Low cost industrialization for PPP Analytics

Low cost industrialization for PPP

Analytics ?

Paris21-OECD 18 Dec 2015

Nicolas de Cordes - Orange

2

The need for a radical solution

An analogy

Open Algorithms for NSO

3

Many project today demonstrate the potential of using

Mobile data to produce new indicators and new usages

Innovation in epidemiology of Malaria • Policy impacts ?

• Operational management usages?

Innovation in measuring Poverty • Policy impacts ?

• Operational management usages?

4

…but today’s situation is not optimum

Developing new indicators based on Private company’s (big)data is

suboptimal…

Often an artisanal solution

Dependant on unclear process and decision makers

Slow

Proprietary algorithms , lacking of knowledge/IP sharing

Difficult to accumulate knowledge somewhere and build on it for the next

country

Lack of trust…or simply risk aversion to try something by private parties

Unclear cost

Unclear revenue models

Unclear community to address the questions

Lack of standards

…

How would it look like… if we could radically redesign it?

5


An analogy


6

Can we invent the IKEA of big data ?

7

IKEA success formula

Low Cost/

great value

for money

and Design

driven

and even Hackable…

Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get

Staging the

products like

Use Cases

Customisation

that brings

margins

8

9


Low Cost/

great value

for money

and Design

driven


Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get

Staging the

products like

Use Cases

Customisation

that brings

margins

10

11


Low Cost/

great value

for money

and Design

driven


Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get lost…

Staging the

products like

Use Cases

Customisation

that brings

margins

12

13


Low Cost/

great value

for money

and Design

driven


Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get

Staging the

products like

Use Cases

Customisation

that brings

margins

14

15


Low Cost/

great value

for money

and Design

driven


Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get

Staging the

products like

Use Cases

Customisation

that brings

margins

16

17


Low Cost/

great value

for money

and Design

driven


Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get

Staging the

products like

Use Cases

Customisation

that brings

margins

18

19


Low Cost/

great value

for money

and Design

driven


Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get

Staging the

products like

Use Cases

Customisation

that brings

margins

20

21


Low Cost/

great value

for money

and Design

driven


Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get

Staging the

products like

Use Cases

Customisation

that brings

margins

22

23


Low Cost/

great value

for money

and Design

driven


Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get

Staging the

products like

Use Cases

Customisation

that brings

margins

24

25


Low Cost/

great value

for money

and Design

driven


Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get

Staging the

products like

Use Cases

Customisation

that brings

margins

26


An analogy


27

Concept: Open Algorithm for NSO - OANSO

Launch an Open Algorithms platform for NSO initiative

─ a Open Software platform that runs on a private company’s

anonymous data, in a secured way (ex: behind their firewalls)

─ using Open algorithms to extract standard KPI’s and publish

results in a responsible way

28

OANSO platform enables a Statistics office to get

indicators build on private data

local N.S.O.

OANSO

OANSO

local Telco XYZ

local Bank ABC

Price

index Poverty

index

Pop

density

Algorithm

Certification • Int’l Stat Office

• Academics

• Crowds

Local OANSO

governance body

multistakeholder

s

Latest

Certified

Algorithms

with

Safety key

OANSO

OANSO

local Retail XYZ

Food

index

29

OANSO organising principles

The OANSO is an Open software initiative

─ ensuring accessibility for NSO’s, cost efficiency and expertise building

The Algorithms (per indicator) are Open, to build Trust and expertise

─ enabling knowledge accumulation over time in the scripts of the algorithms

─ enabling control and certification of quality, run-time efficiency, privacy and « no

harmful code » by trusted parties (ex: Eurostat,…) or the expert Crowds

The software runs within a company premise (ex: behind a Telco’s firewall)

─ no data are being copied and send around, making it safe for competition and

privacy

─ only pre-agreed aggregated results of algorithms are exported

The platform embeds Governance rules for PPP

─ proposing mechanism for management, privacy, data access & usages control

(opt-in, opt-out, ethic committee, etc). Might be defined per class/risks of products

30

Platform overview

Build on a low-cost Open

platform approach

Has Distributed components:

NSO, Algo-Verification, Private

sides

Manage version so that it start

with data in batch, with minimal

business integration

Structure algorithms to be

parametric and re-usable

between countries

Enable outputs outside of

premises only on Certified

algorithms

Build-in security, privacy &

governance controls (acces

control, audit trail of algorithms

uses, etc.)

