30+ Enabling the European Business Graph 3.7 M. Business cases. 2.5 Years ( ) Datasets. European partners

Transcription

1 eubusinessgraph

2 Enabling the European Business Graph for Innovative Data Products and Services 10 European partners SINTEF, EVRY, Brønnøysund Register Centre Norway Cerved, SpazioDati, University of Milano-Bicocca Italy OpenCorporates UK Deutsche Welle Germany Ontotext AD Bulgaria Institut Jozef Stefan Slovenia 2.5 Years ( ) 6 Business cases 30+ Datasets 3.7 M 2

3 Why company data Core asset in digitalization of business and society Serves as a foundation of many data value chains High societal significance (transparency, accountability) 3

4 Challenges in working with company data Heterogeneity (many different sources, across-sectors) Fragmented across borders Limitations in scope and size Unclear authoritativeness Data compatibility (lingual, schema, semantic) Expensive, time-consuming and error-prone reconciliation 4

5 Goal: Establish a Europe-wide business graph Develop a system of shared identifiers for companies (incl. mapping to existing identifier systems) Provide a scalable business graph data marketplace integrates 3 rd party applications used to expose company-related data services 5

6 3 rd party proprietary data Consortium proprietary data Simplified Data Analytics Publicly available free data Data Value Feedback Chain Data Sources National Business Registries OpenCorporates Data Gazettes Other registries (e.g. credit scoring, charity registers, licenses, stock market information, patent registry, etc.) Newspapers / broadcasters Social media and the Web Public Administration Tenders Business Graph Cross-country,-domain,-language System of Identifiers (companies, organizations, people, contracts, corporate events) Shared data models Multilinguality Data brokerage / marketplace Operations (data linking, integration, hosting, querying, provisioning, access control, billing, etc) Business products and services Consortium products and services Marketing&Sales (Atoka+) Enterprise / CRM (CRM-S) Business Information (TDS) Media (DJP) Open Data (CED, BR-S) 3 rd party datadriven services Customer segments Banks Marketing&Sales Departments Public Administration Insurance & Finance Credit Scoring SMEs and Start-ups Procurement Investigation & Compliance Data Value Chains

7 Business case example Atoka+ lead generation service As is Paid SaaS B2B lead generation service Processes more than 70K news stories per day Used by hundreds of customers Only available in Italy Using eubusinessgraph Coverage of two new countries (languages) UK and Norway Cross-country and cross-language data harmonisation Identifying company websites Extraction of website data Disambiguating company mentions in news 7

8 Business case example Atoka+ lead generation service (cont ) Expected outcomes At least double the number of customers Through extending the country coverage and target markets to UK and Norway Double the generated revenues Number of companies monitored increased by at least 4 million Double the number of news stories processed per day and include new data sources E.g., UK Companies House, Norwegian Business Registry, OpenCorporates.com, UK & Norway Corporate Web Crawl, Newspaper Data 8

9 Other example business cases Corporate Events Data Access Service Increase number of EU government gazettes ingested New non-corporate registers New corporate events data product Increase revenue from European data Data Journalism Product New Journalism Tool/Product Cost reduction in the editorial department Increased public value and reach through improved story telling/formats Tender Discovery Service Increase the number of the actual customers Improve the market penetration and the revenues Increase the number of new customers with respect to the existing product line CRM service Business graph integrated in a set of CRM products Increase the data quality in existing commercial companies databases with 10% measured by the relative number of errors detected 9

10 Impact examples Simplifying data analytics Predict the behaviour of a company Will company X buy new products, open a new office? Recommendation systems If you are interested in company X you may also be interested in Y Network analysis Building corporate network, influence of people in companies Statistical models Computing credit score Fact extraction Company X has launched a new product or service Company X established a partnership with Company Y Data quality problems and data profiling Freshness of data, combining data can surface inconsistencies and contradictions Shortening time to market for new products and services Unique central point of access to cross-country, cross-sector and cross-lingual company-related data Efficient data provisioning Shared data models and identifiers Data marketplace Increase in the number and size of data sets Data about 11 Million companies and 13 Million persons (NO, IT) and 99 Million companies from other national registries 100,000 annotated news per day 100 Million corporate events from Gazettes 1 Million contracts and bids from Gazettes Links between different Norwegian national registries 10

11 MVP example Company: SINTEF spazidati.eu/ businessgraph.io/ Basic info Name: Stiftelsen SINTEF Jurisdiction: Norway Classification: Foundation Who has more info about this company? (preview pointers) address owners Take me there! address number of employ ees products Take me there! Identifiers VAT: Specific Industry Ids: IDcontext2: ccccwefwe IDcontext3: Legal inf o Take me there! Participation in public tenders Take me there! news occurrences Company XYX Other inf o Take me there! Take me there! 11

12 Services and model for monetization Data Provider Publication Services Data Hosting Basic data transformations Enrichment of data, linking, integration with other datasets Basic charts, visualisation, statistics and reporting functionality Analytics services Compliance checking with various regulations Maintenance of dynamic updates Data Provider Market Services Participation and subscription to the data market Registration and maintenance of datasets in the data market Branding services Dissemination of data via various channels Usage monitoring Ability to monetise & sell data Data Consumer Participation and subscription to the data marketplace Discover data on the marketplace Data subscriptions Real-time notification service for data updates Programmatic access to data (API calls) Basic charts / visualisation / reporting means Analytics services Social platform (forums, feedback, etc.) 12

13 Technologies in eubusinessgraph Data Sources Business Graph ABSTAT Business Products and Services Event Dataset System of Identifiers PA portal Wikifier Data journalism tools 13

14 eubusinessgraph partners SINTEF (NO) Scandinavia's largest independent non-profit research organisation Chrinon Ltd (UK) Company dedicated to improving and publishing public data Cerved Group (IT) Italian leader in the field of business information SpazioDati (IT) Italian startup focusing on a data-as-a-service offering EVRY AS (NO) Largest IT service provider in Norway Deutsche W elle (DE) Germany s international public service broadcaster ONTOTEXT AD (BG) Technology company Brønnøysund Register Centre (NO) Public agency administering 18 registers including the business register in Norway INSTITUT JOZEF STEFAN (SI) Research institution for natural sciences in Slovenia UNIVERSITY OF MILANO-BICOCCA (IT) Data Management, Service Science, Service Oriented Architecture 14

15 Thank you!

16 eubusinessgraph has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement No