Smart metering, M2M, data API … thanks to its integrated platform of Data Management & Data Publishing, OpenDataSoft helps its customers to set up and operate their own data open platform dedicated to new services go-to-market, leveraging cloud computing & big data technologies : - to take benefits of any opportunity to catch value from crossing internal & external data through innovative applications (API, mobile apps, data visualisation …) - to leverage low costs of cloud computing & big data technologies combination for developing new business - to support a new kind of governance of public services thanks to an data hubs approach - to engage ones organisation into a real innovation practive with the OpenDataSoft participative data platform Public bodies, Industry & Services, Media, Developers can take advantage of OpenDataSoft solutions.

1. Data
Open
Pla4orms,
future
plants
of
sustainable
innova9on
with
OpenDataSo.
think
bigdata.
start
smartdata.
scale
fastdata

2. OpenDataSoA
the
data
driven
innova3on
company
Full
featured
cloud-­‐based
pla1orm
for
• opera3ng
ones
own
data
driven
innova3on
hubs
• speeding-­‐up
new
data-­‐centric
services
go-­‐to-­‐market
• leverage
both
cloud
elas3city
&
big
data
fields
Smart
metering,
M2M,
data
API
…
thanks
to
its
integrated
pla1orm
of
Data
Management
&
Data
Publishing,
OpenDataSoA
helps
its
customers
to
set
up
and
operate
their
own
data
open
pla1orm
dedicated
to
new
services
go-­‐to-­‐market,
leveraging
cloud
compu3ng
&
big
data
technologies.

3. FROM
OPEN
DATA
TO
OPEN
PLATFORMS

4. From
open
data
to
big
data
?
«
Open
data
strategy
should
be
a
top
priority
for
any
organiza3on
that
uses
the
Web
as
a
channel
for
delivering
goods
and
services
…
Open
data
APIs
are
a
lightweight
approach
to
data
exchange.
Their
use
is
now
considered
a
best
prac?ce
for
opening
data
and
func?onality
to
developers
and
other
businesses.
»
(Gartner
–
août
2012)
«
CeSe
possibilité
constante
de
l’humain
d’intervenir
sur
les
données
pour
y
apporter
de
la
qualité,
sur
les
algorithmes
pour
en
contrôler
l’intelligence,
et
sur
les
machines
virtuelles
ou
physiques
pour
les
piloter,
c’est
l’open
data.
»
(Pierre
Georget
–
GS1
France
–
septembre
2012)
«
Les
données
sont
le
nouveau
capital
de
l’économie
globale,
et
la
pression
pour
leur
exploita?on
s’intensifie.
Cependant,
créer
de
la
valeur
doit
aller
de
pair
avec
l’augmenta?on
des
niveaux
de
responsabilité
et
de
gouvernance
sur
les
disponibilité
et
distribu?on
de
l’open
data
»
(Richard
Hammel
–
DeloiHe
UKAssociate
–
août
2012)

5. Data
fields
• Reference
data
§ Prac?cal
informa?on
(POI,
maps,
…)
§ Knowledge
(Linked
data,
business
references…)
• Opera3on
data
§ Data
flows
(M2M,
eHealth,
transport,
energy,
tourism
…)
§ Sta?s?cs
• Personal
data
§ Individuals
data
(energy
consump9on,
sensors
…)
§ Crowdsourcing
(environment,
events
…)

6. Stakes
…
• To
unlock
informa?on
access
(to
much
data
locked
into
business
so.wares)
• To
guarantee
fair
access
to
data
• To
free
data
drvien
innova?on
power
(employees,
partners,
customers)
«
An
open
data
project
is
not
a
data
portal
project
»

7. …
&
opportuni3es
• To
handle
volumes
&
flows
of
data
thanks
to
big
data
technologies
• To
focus
on
customers
value
thanks
to
cloud
compu?ng
elas?city
• To
favor
new
business
models
arising
with
a
low-­‐cost
approach
«
To
transform
fossil
data
into
renewable
energy!
»

8. FROM
DATA
OPEN
PLATFORM
TO
OPEN
DATA
V2

10. Data
procurement
• Very
simple
§ No
limit
for
data
sourcing
(web
forms,
databases,
business
soRware,
crowdsourcing,…)
§ Real
?me
connectors
(APIs,
web
services,
«
push
»
mode)
• Automa3c
&
secured
§ Automa?c
processing
of
data
files
(csv,
shapefiles,
SGBDR,
XML,
…
–
ESRI
exports,
KML,
OSM,
GTFS,
INSPIRE
...)
§ Secured
profiles
&
traceability
(aler9ng
reports,
)

11. Data
prepara3on
• Cleansing
§ Transforma?on
(labels
naming,
types
selec9on,
fileds
fusion
…)
§ Normalisa?on
(geographical
projec9on
system,
ontologies
…)
• Enriching
§ Adding
metadata
(transla9ons...)
§ Adding
data
(linked
data,
data
aggrega9ng,
geocoding,
reverse-­‐geocoding
...)

12. Data
publishing
• To
find
data
§ Interac?ve
data
browsing
(facets,
charts,
maps
…)
§ High-­‐end
search
engine
(all
data
indexed,
contextual
search
...)
• To
re-­‐use
data
§ Dynamic
file
publishing
(original
formats,
csv,
xml,
kml,
Json,
OSM,
…)
§ API
publishing
(Opensearch,
OAI,
Rest-­‐Json,
WFS
…
API
keys,
analy9cs
…)

13. URBAN
APPS
EXAMPLE

14. Current
app
(on
mobile)

15. Future
app
The
data
you
need
…
…
when
you
need
it
!

16. SMART
METERING
EXAMPLE

17. Smart
metering

18. CROWDSOURCING
EXAMPLE

19. To
get
ground-­‐field
informa3on

22. Aler3ng
systems
based
on
crossing
low
signals

23. TOWARDS
CONNECTING
THE
DATA
&
MAKING
THEM
API

24. In
a
future
of
smart
services
…
Smart
ci3es
Internet
of
things
Ecomobility
Smart
metering
Geomarke3ng
M2M

25. …
Data
Open
Pla1orms
…
• Full-­‐featured
solu3on
§ Data
easy
procurement
(preloaded
open
content,
data
connectors
…)
§ Data
API
publishing
• Scalable
pla1orm
§ Cloud-­‐based
(mutliclouds
data
storage,
new
genera9on
ETL…)
§ Big
data
technologies
(MapReduce,
Hadoop
…)
• Low-­‐cost
approach
§ Pay-­‐as-­‐you-­‐use
(SaaS
model,
bundles
based
on
data
volumes
+
add-­‐ons…)
§ Business
oriented
(pricing
designed
for
networks
models
e.g.
u9li9es)

26. …
are
the
basement
of
informa3on
new
governance.