The coolest projects we’ve completed in 2018

By Josh Crampton on December 13, 2018. Categorised in Consultancy



2018 marked our 20th year of partnership with Safe Software, and we’re really proud of the value that we’ve been able to provide to our customers during that relationship.

During these past 12 months, we’ve really raised the bar in terms of the scale and complexity of the projects we’ve delivered.

It wouldn’t be December without a list-style post, so we’ve asked our consultancy teams for their best picks. In no particular order, here goes:

  1. A-One+ enjoys a 75% reduction in human hours

A-one+ were looking for a way to tidy their existing records, as well as automating data processes to prevent these negative impacts on their operation.

Thanks to miso’s solution, the data quality of A-One+ has been dramatically improved.

They were able to easily and accurately identify the road assets belonging to them, something which was proving to be difficult beforehand. Manual data collation and entry was replaced by innovative automation, resulting in higher process efficiency and lower operational costs.

  1. Bibby HydroMap slash time spent on data preparation with single automated process

Previously, it would take two members of staff over 14 weeks per year to process an average of 1.5 terabytes of data for each project Bibby undertook. The manual hand-cranking, and use of multiple software tools was costly and often caused project delays.

A bespoke solution developed and delivered by miso meant that there was a singular, integrated workflow to automate this high-volume data preparation.

With our solution now in-place, the process that previously took 14 days now takes less than 24 hours! This has saved Bibby HydroMap £20,000 per dataset completed!

  1. Warwickshire County Council benefit from OpenSource routing and modelling

Miso’s innovative solution will enable the council to connect to an API with open location data fed from OpenSource routing, in order to produce a comprehensive travel-time matrix.

The project is currently in its final stages, and involves Vectos MicroSIM as a consultancy partner.

The solution allows the council to accurately model their entire road infrastructure, taking into account variables such as traffic impact etc.

  1. Costain cuts key process time with the help of miso

Costain needed to generate x and y coordinates of assets, as well the distance of an asset from the start of a chart section (chainage). To ensure accuracy, data was gathered from CAD drawings with users selecting each individual asset, copying it’s x and y coordinates and entering the detail into an excel spreadsheet.

Miso delivered an FME-based solution that dramatically reduced the time and amount of manual intervention needed to complete a key data process. The results were so compelling that Costain now plan to utilise our solution in other upcoming major road schemes.

Click here to read more.

  1. East Staffordshire Borough Council update planning, building control & land charges

Planning, building control, and land charge data held by East Staffordshire Borough Council was recorded prior to Ordnance Survey improving MasterMap location accuracy throughout the 2000’s (PAI programme).

Updating all of their records to fit with the new standards would be extremely labour-intensive and run the risk of human error. Miso used FME to deliver a solution which accurately identified parameters, automated the majority of data shifting, and flagged records which didn’t pass the strict acceptance criteria. This saved the council time and money, whilst also ensuring that their data was of a suitable quality for future usage and transfer into new systems.

  1. Environment Agency map asset and risk relationship

Environment Agency needed to understand the relationship between its assets and activities, and various at-risk species in order to effectively protect them.

The data that had been collected regarding these elements was stored in different databases, meaning that the organisation had to rely on manual look-ups. This was costly and unstable as a process. The solution we provided handled multiple input data sets, automatically correlating asset, activity and species relationships, before combining the data in a variety of formats which integrated into pre-existing data management workflows.