IN

Data

Prepa

-ration

OUT

API’s

Data-

Viz

Pay-

ments

Management

(access, billing, audits, versions, backup…

)

Algorithms Work zone

An

on

ym

ou

s D

ata

(CD

R’s

an

d/o

r p

rob

es e

tc)

Research

SandBox

Certified Algorithms

Private Company

Firewalls

Trust Keys

Users: NSO +

NGO,Entreprises,

Ministries, Devt’,

Communities,…

Predefined

outputs

Partners Datas:

Surveys,

statistiques,

capteurs M2M,…

Input

Data

Open Algo. for NSO

Company’s Algo Certified Algo

Exte

rn–

In

tern

Mix

ed

Pla

tfo

rm

We could launch a Beta version end of 2016, with an

Algorithm Challenge on key indicators

2015

conception

Davos

Cross country Challenge on

Top 5 algorithms on the

V.Beta

Idea

Q4

2016

28/09

Glob Part

COP

21

Q2 Q1 Q3 Q4

18/12

Paris21

24/10

WEF

…

2017

Q1

Event

OANSO set-up: Governance, process

development V. Beta, communication OANSO development V.1.0

Launch.

V. Beta &

Challenge

V.1

Challenge Set-up

Africa: Senegal, Ivory Coast

LatAm: Columbia, …

Asia: tbd ?

EU, US? later

Funding

secured

Kick-off

32

Open Algorithm for NSO success formula

Low Cost/

great value

for money

and Design

driven


Support

services from

partners

Great

logistics,

through

packaging

and inventory

Modular

Products with

Standard

parts that

improve

Rely on the

User

Abundant,

Big, easy to

explore, and

to get

Staging the

products like

Use Cases

Customisation

that brings

margins

Open

software

&

Algorithm

« as a

Product »

API’s and tools for the

community

Support

services from

partners

Downloadable

with

repository of

latests

versions

Standardised

shells/Open

Algorithms

and data layer

NSO

involvement

to get @

lowest costs

Rich offer by

leveraging

existing

platforms &

Services

Use Cases …

&

Friendly user

interface

Freemium

model: $ for

more details

or frequency

33

interne Orange 33

Not all data have the same level of sharing risks

Sharable with

caution to

limit

commercial

riks

Canditate for

sharing

Unlikely to

be shared

Reputation Risk

require consent

and/or privacy

commission

authorisation

Non personal Data

Personal Data

Data about core business

Non Core business data

Commercial risks

Repu

tation

risks

34

interne Orange 34

Richness of datasets and timing of analysis

define various degree of complexity and value

ex: Provide

customer mobility

information for

shop staffing

Provide real-time

personal

advertising to users

in mobility

(« BigData »)

ex: Optimise shop

location for density

of population

ex: Optimise in

function of broader

set of variables:

shopping area,

calendar events,…

Real Time Operation Management

Consulting /Analytics

Single Data source

Multiple data sources

Variety of sources for Data analysis

Custo

mer T

ime (

Veloc

ity)

35

Different positioning for Data services are possible each with a range

of possible business models

3.analytics with

partners

Serv

ice

2.indicators 1.data provider

pote

ntial

valu

e

collection, processing &

storage


storage

merging data,

anonymization

data platform, API’s &

visualization


storage

merging data,

anonymization

data platform, API’s &

visualization

sectorial analysis expertise

and partnerships

Free…

Freemium

One-off

By-the-glass

Subscription

Prepaid… postpaid

Revenue sharing…

Different ways to pay for

the infrastructure…

And get a fair margin

merging data,

anonymization

36

Thank you

37

Bookcases: occupations

e.g. Expedit – shop assistant/clerk

Hall furniture, beds, and wardrobes: Norwegian place names

e.g. Mandal (beds) – town and municipality in Norway

Dining tables and chairs: Finnish and Swedish place names

e.g. Bjursta (table) – village in Sweden

Carpets: Danish place names

e.g. Vemb (rug) – little town in Denmark

Bathroom storage and accessories: Scandinavian rivers, lakes, and bays

e.g. Limmaren (bathroom set bottles) – lake in Sweden

Desks and chairs: men’s names

e.g. Mike (desk) – short for Mikael, Swedish version for Michael

Fabrics, materials, and curtains: women’s names

e.g. Merete (curtains) – Nordic female name

Curtain accessories: mathematical and geometrical terms, various adjectives

e.g. Kvartal (curtain rails) – means quarterly in Swedish

Bed linen, covers, pillows, and cushions: plants, flowers, precious stones

e.g. Smörboll (duvet cover and pillowcases) – a globe-flower in Swedish

Lighting: music terms, seasons, months, days, chemistry, meteorology, measures, weights, boats, nautical terms

e.g. Årstid (wall lamp) – means season in Swedish

Kitchens: grammatical terms, but have exceptions

e.g. Rationell (cabinet system) – means rational in Swedish

Kitchen utensils: prominent foreign words, spices, herbs, mushrooms, fruits and berries, fish, and some functional

descriptions

e.g. Koncis (garlic press) – concise

Children’s items: birds, mammals, various adjectives

e.g. Sniglar (bed frame) – means snails in Swedish

Wall decorations, clocks, boxes, pictures and frames: colloquial expressions, but also Swedish place names

e.g. Flärdfull (candle in glass) – means vanity in Swedish

Documents

Low cost industrialization for PPP Analytics