Mastodon C

Big Data Done Better

Blog (page 1)

  • Join us on the march toward advanced data capability in our cities

    Shawn Jhanji 19 Apr, 2018

    Smarter use of city data is helping bustling metropolitan areas be better places to live. From generating useful insights in complex areas, to developing new public services, data is creating a new kind of infrastructure that’s growing to be as essential to successful city living as roads and utilities.

    On the 17th May, Mastodon C, with a group of fellow urban innovators, will be sharing insights into the data products and services that have been built over the past three years to address the problems towns and cities face. As well as sharing our stories, and showcasing what we have created, the event is a chance to explore what the future might hold for data driven innovation in cities. We’d love it if you joined us. Space is limited so book your place here.

  • We're Hiring! Sales Development Representative

    Francine Bennett 26 Mar, 2018

    We’re looking for a Sales Development Representative to help us attract, educate and win clients for our new city data tool, Witan.

  • How we'll help data science be a force for public sector good in 2018

    Francine Bennett 9 Feb, 2018

    Data science made a noticeable impact on the public sector in 2017. And it’s no longer just a small group of innovators who are putting data to work in their organisations. Projects such as the GLA’s datastore are helping the sector build a data infrastructure that will benefit us all.

  • Product Marketing Manager Job

    Francine Bennett 3 Feb, 2018

    We’re looking for a Product Marketing Manager to help us attract, educate and win clients for our new city data tool, Witan.

  • Finding useful answers in public sector data. The six-step cycle (infographic)

    Francine Bennett 19 Jan, 2018

    We know that making smarter use of data in the public sector is important to transformation and effectiveness - we’ve seen data put to work, by us and others, for purposes from detecting fraud to modelling the impact of new policies. But how does this process happen in practice? We’ve put together an infographic that illustrates a six-stage process that is common to data projects that have impact.

  • Looking for the latest examples of data science in action? Watch these highlights of Clojure X 2017

    Elise Huard 17 Jan, 2018

    ClojureX in London was fun and interesting. The event is a great opportunity to hear a range of people in the community share their ideas and experience - from colleagues in the data science consulting world, to authors of essential new tools and libraries, to new start-ups. The development of Clojurescript has attracted fresh faces from the javascript world which added something new to the event. I always enjoy seeing the Clojure community being so active and diverse.

  • How can you make sure your next data analytics project gets results?

    Francine Bennett 15 Nov, 2017

    The excitement about data needs to be balanced with an uncomfortable truth. Most data projects fail. Perhaps as many as 85%. This doesn’t mean your data modeling project or big data analysis tool is doomed. But it does mean you need to know how to swing the odds back in your favour. In this article we look at the reasons many data projects don’t deliver value. We also suggest practical steps you can follow to make your project a success.

  • Is data a "dirty word" in the public sector?

    Francine Bennett 20 Oct, 2017

    There is great potential and enthusiasm in the public sector for data-driven innovation that improves services and reduces costs. This was the key message that the Mastodon C team took away from a round table discussion with senior figures from the public sector this week. Yes, challenges remain around data skills, data governance and shaping the right approaches for data projects, but some clear patterns are emerging that show that data makes an impact at a local level.

  • Getting Started With Data Governance

    Bruce Durling 3 Oct, 2017

    Data governance is about giving your people and partners timely but compliant access to data. Whether it’s driving collaboration across departments or engaging external suppliers, an effective approach to data governance gives you control over data access and usage, whilst making sure you stay on the right side of policy, regulations and the law. All whilst being able to prove that you’re doing it right. With new regulations like GDPR making jail sentences possible penalties for data owners, that’s more important than ever.

  • How to approach analysing a dataset

    Seb Bailey 15 Sep, 2017

    Data exploration is perhaps one of the most important elements when designing a data science project. Exploring the data allows you to better plan your project and answer important questions - like whether your data can actually answer the questions you’re trying to answer. In this short guide we outline how we approach investigating a new dataset, step by step. Typically, with a new data science project you will be working with a new dataset. Investigation of the data (it’s content and composition), will help to inform how the project should proceed and whether the data can answer the question you are aiming to address.

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