opendatasoft - towards cost-efficient innovation with data open platforms
Post on 19-May-2015
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with OpenDataSo. think bigdata. start smartdata. scale fastdata
Data Open Pla4orms, future plants of sustainable innova9on
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
OpenDataSoA the data driven innova3on company
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.
FROM OPEN DATA TO OPEN PLATFORMS
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)
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 …)
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 »
… & 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! »
FROM DATA OPEN PLATFORM TO OPEN DATA V2
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, )
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 ...)
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 …)
URBAN APPS EXAMPLE
Current app (on mobile)
Future app
… when you need it ! The data you need …
SMART METERING EXAMPLE
Smart metering
CROWDSOURCING EXAMPLE
To get ground-‐field informa3on
Aler3ng systems based on crossing low signals
TOWARDS CONNECTING THE DATA & MAKING THEM API
Smart ci3es Internet of things
Ecomobility
Geomarke3ng
Smart metering
M2M
In a future of smart services …
… 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)
… are the basement of informa3on new governance.
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