City of Casey

Help us find value in our asset data

Important dates

Opportunity ID
Deadline for asking questions
Wednesday 19 April 2017 at 5PM (in Canberra)
Closing date for applications
Wednesday 26 April 2017 at 5PM (in Canberra)
Wednesday 12 April 2017


Write a summary of your brief

We're seeking a data science expert to help us find insights from our asset data.

During this short term project will run a discovery process to assess the quality of our data and identify opportunities to make better use of our limited resources.

What is the latest start date?
How long is the contract?

Up to 8 weeks

Where can the work take place?
Who will the specialist work for?
City of Casey
Budget range


About the work

Why is the work being done?

Council owns assets across the City of Casey that are provided for the benefit of the community. These assets include community facilities, roads, buildings, trees, parks, drains, sports grounds, play grounds and nature reserves.

These assets require an ongoing commitment from Council to manage their operations and to maintain them, or to renew, upgrade or expand the assets when they reach the end of their useful life. Council is committed (per the Asset Management Policy) to looking after these assets in a way that meets the expectations of present and future residents, at the lowest economic and environmental cost.

Council maintains several datasets that contain information about these assets. Ideally, these datasets would be used to draw insights to inform long term strategic and budget decisions.

We believe there are opportunities to link up our datasets and apply statistical & predictive modelling to save money and improve asset management.

What's the key problem you need to solve?

Asset data is stored across a range of disparate and inconsistently structured datasets.

Each dataset is maintained to different standards. For instance, the parks and reserves dataset is regularly updated by dedicated resources. The bus shelters dataset hasn’t been updated in the last three years.

The inconsistent nature of these datasets means they cannot be used to reliably inform long term budget or strategic planning decisions.

We think the most valuable datasets (ie. relating to those assets where Council invests the most) are:

- Civil Assets (for example roads, paths, drains),

- Buildings, and

- Sports grounds.

Because our maturity in analysing data is low, we need some help to identify and capitalise on opportunities.

Describe the users and their needs

Given the purpose of this project is to run a discovery, we do not yet have a backlog of researched and validated user stories.

Instead, we have a hypothesis that we can use our data to make better strategic and tactical decisions that save money and make the best use of our limited Council resources.

What work has already been done?

To date we have simply identified the data sets and types of assets we feel will be of value.

Who will the work be done with?

You'll be working closely with Council Officers across several teams. Out intent is to release the findings from this work to other Councils so they can learn from our results.

Any additional relevant information?

What phase is the work in?
Not started

Work setup

Where will the work take place?

City of Casey

Magid Drive

Narre Warren, Victoria


What are the working arrangements?

To be agreed as the discovery evolves.

Initially on site to understand our business and strategy, however we anticipate some of this work can be done remotely.

Is security clearance required?

The vendor may have access to commercial in confidence information. The successful bidder will be asked to sign a non-disclosure agreement prior to commencing work.

Additional information

Additional terms and conditions

This procurement process will be conducted in line with the City of Casey's procurement policy. This means for work valued between $15,000 and $150,000 at least three written quotes must be sought and considered.

Skills and experience

Buyers will use the essential and nice-to-have skills and experience to help them evaluate sellers’ technical competence.

Essential skills and experience
  • Have experience in data science
  • Have experience running a data discovery in an agile way
Nice-to-have skills and experience
Understand asset management

How sellers will be evaluated

How many shortlisted sellers will you evaluate?
Proposal criteria
  • Approach and methodology
  • Value for money
  • Technical solution
Cultural fit criteria
  • Customer centred: We are focused on understanding and improving customers’ experiences. This includes internal customers and external customers (of all abilities).
  • Collaborative: We work as one team. Everyone knows what’s going on and feels supported to do their best work.
  • Fail, learn, iterate: We try new things, we reflect on the results and we adjust our approach.
  • Pragmatic: We are clear about what we need to achieve and what success looks like.
  • Caring: We understand and support each other and we treat our colleagues (and their ideas) respectfully.
  • Creative and Innovative: We create the solutions that our users require in awesome ways.
Payment approach
Time and materials
Assessment methods
  • Written proposal
  • Case study
  • Work history
  • Reference
Evaluation weighting

Technical competence

Cultural fit


Seller questions

Seller questions
Seller question Buyer answer
1. Would you please add to the area of expertise: "Agile delivery and Governance" and / or "Change, Training and Transformation". We believe our Data Opportunity Scan service is perfect for your needs, however, we are unable to apply due to the limitations of the Digital Marketplace because you have only selected "Data Science" as the area of expertise. We expect that your problems are more associated with how you are managing your information and data, as opposed to how you might be analyzing your data. We feel that this project requires data expertise and experience, with those categories being extremely broad. It should be possible through the marketplace to apply for assessment against this area of expertise and therefore bid for this work.

Interested in this opportunity?

Before you can apply for this opportunity, you need to:

  1. Register to join the Marketplace.
  2. Submit a case study and pricing and check your documents are up-to-date.
  3. Request an assessment of your chosen case study.