Transforming our Services (and Assets)

Transcription

1 Transforming our Services (and Assets) Wayne Mack, Manager Service & Asset Planning Chris O Connor, Manager Digital and Data Warren Dean, Senior Data Analyst

2 Agenda» Overview» Case Study 1 Organisation transformation» Case Study 2 Digital by design» Case Study 3 Exploring our Data» Wrap up and Questions

3 Location

4 Growth

5 Challenges and Opportunities Financial pressures Changing Tech Services Growth Your needs

6 Case Study 1 - Transformation Bunjil Place Project Begins Workplace Strategy Launched Pilot Site Live Pilot Site Live Move to Bunjil Place

7 Workplace transformation

8 About Our Strategy Supporting our customer focus Supporting our people Creating a place to be proud of Our Workplace Objectives Flexible, adaptable, futureproof Being connected and collaborative Being efficient and effective Bunjil Place Project Begins Workplace Strategy Endorsed Pilot Site Live Pilot Site Live Move to Bunjil Place

9

10 Change» Community Engagement» Customers first» Digital by design» Long Term Plans» Using our data» Innovation

11 Innovation» Encouraging innovation» Continuous improvement» Cultural change

12 Case Study 2 Digital by Design» A new tax» Designed by the customer» With over 90% user satisfaction

13 Better services Better processes Better workplace Better economy

14 Agile Project Manager User Experience Researcher User Experience Designer Product Owner Front End Developer Content Writer Business Analyst

15 Design & Agile

16 The war room

17

18

19 81.05% 79.79% 81.14% 81.10% 84.48% Digital Take-up Dec 2016 Apr2017

20 Digital Take-up 80.66% Total completed to date 2,907 Out of the people who provided feedback 93.25% User Satisfaction

21 Reading level 6.4 Passive sentences 11% Words per sentence 11.97

22

23

24

25 Case Study 3 Exploring our Data» How can leverage our data to make data driven decisions?» Lets have a quick look at recent studies done by City of Casey s data function

26 Spatial Analysis of Trees, Broken Footpaths & Drains

27 Tracking Graffiti Over time

28 Comparing Internal Data Sources Kindergartens versus location of children under 4

29 Using Open Data Sources from VicRoads

30 Data Discovery» City of Casey have embarked on 12 week data discovery» Contracted Data Science consultants Minnovation» We don t know the outcomes» We hope to find opportunities for improvement or potential savings of our assets

31 Data Science in Asset Management» Case Study: Completed in 2009 Australian Paper 12 year study ISO55000 principles 2017 City of Casey 12 week study ISO55000 principles» Purpose: Optimise work loads and asset performance» Key outcome: Understand total cost of ownership» Result: Reduced maintenance costs by $7m per annum on $60m budget

32 Asset Value Lifecycle Optimise ALV Visualiser Data Modeler Simulator Optimiser 1. Talk to the data owners Understand the data Understand the issues 2. Collect all data TechOne (Sql Server) Spreadsheets Text files 3. Put all into data lake

33 Asset Value Lifecycle Optimise ALV Visualiser Data Modeler Simulator Optimiser Artificial Intelligence Algorithms 1. FMEA, Criticality Analysis (Causality Model) 2. Criticality Analysis (Criticality Model) 3. Actions to Prevent Failure 4. Cost Elasticity 5. Probability of Failure 6. Maintenance Sequence 7. Budgetary Limitations (Tolerance) } Trees Multiple Decision

34 Asset Value Lifecycle Optimise ALV Visualiser Data Modeler Simulator Optimiser Test the algorithm Un-optimised to ensure model matches actual results Able to check accuracy

35 Asset Value Lifecycle Optimise ALV Visualiser Data Modeler Simulator Optimiser Run algorithms with adjusted parameters Parameters can be moved like levers Find the best balance of asset performance (reliability) and cost Up to 1,000 iterations but usually 10

36 Asset Value Lifecycle Optimise ALV Visualiser Data Modeler Simulator Optimiser Use data visualisation tool (Tableau or Qlik) to tell the story

37 Expected Outcomes

38 Early Findings in our Data Discovery» Optimise condition monitoring» Introduce tracking of cost and time for maintenance» Possibility to automate scheduling» Possibility to automatically refine schedules based on best route» Property life cycle costs (portal to integrate database)» No mechanism to identify root cause for maintenance

39 Wrap up Casey Divisions Customer Focus & Innovation Community Life Corporate Services City Planning & Infrastructure

40 Wrap up Customer Focus & Innovation Customer Service Service & Asset Planning Communications Digital & Data People & Culture Org Performance

41 Wrap up» Service & Asset Planning Services Assets Capital

42 Questions