: how to do more with data

CHARTS OR TABLES?

Charts TablesFewer than 6 data points 7-10 data points More than 10 data points Need to see individual data values Need to show trends over time Need to show the distribution/variation of data

More than 1 independent variable

SOMETIMES YOU MIGHT NEED BOTH

Page 6: Big data stories: how to do more with data

RULES FOR TABLES

anytime / anywhere

Page 7: Big data stories: how to do more with data

TOP TIPS FOR TABLES In presentations,

round the data to “2 effective digits” and use separators

Page 8: Big data stories: how to do more with data

TOP TIPS FOR TABLES Use columns of data

rather than rows; the eye can scan up and down more easily

Put latest data or biggest numbers at the top (unless data is time based)

Page 9: Big data stories: how to do more with data

USING BETTER CHARTS

Avoid common issues

Page 10: Big data stories: how to do more with data

COMMONLY USED CHARTS HAVE A LOT OF ISSUES

A B C D E F G H I J050

100150200250

Product Profitability

Product

Prod

uct

Profi

tabi

l-it

y (£

k)

Page 11: Big data stories: how to do more with data

AND EVEN MORE ISSUES…

9%5%

3%1%

22%

6%

48%

3% 2% 1%Product Profitability

A BC DE FG HI J

Page 12: Big data stories: how to do more with data

A PARETO CHART FOCUSES ON PRIORITIES

G E A F B H C I D J0

50100150200

0%2000%4000%6000%8000%10000%

Total Cum %

Product profitab-ility £k

Cum % Profit

Pareto: the 80:20 Rule 20% of the “causes” accounts for 80% of the results

Page 13: Big data stories: how to do more with data

HISTOGRAMS TELL YOU ABOUT VARIATION

15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 9505

1015

Accounts Receivable (His-togram)

Days to pay Invoices

Freq.

Page 14: Big data stories: how to do more with data

ARE THINGS GETTING BETTER OR WORSE?

02468

10% of Purchase Orders with

errors

Week No.

% E

rror

s

Page 15: Big data stories: how to do more with data

MAYBE IT’S BETTER WITH A BAR CHART?

1 3 5 7 9 11 13 15 17 19 21 23 2502468

10

% of Purchase Orders with errors

Week No.

% E

rror

s

Page 16: Big data stories: how to do more with data

BUT…A MOVING AVERAGE REVEALS TRENDS

02468

10% of Purchase Orders with errors

% PO errors4 Week Moving Average

Week

% Errors

Page 17: Big data stories: how to do more with data

CONTROL CHARTS DEMONSTRATE REAL IMPROVEMENT

1 2 3 4 5 6 7 8 9 10

11

12

13

14

15

16

17

18

19

020406080

100120140160

Improvement

Control

Breakthrough

Page 18: Big data stories: how to do more with data

PURPOSE AND STYLE

Pre-planning and selection

Page 19: Big data stories: how to do more with data

WHY WOULD YOU DO THAT?

Page 20: Big data stories: how to do more with data

WHAT IS YOUR MOST IMPORTANT POINT?

Page 21: Big data stories: how to do more with data

POWERFUL MESSAGE

Make them remember

Page 22: Big data stories: how to do more with data

STORYTELLING Essential in business

Page 23: Big data stories: how to do more with data

DIRECTION AND DRIVE

all about structure

Page 24: Big data stories: how to do more with data

INFORM Chronological

Page 25: Big data stories: how to do more with data

INSTRUCT Sequential

Page 26: Big data stories: how to do more with data

INSPIRE Compare and contrast

Page 27: Big data stories: how to do more with data

SLEEK AND BEAUTIFUL

3 simple design tips

Page 28: Big data stories: how to do more with data

FONTS

CAN YOU READ IT FROM THE BACK?Never apologise for unreadable text – just make it bigger!

Page 29: Big data stories: how to do more with data

FONTS

THIS DOES NOT LOOK PROFESSIONAL

Page 30: Big data stories: how to do more with data

FONTS

AND THIS IS ILLEGIBLE

Page 31: Big data stories: how to do more with data

COLOURS: USE A MONOCHROMATIC SCHEME TO LOOK PROFESSIONAL

15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 950

2

4

6

8

10

12

14

Accounts Receivable (Histogram)

Days to pay Invoices

Freq.

Page 32: Big data stories: how to do more with data

IMAGES

BigBoldNo cheese

Page 33: Big data stories: how to do more with data

USEFUL AND MEMORABLE

What to do about hand-outs

Page 34: Big data stories: how to do more with data

QUICK AND SIMPLE

Your audience deserve it

Page 35: Big data stories: how to do more with data

CALM AND CONFIDENT No nerves

Page 36: Big data stories: how to do more with data

BREATHE: 7/11

Page 37: Big data stories: how to do more with data

BUTTERFLIES

Page 38: Big data stories: how to do more with data

INTERRUPT

Page 39: Big data stories: how to do more with data

VISUALISING

Page 40: Big data stories: how to do more with data

WHAT NEXT? Keep learning

Page 41: Big data stories: how to do more with data

CONTINUE LEARNINGFull day interactive workshops

Business improvement and facilitated collaboration seminars

Specialist 1 to 1/team clinics

Make me an offer I cannot refuse

Page 42: Big data stories: how to do more with data

THANK YOU! – CONTACT US FOR THE FREE WORKBOOK Contact us at: Miriam Gilbert Storytelling with numbers +44 (0) 7834 058 240 [email protected]

Twitter: @MiriamRGilbert LinkedIn: Miriam Gilbert

Contact us at: Ian Seath Improvement Skills Consulting +44(0) 7850 728 506  [email protected]

Twitter: @IanJSeath LinkedIn: Ian Seath

Page 43: Big data stories: how to do more with data

PICTURE SOURCES: Bored presentation, meditating woman, slice of cheese: authors’ own What’s your story: www.freshlygroundproductions.com Starlightbulb: www.lornawestonsmyth.com BBC News reader: www.kcet.org Teacher: www.comccanor.org Nelson Mandela: www.bbc.co.uk Beautiful butterflies: www.fanpop.com Film projector: www.fergregory.blogspot.co.uk/ James Bond: www.bibc.co.uk