DaaS Case Study

31
FIND AND UNDERSTAND DATA Data to Intelligence: DaaS Case Study Hjalmar Gislason, founder & CEO - [email protected]

description

Slides from Hjalmar Gislason's presentation for the Data to Intelligence consortium in Turku, Finland - August 2013

Transcript of DaaS Case Study

Page 1: DaaS Case Study

F I N D A N D U N D E R S TA N D D ATA

Data to Intelligence:DaaS Case Study

Hjalmar Gislason, founder & CEO - [email protected]

Page 2: DaaS Case Study

F I N D A N D U N D E R S TA N D D ATA

Three lessons fromsucking less over time

Hjalmar Gislason, founder & CEO - [email protected]

Page 3: DaaS Case Study

F I N D A N D U N D E R S TA N D D ATA

Three lessons fromsucking less over time

as a business

Hjalmar Gislason, founder & CEO - [email protected]

Page 4: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Founder and CEO

HjalmarGislason

Twitter: @datamarketSlides: http://blog.datamarket.com/turku/

Page 5: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Numbersdrive our world

Page 7: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Yet, finding, understanding and using data is hard!

Page 8: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

DEMO!

Page 9: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

ProductA SaaS solution that brings together relevant data together in one place

Provides a single, user friendly portal to all this data‣ Search any custom, syndicated and public data in one place.‣ Visualize data to gain insights and understand important information.‣ Compare data from different sources to benchmark and verify.‣ Share with colleagues and engage them in a conversation for

the best possible decision.

Licensed by‣ Data publishers: To deliver data products to their clients

in an interactive and engaging way (white-label)‣ Data consumers: To decrease time and cost accessing

Market Intelligence and maximize MI investments

Page 10: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Product - Data

250+ data providers

55,000+ data sets

300,000,000+ time series

3 billion+ fact values

… and just getting started!

250+

Page 12: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

StatusStill small: 15 people in 3 countries

5+ million dollars in sales

No longer a question of survival, but of growth

... but getting here has takensome experimentation!

Page 13: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Early days:The Bootstrapped

Consultancy

Page 15: DaaS Case Study

109 columnsx

340 lines=

37.060 cells

Page 17: DaaS Case Study
Page 19: DaaS Case Study

One-off projectsvs.

generic product

Page 20: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

What people want to do with data

10 Discover and access

20 Visualize, analyze and understand

30 Share, discuss and act

40 Goto 10

100 END

Let’s make a product that does that!

Page 21: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Plan #1:Google for numbers

Page 22: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Plan #2:Data Delivery Engine forInformation Companies

Page 23: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Plan #3:Data Hub for

Market Intelligence

Page 24: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Internal

External

Historic Future

Strategic intelligence

(forecasts, outlooks,

predictions)

Market Intelligence

(trackers, surveys)

BusinessIntelligence

Corporate plans,

projections & forecasts

Page 25: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Internal

External

Historic Future

Strategic intelligence

(forecasts, outlooks,

predictions)

Market Intelligence

(trackers, surveys)

BusinessIntelligence

Corporate plans,

projections & forecasts

Page 27: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Target Customers

“Fortune 3000”(there is no such thing)

Large and medium corporations

Dataintermediaries

Datapublishers

Market Research and other Information Companies

Targets: 400-600Annual recurring: $100k-$1,000k

Management consulting firms, ad and marketing agencies, ...

Targets: 500-1000Annual recurring: $60k-$1,000

More than $1B revenue Targets: ~3000Annual recurring: $100k-$1,500k

More than $10M revenue Targets: 10,000sAnnual recurring: $10k-$250k

Page 28: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Lesson #1:The same technology can

be many different products

Page 29: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Lesson #2:"Fail fast, fail often"

is bulls**t!

Page 30: DaaS Case Study

| Data to Intel l igence | Hjalmar Gislason | [email protected]

Lesson #3:The more you practice

the luckier you get

Page 31: DaaS Case Study

F I N D A N D U N D E R S TA N D D ATA

Twitter: @datamarket · Facebook: DataMarketE-mail: [email protected]

Hjalmar Gislason, founder & CEO