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LAPA Fleet Management Date: Thursday 6 th November 2014

Auckland Councils’ journey towards fleet optimisation

The bumpy roads, roadblocks and detours

Background • Amalgamation of 8 Councils in November 2010 • Various ages, vehicle types, data standards etc • Unsure of numbers and locations • Approx. 100 vehicles over 10 years old

Where do you start?

• Mazda sports, Ford Territories, luxury SUVs and even a modified Nissan. • 10 year old Kia’s and Swifts • Can we keep the business moving on day one • Operational stability • Do we have enough vehicles in each location for a general pool?

• All renewals are now through the All of Government vehicle contract.

• Manage the fleet in-house • Fleet management system - Fleetworks • GPS - Navman

• • Fuel measurement/consumption/costs Unauthorised fillings - Fleetworks Utilisation - Navman Commuting/Unauthorised use • Fleet Policy • Protocols – Fuel, keys, parking, returning the car, car appearance

• Wikipedia - Analytics is a multi-dimensional discipline. There is extensive use of mathematics and statistics, the use of descriptive techniques and predictive models to gain valuable knowledge from. The insights from data are used to recommend action or to guide decision making rooted in business context. • Data mining – The extraction of patterns and knowledge from large amounts of data, not the extraction of data itself • Analytics is defined as the scientific process of transforming data into insight for making better decisions.

Other improvements • Swipe card vehicle access - Navman • Cost per km per vehicle – Fleetworks/Navman • I-journey – Feetworks • Booked cars still at homebase

Case Study • Part of the business has extended their team by 9 staff and all of them need a car over and above the current allocation • The business is convinced that all the cars they have are in use 100% of the time • The cost of each vehicle is approximately $6, 500 maintenance and fuel and $6000 in depreciation or $12, 500 per year or a total of $112, 000 per year.

• We have started using data to optimise the fleet and give the business information to make informed decisions • We have followed our systems roadmap • We have implemented co-ordinated systems and collect usage data • We have robust reporting • We have a policy and usage etiquette • We know what we have • We know where they are • We know how many we have

Case Study • Did the business get the additional cars?

Where are we now?

Questions?

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