Reviewing Hermes’ data
production process

Hermes is an international logistics company operating across Germany, the UK, Russia, Austria, Italy and China. Hermes UK operate their own independent courier network delivering over 235 million parcels each year on behalf of some of the UK’s largest online retailers.

Over 235 million parcels
delivered each year

Hermes has a vast amount of data, and operates in a very competitive and rapidly changing industry. Data is at the heart of logistics – Hermes wanted to get an outside perspective on their entire data production process: tools, technologies, infrastructure, process and skills. The Data Shed was engaged to review these processes and deliver a critique of each area with proposals for improvement in each of them.

Over a period of 10 weeks, we spent a lot of time with the technical data teams at Hermes learning how data and insight is created, managed and disseminated within the organisation. Our review covered not only tools and technologies but process and people to ensure that any proposals made fit the organisation, previous investments and staff capabilities. We made a number of recommendations in each of these areas, some quick wins and others more challenging.

We presented a summary of our 25 page report back to the IT Director, the wider technical & non-technical teams. Our proposals covered 3 key areas and our recommendations are now being implemented through various projects.

  • Technology

    We identified a way of incorporating the ‘new’ world of Hadoop and Spark alongside tried-and-tested Oracle.

  • Process

    Incorporating test automation, continuous integration, unit testing and other similar techniques should result in higher quality software – and happier customers

  • Infrastructure

    Oracle is great at some things, however if you need a real-time data feed, then utilising Spark isn’t a bad idea!

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