- Project status
- Project start date
- Not specified
- Project posted
- 2 May 2019 19:06
- Project duration (approx.)
- 1.0 Day
- Budget (approx.)
- US$1000 / day
- Area of expertise
- Big Data / Data Analytics
- Consultant location
- United States
Objectives and Key Deliverables
We are a private equity backed oil services company looking to take greater advantage of the IOT data from our assets in the field.
We have sensors attached to our equipment which feeds data into an Oracle system. Currently this data is then downloaded into Excel and analysed- a process which takes two weeks to bring out any insights and limits our ability to understand performance. The data should be helping us understand more about our business performance and we want to extract this data into a statistical model which will help us get instant visibility on what is going on across the organisation.
We want someone to help up prove that this can be done and help us understand which platforms we can do it through.
Ideally this will kick off in May and could take around a month to at least prove that it is possible. If the concept is proven on a couple of metrics, we could roll this out to 16-24 key metrics we want to capture and understand. This phase would also include which platform should be used as the analysis scales. As a result, someone open for a longer term opportunity would be a preference.
Open on anywhere in the US as our current analytics team is not based in our HQ in Houston.
Our chosen candidate will have experience in IOT time series data analytics looking at changes within data- for example preventative maintenance analytics would be one similar area.