Hi ! I’m FLORIAN DOUETTEAU, CEO of Dataiku

x 54 +

x 1+

+

58++

It’s Me !!

It’s our software !!

…and our software is

The most complete Data Science platform

Deployment

Dataiku - Data Tuesday

Meet Hal Alowne

Big Guys

• 10B$+ Revenue

• 100M+ customers

• 100+ Data Scientist

Hal AlowneBI Manager

Dim’s Private Showroom

Hey Hal ! We need

a big data platform

like the big guys.

Let’s just do as they do!

‟

”Average E-commerce Web site

• 100M$ Revenue

• 1 Million customer

• 1 Data Analyst (Hal Himself)

Dim SumCEO & Founder

Dim’s Private Showroom

Big Data

Copy Cat

Project

Technology Disconnect

5

Welcome to Technoslavia !

LOL PLATFORM ANTI-PATTERN

Test and Invest in Infrastructure == Skilled Peopleor

Go For Cloud / Packaged Infrastructure

Your Brand New Hadoop Clusteris perceived as slow, not so used and not reliable

TECHNO MISMATCH ANTI-PATTERN

Assume Being Polyglotor

Be a Dictator

VS

VS

The PythonClan

The RTribe

The Old ElephantFraternity

The New ElephantClub

PREDICTIVE ANALYTICS DEPLOYMENT STRATEGY

Website 2000’ winners

Companies that were able to release fast

"Artificial Intelligence with Data for Internet of Things" 2010’ winners

Companies able to put intelligence in production

?

Design a way to put “PREDITICTIVE MODELS” IN PRODUCTION

PEOPLE DISCONNECT

10

Classic Business Intelligence Team Organization

Business Leader

Data Consumer

Line-of-business

Data Consumer

Business Project

Sponsor BI Solution Architect

Model Designer

ETL Developer

Dashboard / Report Designer

DBA / IT Data Owner

Specs

Data Science Team Organization

Business Leader

Data Consumer

Line-of-business

Data Consumer

Business Project

Sponsor Data Team Manager

Data Engineer

Data Analyst

Data System Engineer /

Data Architect

Specs

Data Scientist

Built From Scratch

Business Leader

Data Consumer

Line-of-business

Data Consumer

Business Project

Sponsor

DBA / IT Data Owner

Specs

DATA SCIENTISTS EVERYWHERE

Built From Engineering

Business Leader

Data Consumer

Line-of-business

Data Consumer

Business Project

Sponsor

Specs

DATA ENGINEERS

DATA ANALYSTS

Built From Analysts

Business Leader

Data Consumer

Line-of-business

Data Consumer

Business Project

Sponsor

Specs

Manage Expectations

Data

Plumberer

Data

Engineer

Data

Scientist

Data

Waiter

Data

Cleaner

Data

Analyst

REAL

JOB

DREAM

JOB

Perfectly Natural Hidden thoughts

Business Project

Sponsor

Data Team Manager

Data EngineerData Analyst

Data Scientist

Managing Extreme Personalities

Data SCIENTIST

Highly Creative

Passionate

Hard to hire ?

Hard to manage ?

Want to take your job ?

Ambitious

Paired for Data

Data Analyst

Discover Patterns

Data Engineer

Make things work

Fight

data

entropy

Entropy

tech

entropy

When do you prefer ?

One Analyst

One EngineerOne Data Scientist

That work together ?

Four data scientists

Data Disconnect

21

What is the main reason for data project to fail ?

DATA

NOT AVAILABLE

BUT FOR ONLY INCREMENTAL GAIN

50 30 20

0% 25% 50% 75% 100%

Contribution to the overall project performance

Business Goal Definition and Data Feature Engineering Algorithm

How to Get Data if you don’t have it

THE GRASSHOPER THE SPIDER THE FOX

The Cicada : Optimistic and Opportunistic Data

THE CICADA

As a startup

As a group inside a company

- Build a new product using open data

- Benefit from the data sharing initiative within your company

- Wait for data to be available in your data lake

The Spider: Power of the Network

THE SPIDER

As a startup

As a group inside a company

- Create a network of (web trackers | sensors)

- Make it available for free

- Build your service on people’s collected data

- Make a web service available to collect data

- Promote it internally so that people use it

The Fox: Hunt for the Big Money first

THE FOX

As a startup

As a group inside a company

- Hunt for a Business Group within a large company with a problem

- Build a SaaS solution using their data

- Replicate to competitors

- Take in a charge a critical problem as per the CEO’s request

- Build your own integrated tech team to solve it

- Use those ressources to reset data services internally

29

PRODUCT DISCONNECT

What is Big Data about ?

The Age Of Distributed Intelligence

Global, Personalised and Real Time Data Driven Services

Data to Visualize or Data to Automate ?

2013 2014 2015 2016 2017 2018

Automated Decision VIsualize To Decide

Moving to a world of automated decision making

Involve product team

Product FeaturePersonalised Item Ranking

Product FeatureNotify User Only when Needed

Product Feature:Historical Data For Path Optimisation

Have Product Management Deeply Involved In the Data Team

Where is your added value ?

Is the problem at the Core of my Business Process?

Is it a common problem / with share data ?

Go for Best of Breed SAAS

Solution

Can I Solve it on my own ?

Really ?

Build by the data team

Build by the data team ?

Build by the data team

Hire Consultants and Learn

Yes

Yes No

I can’t Ok, I can try

Yes!

No!

No

Be aware of the confort zone

Mission

Critical

Small

StructuredLarge

Diverse

Sheer

Curiosity

Reporting

for Finance

in Any Industry

Analyze

Each Tweet

Web Navigation

For E-Merchant

Ticket Data

For Discounts

in Retail

Phone Call

Logs for Security

RTB Data

For Advertising

Customer

Consumption

For Anti-Churn

in Utilities

Optimization

Filings

For Fraud

in Insurance

Not Enough

Data To Learn

From ?

Not Enough

“Hard" Examples

So that you can learn

Create an "API" Culture

Do not share

• Random Piece of Code

• Flat File

Do share

• Reproductible documented workflows

• Clean, documented APIs

Food for thoughtswww.dataiku.com/blog

Free Data Science Software

www.dataiku.com/dss

THANK YOU !

Data Science

Is no longer a science