![MATCH (m:Monitor {name: “vectr"})-[]-(s:Skill)
RETURN m,s
Our skill ontology](https://image.slidesharecdn.com/c3po-graphtoursmall-180407140218/85/Mapping-the-IT-landscape-13-320.jpg)
![MATCH (m:Monitor {name: "vectr"})-[]-(s:Skill {name: “neo4j"})-[]-
(o:Opening)<-[]-(c:Company)
RETURN m,s,o,c](https://image.slidesharecdn.com/c3po-graphtoursmall-180407140218/85/Mapping-the-IT-landscape-14-320.jpg)
![MATCH (m:Monitor {name: "vectr"})-[:INTERESTED_IN]-(s:Skill {name: “iot"})-
[:NEEDS]-(o:Opening)<-[:HAS]-(c:Company)
RETURN m,s,o,c](https://image.slidesharecdn.com/c3po-graphtoursmall-180407140218/85/Mapping-the-IT-landscape-15-320.jpg)
![MATCH (s:Skill)-[:NEEDS]-(o:Opening)<-[:HAS]-(c:Company {name: "Digipolis"})
RETURN s,o,c](https://image.slidesharecdn.com/c3po-graphtoursmall-180407140218/85/Mapping-the-IT-landscape-16-320.jpg)
![MATCH (s:Skill)-[:NEEDS]-(o:Opening)<-[:HAS]-(c:Company {name: "Digipolis"})
WITH s,count(o) as openings
RETURN s,sum(openings) ORDER BY sum(openings) DESC](https://image.slidesharecdn.com/c3po-graphtoursmall-180407140218/85/Mapping-the-IT-landscape-17-320.jpg)
Uploaded byVectr.Consulting
Mapping the IT landscape
The document discusses the use of a knowledge graph to map the IT consultancy landscape, highlighting how companies and consultants share and recognize skills. It details an automated process for matching job openings with consultants based on their skill sets and tracks skill trends. The document emphasizes the importance of understanding customer needs and improving consultant skill alignment to enhance business insights.
![Francisco Javier Sucunza - N4J, Horizonte de sucesos. [rooted2019]](https://cdn.slidesharecdn.com/ss_thumbnails/n4j-190403185720-thumbnail.jpg?width=640&height=640&fit=bounds)
Mapping the IT landscape
- 1. Mapping the ITLandscape as a Knowledge Graph Ignaz Wanders
- 2. IT consultancy business CompaniesConsultants
- 3. IT consultancy business CustomersConsultants Skills Company :KNOWS :WORKS_FOR :DELIVERS :SEARCHES
- 4. By publicly searchingfor skills, companies give a little bit of information about their internal business. Companies like Vector.Consulting offer skills through the knowledge of the consultants, both employees and freelancers. Consultants show off their skills through all kinds of media, notably a CV, but also through presence in social media and other channels.
- 5. Skills are central ๏Matching consultants to customer requests ๏ Who is the best available consultant for the requested job? ๏ Knowing which companies seek what skills ๏ Who are my most important customers? ๏ Watching skill trends ๏ Do consultants need to learn new skills?
- 6. The conceptual model ConsultantSkill Opening Customer Vectr. Consulting :WORKS_FOR :KNOWS :NEEDS :OFFERS :INTERESTED_IN
- 7. Automated flow ๏ Customersubmits a job opening, requesting specific skills ๏ Opening is scanned for skills and added to the model ๏ Consultants are scored against the opening ๏ Notification sent via Slack channel ๏ When consultant has new skill, it is added to the model ๏ New consultants are also added to the model CENSORED
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- 13. MATCH (m:Monitor {name:“vectr"})-[]-(s:Skill) RETURN m,s Our skill ontology
- 14. MATCH (m:Monitor {name:"vectr"})-[]-(s:Skill {name: “neo4j"})-[]- (o:Opening)<-[]-(c:Company) RETURN m,s,o,c
- 15. MATCH (m:Monitor {name:"vectr"})-[:INTERESTED_IN]-(s:Skill {name: “iot"})- [:NEEDS]-(o:Opening)<-[:HAS]-(c:Company) RETURN m,s,o,c
- 16. MATCH (s:Skill)-[:NEEDS]-(o:Opening)<-[:HAS]-(c:Company {name:"Digipolis"}) RETURN s,o,c
- 17. MATCH (s:Skill)-[:NEEDS]-(o:Opening)<-[:HAS]-(c:Company {name:"Digipolis"}) WITH s,count(o) as openings RETURN s,sum(openings) ORDER BY sum(openings) DESC
- 18. Key take aways Ontologyfor your business Connect ontology and dynamic business entities in a graph Matching, mapping, trending Graphs provide excellent business insights