The Value of Data

The value of data Data Donderdag

Amsterdam, December 2013

1

3

“Voorspel niets, meet en reageer”

Chris Anderson, The Long Tail

4

The Long Tail

Head

Long tail

Products sorted by # times sold

# o

f ti

mes

so

ld

Bron: ‘The Long Tail’, Chris Anderson

In the past there was a limited number of products responsible for the major part of sales.

Today there are more product that we sell less. All these products now generate the major part of sales.

5

The Long Tail

Availability of production resources for everyone

extends the long tail

Products sorted by # times sold

# o

f ti

mes

so

ld

Bron: ‘The Long Tail’, Chris Anderson

6

The Long Tail

Availability of all products to all consumers lifts the tail

Products sorted by # times sold

# o

f ti

mes

so

ld

Bron: ‘The Long Tail’, Chris Anderson

7

The Long Tail

Matching all niche products with consumers shifts business

from head to tail

Products sorted by # times sold

# o

f ti

mes

so

ld

Bron: ‘The Long Tail’, Chris Anderson

8

The value of data lies in

moving from head to tail

Moving from head to tail

…

by matching products &

customers …

by using data

Value: customers find what they are

looking for with search rank

Value: inspire customers with

product recommendations

Value: a personal shop full of

inspiration for every customer

Value: provide us with explicit

feedback on your personal shop

Sprints

Sto

ries

Val

ue

Value Story points/scope

As stories burn down,

value increases

15 miljoen producten:

geen Big Data

15 miljoen clicks per dag:

geen Big Data

>3.5TB + >20TB > 10.000.000.000 product

combinaties: getting bigger!

Schaalbaar

rekenen:

ieder begin

is klein

19

20

21

22

23

Kosteneffectief en groot genoeg?

24

<schaalbaarheid>

26

Lineair horizontale schaalbaarheid:

klein beginnen, zorgeloos groeien

The value of data

27

• A personal shop for every customer

• Data is required

• Iterative implementation

• On a scalable platform

The value of data

28

• A personal shop for every customer

• Data is required

• Iterative implementation

• On a scalable platform