Whether you are working in government, utility or transportation industries, the one thing that most people would agree on, is that data has never been quicker and easier to obtain.
With this, the amount of data that can and is collected, has increased exponentially in a number of areas. What arguably has not become easier, is managing the data.
This presentation will discuss the fact that while we have a great deal of data, both spatial and non- spatial, available to us in a variety of forms, being able to manage this data and obtain reliable, sensible and truthful information is a challenge.
It will provide case studies showing examples of how data is being obtained and then utilised for a variety of purposes. They will show that the data provided was not suitable for various reasons and how by using simple business rules, data was validated. In addition, it will be shown that where data has not complied to the business rules, data can be rectified to ensure it will validate and thus allow it to be used with confidence going forward.
Ultimately being able to use the business rules to create and extract additional intelligent information from the validated and corrected data.
The case studies will include examples of:
- Data sets being used for the creation of 3D models for the use of asset management.
- Refining data utilised in the transportation industries.
- Automated creation of assets for utility organisations.
- Mobile applications for dynamic validation.
Time & room
3.30 pm–3.45 pm in City Room 3
Mr Andrej Mocicka
Date & venue
Friday, 25 October 2019 at the Adelaide Convention Centre