Today, decision makers in enterprises have to rely more and more on a variety of data sets that are internally but also externally available in heterogeneous formats. Therefore, intelligent processes are required to build an integrated knowledge-base. Unfortunately, the adoption of the Linked Data lifecycle within enterprises, which targets the extraction, interlinking, publishing and analytics of distributed data, lags behind the public domain due to missing frameworks that are efficiently to deploy and ease to use. In this paper, we present our adoption of the lifecycle through our generic, enterprise-ready Linked Data workbench. To judge its benefits, we describe its application within a real-world Customer Relationship Management scenario. It shows (1) that sales employee could significantly reduce their workload and (2) that the integration of sophisticated Linked Data tools come with an obvious positive Return on Investment.
ROI in Linking Content to CRM by Applying the Linked Data Stack
1. Return on Investment in Linking
Content to CRM by Applying the
Linked Data Stack
Daniel Hladky, Martin Voigt and
Svetlana Maltseva
KESW 2014, September 2014
1
RDF RDBMS CSV Text
CRM User
CRM SYSTEM
Extraction
Storage & Querying
Authoring
Linking & Fusion
Enrichment
Quality Analysis
Evolution & Repair
Exploration & Analysis
OntosLDIW
2. I speak about …
… the use case and its problems,
… our solution,
… the estimated ROI, and
… the main findings.
2
3. Use Case
Customer Relationship Management (CRM)
3
http://blog.unisoft.net
4. Use Case: CRM
Target group: sales employeewith multi-sides information needs
4
5. 23% accessibleas a Service
Searchable
Use Case: Data Dilemma
5
Structured40%
Unstructured60%
Enterprise Data
Web & SN
Source: TowerGroup, BearingPoint
40%
12%
6. Use Case: Required Data
6
Customer
(Potential, New, Existing)
Web
Information
Credit Risk
News
Press & Social
Media
Stock Market
Order
Products
Revenue
Activities
(Call, Mail, Meeting)
Support Case
(Open, Closed)
Contract
Terms &
Conditions
Warranty
has
consists of
8. Solution
Ontos Linked Data Information Workbench (OntosLDIW)
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ONTOS LINKED DATAINFORMATION WORKBENCH Extraction and LoadingLinking and FusionAuthoringEnrichmentVisualization and AnalyticsUser Storage Administrator Portal Text DocumentsSpreadsheets & CSVRelational DBsRDF Data
9. Solution: Overview
RDF RDBMS CSV Text
CRM User
CRM SYSTEM
Extraction
Storage & Querying
Authoring
Linking & Fusion
Enrichment
Quality Analysis
Evolution & Repair
Exploration & Analysis
OntosLDIW
10. Solution: OntosLDIW& OntoDix
10
Ontology
•Common model
Extraction
•Mapping
•Extraction
Linking / Fusion
•Linking model
•Connect-Integrate
Store
•No-SQL “Graph”
Consume
•Reuse data
11. Solution: OntosLDIW& D2RQ
11
Ontology
•Common model
Extraction
•Mapping
•Extraction
Linking / Fusion
•Linking model
•Connect-Integrate
Store
•No-SQL “Graph”
Consume
•Reuse data
12. Solution: OntosLDIW& LIMES
12
Ontology
•Common model
Extraction
•Mapping
•Extraction
Linking / Fusion
•Linking Models
•Connect-Integrate
Store
•No-SQL “Graph”
Consume
•Reuse data
13. Solution: OntosLDIW& OntoQUAD
13
Ontology
•Common model
Extraction
•Mapping
•Extraction
Linking / Fusion
•Linking model
•Connect-Integrate
Store
•No-SQL “Graph” DB
Consume
•Reuse data
14. Solution: OntosLDIW& CRM
14
Ontology
•Common model
Extraction
•Mapping
•Extraction
Linking / Fusion
•Linking model
•Connect-Integrate
Store
•No-SQL “Graph”
Consume
•Reuse data
15. Solution: OntosLDIW& CRM
15
Ontology
•Common model
Extraction
•Mapping
•Extraction
Linking / Fusion
•Linking model
•Connect-Integrate
Store
•No-SQL “Graph”
Consume
•Reuse data
16. Return on Investment
OntosLDIW& CRM Integration
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http://www.photocase.de/foto/18722
20. Sum it up
CRM –Linked Data Integration
All required data in CRM time and cost efficiency 1mininstead of 8min
Up-to-date information enables ad-hoc customer queries
Lessons Learned and ToDos
Missing parts of LD lifecycle, e.g., InfoVis, quality
Enterprise lack of knowledge about Semantic Web technologies and their benefits