Increases safety and health through information-driven cooperation Pentaho World 2017
Agenda 1. Safehub by incentro a. Who b. What c. Why d. How 2. Some examples 3. Why Pentaho 4. Takeaways
Bart-Jan Knegt • age: 33, 1 kid • likes surfing • role: Tech lead Incentro Safety Intelligence • working at Incentro since 2010 • Winner national BI Award, with firedept Amsterdam contact: • bartjan.knegt@incentro.com
Who We Are
300 colleague incentronauten We work in NL, Turkey, Spain and Kenya We have multiple cells with their own specialty we steer on happiness ● Together with 7 colleagues we build Safehub ● 100% of customers are recommended ● 100% of customers extend ● No. 1 Great Place to Work 2017
What We Do
wie zijn wij? For Whom? 320 collega incentronauten wij werken in NL, Turkije, Spanje en Kenia ● Safety region / Fire department wij hebben meerdere cellen met eigen specialisme ● regional ambulance services ● 112 call center ● public health centers (GGD,GHOR) We help customers to collaborate more risk-based and information driven
Our clients use safehub for: Managing their organisations on performance ● (response time, service coverage) Get a better operational pictures during incidents ● with real time intelligence Use risk profiles to prevent incidents from ● happening Use data science and analytics for in depth view on ● themes like wildlife fires, maritime incidents, health risks of youth, optimal distribution of resources
Why?
Raison d’Etre – Managing 1 KPI
risicoprofiel
Raison d’Etre – managing 1 KPI
Risk Profile 1. Combining statistics of riskdata with fire service coverage and performance it is possible to: a. Make better policies together with governmental organizations b. Organize fire services based on risks and performance c. Use these analytics to look forward in the future development of the services (new risks? new equipment? Knowledge drain by retirements?
How?
kerndata
General data model
Coping with management of different environments
An Example of Our Products
Managing the Risks
Improvement Operational Picture & Prevention
Case of Information Cycle
So What About Pentaho?
Stay in charge of your data streams
Work with Templates
Working with Geo-Data
multi data integration
Making Smart Data Marts for Multi Purpose Usage
Takeaways ❖ Make strategy how to provide all clients as lean and mean as possible ❖ Design a flexible datastore ❖ Keep it simple and stay in charge of your data streams ❖ Start with the low hanging fruits, but make it expandable and flexible ❖ Make the ETL re-usable ❖ create smart data marts for multi purpose usage
Questions or Remarks?
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