2018 Annual Report / Business Performance /
Advancing the Safety System
Empowered through digitalization and machine data
We use advanced analytics and business intelligence to make it easier for clients to manage technical safety and allow our employees to focus on work that provides the most value and has the greatest impact on safety.
2018 measuring performance
| TARGETS | MEASURES | RESULTS |
|---|---|---|
|
Increase percentage of services delivered through online channels; streamline processes and digital tools to enable employee efficiency and improve client service. |
Implement system improvements to expedite tracking and follow-up on key safety system records. Bring online capabilities to high volume unit-based technologies. Consolidate legacy IT systems for better service efficiencies. |
Delivered some of Elevating Devices’ high volume services through online services. Enhanced our online services to increase visibility of key safety system records, including aged non-compliances, expired/aged permits, and aged accounts receivables. Implemented a ‘detect and control’ system to find overdue transactions and notify duty holder to take action. Created a technical plan to separate key data sets from IT systems into an integration layer. This will allow for underlying legacy IT systems to be replaced in coming years with limited impact to users. |
|
Increase number of participants in the safety system. |
Identify under-permitted client segments. Publish first annual Compliance and Enforcement Report. |
Identified unlicensed contractors performing regulated work in various technologies through data analysis and targeted investigations. Made key deterrence messages and case studies available to safety system participants to influence positive behaviour change. Published the external 2017 Compliance and Enforcement Report. |
|
Increase execution on system-generated priorities, and increased predictive capability of our Structured Resource Allocation Program. |
Review decision rules and assessment policies. Apply random sampling to enhance predictive capability. Implement Data Warehouse 2.0 to access trusted information. |
Reviewed decision rules and assessment policies for Electrical; Gas; Elevating Devices; and Boilers, Pressure Vessels and Refrigeration technologies. A machine learning algorithm incorporated into Electrical and Gas installation assessment resulted in a predictability increase of 77% for Electrical installation and 61% for Gas in Q3-Q4 2017 compared to Q3-Q4 2018. This means we can focus on work that provides the most value and has the greatest impact on safety. Four random sampling plans were designed and implemented, generating valuable learnings and data in the following areas:
This increases our ability to generate safety insights five to 10 times faster, enabling wider safety intervention to be defined faster, therefore reducing potential harm. Implemented Data Warehouse 2.0 supported by a new visualization tool that covers permits, assessments, licenses, certificates, all financial transactions, and clients. |
“Every team in this business is using data on a day-to-day basis to make safety decisions, making us a fact-based, learning organization. We can figure out what works and what doesn’t, promoting innovation and optimization, and enabling us to make more informed decisions.”
– Ab van Poortvliet, Vice President, Data Analytics and Decision Science
