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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
I speak about … 
… the use case and its problems, 
… our solution, 
… the estimated ROI, and 
… the main findings. 
2
Use Case 
Customer Relationship Management (CRM) 
3 
http://blog.unisoft.net
Use Case: CRM 
Target group: sales employeewith multi-sides information needs 
4
23% accessibleas a Service 
Searchable 
Use Case: Data Dilemma 
5 
Structured40% 
Unstructured60% 
Enterprise Data 
Web & SN 
Source: TowerGroup, BearingPoint 
40% 
12%
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
Use Case: Task Evaluation 
7
Solution 
Ontos Linked Data Information Workbench (OntosLDIW) 
8 
ONTOS LINKED DATAINFORMATION WORKBENCH Extraction and LoadingLinking and FusionAuthoringEnrichmentVisualization and AnalyticsUser Storage Administrator Portal Text DocumentsSpreadsheets & CSVRelational DBsRDF Data
Solution: Overview 
RDF RDBMS CSV Text 
CRM User 
CRM SYSTEM 
Extraction 
Storage & Querying 
Authoring 
Linking & Fusion 
Enrichment 
Quality Analysis 
Evolution & Repair 
Exploration & Analysis 
OntosLDIW
Solution: OntosLDIW& OntoDix 
10 
Ontology 
•Common model 
Extraction 
•Mapping 
•Extraction 
Linking / Fusion 
•Linking model 
•Connect-Integrate 
Store 
•No-SQL “Graph” 
Consume 
•Reuse data
Solution: OntosLDIW& D2RQ 
11 
Ontology 
•Common model 
Extraction 
•Mapping 
•Extraction 
Linking / Fusion 
•Linking model 
•Connect-Integrate 
Store 
•No-SQL “Graph” 
Consume 
•Reuse data
Solution: OntosLDIW& LIMES 
12 
Ontology 
•Common model 
Extraction 
•Mapping 
•Extraction 
Linking / Fusion 
•Linking Models 
•Connect-Integrate 
Store 
•No-SQL “Graph” 
Consume 
•Reuse data
Solution: OntosLDIW& OntoQUAD 
13 
Ontology 
•Common model 
Extraction 
•Mapping 
•Extraction 
Linking / Fusion 
•Linking model 
•Connect-Integrate 
Store 
•No-SQL “Graph” DB 
Consume 
•Reuse data
Solution: OntosLDIW& CRM 
14 
Ontology 
•Common model 
Extraction 
•Mapping 
•Extraction 
Linking / Fusion 
•Linking model 
•Connect-Integrate 
Store 
•No-SQL “Graph” 
Consume 
•Reuse data
Solution: OntosLDIW& CRM 
15 
Ontology 
•Common model 
Extraction 
•Mapping 
•Extraction 
Linking / Fusion 
•Linking model 
•Connect-Integrate 
Store 
•No-SQL “Graph” 
Consume 
•Reuse data
Return on Investment 
OntosLDIW& CRM Integration 
16 
http://www.photocase.de/foto/18722
ROI: Costs
ROI: Benefit & ROI in 3 years 
ROI in 3 years: 186%
Sum it up… 
http://www.photocase.de/foto/18722
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
Q&A 
Martin Voigt 
Ontos AG / GmbH 
Nidau(CH) / Leipzig (DE) 
T:+49 341 21559-10 
M:+49 178 40 222 58 
E: martin.voigt@ontos.com 
21

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Return on Investment 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
  • 7. Use Case: Task Evaluation 7
  • 8. Solution Ontos Linked Data Information Workbench (OntosLDIW) 8 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 16 http://www.photocase.de/foto/18722
  • 18. ROI: Benefit & ROI in 3 years ROI in 3 years: 186%
  • 19. Sum it up… 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
  • 21. Q&A Martin Voigt Ontos AG / GmbH Nidau(CH) / Leipzig (DE) T:+49 341 21559-10 M:+49 178 40 222 58 E: martin.voigt@ontos.com 21