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The Coolest Projects we’ve Completed in 2018

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 time.

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

We’ve asked our consultancy team for their best project 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 improve efficiency, and the overall reliability of their data.

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

The client is now able to easily and accurately identify the road assets belonging to them, something which was proving to be difficult beforehand. Manual data collation and paper records have been replaced by automation and the digital alternative, resulting in better efficiency and lower operational costs.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 a 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 all of this time-consuming data preparation was replaced by a singular, integrated workflow which cut the time needed to complete the task from 14 days to less than 24 hours.

The time saved on their high-volume data preparation has saved Bibby HydroMap £20,000 per dataset!

  1. Warwickshire County Council benefit from OpenSource

Miso’s innovative solution will enable the council to produce a comprehensive travel-time matrix, using API feeds of open data.

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, and measure the distance of an asset from the start of a chart section (chainage). Data was harvested from CAD drawings. Users had to select each individual asset, copy its coordinates, and enter 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 key data processes. The results were so compelling that Costain now plan to use the solution in other upcoming major road schemes.

  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 risk human error affecting reliability. Miso used FME to deliver a solution which accurately identified parameters, automated the majority of data shifting, and flagged records which didn’t pass strict acceptance criteria. This saved the council time and money, whilst also ensuring that their data was of a suitable quality for future use and transfer into new systems.

  1. Environment Agency map asset and risk relationship

Environment Agency needed to understand the relationship between its assets, 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 hugely unstable as a process. The solution we provided handled multiple input datasets, automatically correlating asset, activity and species relationships, before combining the data in a variety of formats. The data was then integrated into the client’s pre-existing data management workflows.