The Power of Data

Date 26.04.2024
Category The Power of Data
Author Amy Dutton

Here at KaarbonTech, we’re driven by data, but how do we use multiple datasets for our assets?

How do we use data?  We collate data from a range of sources; from our customers, government agencies, mapping services and open-source data. We then clean this data, match it and merge it within our system to create an accurate, usable inventory. We  gather inspection data through ongoing surveys and programmes. This enables us to run insightful analysis and manage risk. 

Our continual research into new data and information sources allows us to build a better understanding of the risks posed to each asset. This ongoing innovation in data processing and analysis underpins our approach to developing solutions that are rooted in the power of data.

What do we mean by multiple datasets? Our systems contain an amalgamation of information designed to improve our understanding and add additional value. In a Gully SMART system, we can merge inspections and CCTV surveys, road data and flood zone information. This helps us build a risk score for a gully. Here’s how it breaks down:

  • Previous inspections: Showing historic silt levels (higher silt = high flood risk)

  • Flood zone information: Showing the areas which are more likely to flood (meaning that gully needs to be cleaned more often)

  • Road data: Showing Road class and speed limit (there’s a greater impact on high-speed roads if they flood, so these will need to be cleaned more often)

Using these datasets helps to build an accurate risk score for each gully.

What are the benefits of using multiple datasets?

Merging multiple datasets into one system allows us to build an accurate picture for each asset so they can then be risk-scored, and prioritised. The more information we have, the more accurate the risk-score will be. 

For example, using Gully SMART, more accurate risk scoring leads to more accurate and effective programming of cyclical cleaning, making flooding due to silt blockages a lot less likely. Multiple datasets allow data to be filtered by multiple fields, giving us more detailed insights and a greater depth of information on any asset.