Graph-based Product Lifecycle Management
2 likes1,134 views
Linkurious, founded in 2013 in Paris, is a graph-based product lifecycle management startup that helps clients like NASA and Cisco visualize and analyze complex data using graph technology. Their software enables efficient detection and investigation of insights from interconnected data, addressing challenges in various sectors such as cybersecurity, IT operations, and life sciences. By leveraging graph databases, Linkurious enhances productivity and decision-making throughout product lifecycles, while overcoming limitations of traditional relational database management systems.
![Bibliography :
● Bruggen Blog. Using Neo4j to Manage and Calculate Hierarchies. Available:
http://blog.bruggen.com/2014/03/using-neo4j-to-manage-and-calculate.html [September 2017]
● Product lifecycle management. PLM models. Available:
http://www.product-lifecycle-management.info/plm-elements/plm-models.html [September 2017]
● Beyond PLM. PLM graph-aware architecture and search for data. Available
http://beyondplm.com/2017/05/10/plm-graph-aware-architecture-search-relevant-data/
[September 2017]
● PLM Book. What is the right data model for PLM. Available
http://plmbook.com/what-is-right-data-model-for-plm/
Images:
● Istock
● Data visualization icon by Creative Outlet from the Noun Project
● Browser Analytics icon by Oliviu Stoian from the Noun Project
Sources and links](https://image.slidesharecdn.com/slidesharewebinar15-plm-171002091638/85/Graph-based-Product-Lifecycle-Management-21-320.jpg)
Graph-based Product Lifecycle Management
- 1. SAS founded in 2013 in Paris | http://linkurio.us | @linkurious Graph-based Product Lifecycle Management
- 2. Graph visualization and analysis startup founded in 2013. 40+ clients in 20+ countries (NASA, Cisco, French Ministry of Finances). Linkurious Enterprise and Linkurious SDK. About Linkurious
- 3. What is graph technology? A graph is a data structure that consists of nodes and edges. Graph databases store & process large connected graphs in real-time. Linkurious’ software helps analysts easily detect and investigate insights hidden in graph data. Node STORE ACCESS Data Graph database Linkurious ORGANIZE Edge
- 4. Some use cases Cyber-security Servers, switches, routers, applications, etc. Suspicious activity patterns, identify impact of a compromised asset. IT Operations Servers, switches, routers, applications, etc. Impact analysis, root cause analysis. Intelligence People, emails, transactions, phone call records, social. Detecting and investigating criminal or terrorist networks. AML People, transactions, watch-lists, companies, organizations. Detecting suspicious transactions, identify beneficiary owners. Fraud Claims, people, financial records, personal data. Detecting and investigating criminal networks. Life Sciences Proteins, publications, researchers, patents, topics. Understanding protein interactions, new drugs. Enterprise Architecture Servers, applications, metadata, business objectives. Data lineage, curating enterprise architecture.
- 5. Product Lifecycle Management (PLM) is the process of managing the entire lifecycle of a product from design stage to development to go-to-market to retirement to disposal.
- 6. Quality & Compliance management Requirement management Manufacturing process management Maintenance & repair management Source and supply chain management Portfolio management Document management Component management Configuration/BOM management Classification management Workflow/Process management Change management The stakes of PLM ↗ Productivity ↗ Product quality ↘ Costs ↘ Risks
- 7. The field of PLM technology today Existing PLM systems rely on RDBMS. Siloed data, inability to model real-life complexities and to adapt to changes. Performance issues with multi-level queries (impact analysis). id: b8953 t$:v52 id: b8953 t$:b88 Components id: b8953 Bike Product t$: v52 t$: b88 Jaycon Blueline Sub-components
- 8. Limitations of the relational approach Inability to scale data model without costs and risks as business evolves. Searching for information is time-consuming, 12-30% of engineer’s time. Missing insights regarding dependencies leads to poor decisions and increases risks.
- 9. The advantages of graph technology for PLM Process changes quickly Graph technology are more flexible and scalable than relational technology and let you adapt to change. Reduce search time Easily and quickly find information from large datasets with interactive graph data visualizations. Access hidden insights about dependencies Don’t miss any of the complex dependencies between elements even on multiple levels.
- 10. Represent cross-department data about products and processes as a graph and store it as one. Aggregate product hierarchies and connections into a single source of truth. Easily edit, or expand your model as your needs evolve. A flexible and unified model of product lifecycle
- 11. Save time by searching and exploring your data through interactive visualizations. Filter visualizations to work on specific elements or specific sections of the data. Visually track dependencies between entities and get contextual insights. Access hidden insights with graph visualization
- 12. Demo: PLM with Linkurious. - Modeling your product data as a graph - Visualizing your data in Linkurious Enterprise - Running impact analysis
- 13. Modeling multi-level BOM data into a graph.
- 14. Exploring component hierarchy and interdependencies in Linkurious Enterprise
- 15. Finding patterns of components counting more than 9 dependencies to subcomponents
- 16. Load data into one of the graph or RDF DB supported by Linkurious: Neo4j, DataStax, Titan, AllegroGraph. Windows / Linux / Mac, on-premise or in the cloud, supports all modern browsers. Use Linkurious Enterprise off-the-shelf interface or build your custom application with Linkurious SDK. How it works. DMS or DBMS Synchronize automatically ERP (SAP, Oracle Applications, IFS Applications…) Graph DB (Neo4j, AllegroGraph, Titan, DataStax..)
- 17. Background International vehicle manufacturer. Problem Complex products with many subcomponents make it hard to conduct change management. Benefit Graph approach breaks silos and enables easy impact analysis. Project planning and impact analysis (confidential).
- 18. Background International industrial manufacturer. Problem Numerous BOMs to keep track of. Hard to understand dependencies between components. Benefit Visualization helps communicate complex results and drive action. BOM & component management (confidential).
- 19. Our partners
- 21. Bibliography : ● Bruggen Blog. Using Neo4j to Manage and Calculate Hierarchies. Available: http://blog.bruggen.com/2014/03/using-neo4j-to-manage-and-calculate.html [September 2017] ● Product lifecycle management. PLM models. Available: http://www.product-lifecycle-management.info/plm-elements/plm-models.html [September 2017] ● Beyond PLM. PLM graph-aware architecture and search for data. Available http://beyondplm.com/2017/05/10/plm-graph-aware-architecture-search-relevant-data/ [September 2017] ● PLM Book. What is the right data model for PLM. Available http://plmbook.com/what-is-right-data-model-for-plm/ Images: ● Istock ● Data visualization icon by Creative Outlet from the Noun Project ● Browser Analytics icon by Oliviu Stoian from the Noun Project Sources and links