By Chris Campbell As another new baby card is passed around the office, and the latest cute baby pictures are emailed out, a discussion is underway. Could it be true? Something in the water? An elixir of fertility that should … Continue reading → [Read more...]

By Hannah Evans Sound familiar? All businesses have data. But whether it is used to drive business value is another question entirely. Traditionally, technical analysts have made decisions about data technology, without truly understanding the business challenges beforehand, meaning that … Continue reading → [Read more...]

By Chris Musselle This is the third post in a three part series where I have explored the options available for including both R and Python in a data analysis pipeline. See post one for some reasons on why you … Continue reading → [Read more...]

By Paulin Shek If we rewind back a couple of weekends ago, you will find fellow Mango consultant, Chris Musselle, and I deep in survey data, pulling in lots of open data and utilising all our skills to work with a … Continue reading → [Read more...]

    by Mark Sellors, Mango Solutions @sellorm  Mark Sellors from Mango took the Data Science Radar Challenge and his dominant skill was a Technologist, so we asked him a few questions. 1.  Tell us a bit about your background … Continue reading → [Read more...]

The Drug Disease Model Resources (DDMoRe) Consortium has been created to improve the quality, efficiency and cost effectiveness of Model-Informed Drug Discovery & Development.  it is a five-year project of the Innovative Medicines Initiative (IMI, www.imi.europa.eu) with 26 stakeholders from … Continue reading → [Read more...]

by Henrik B Nyberg, Mango Solutions   Tell us a bit about your background in Data Science. During the final year of my master in chemical engineering I steered away from lab work and the large scale industrial applications. Computers … Continue reading → [Read more...]

By Doug Ashton – Data Scientist, UK Just like you I like to try out all the latest tech. If there’s a new feature in Shiny then I’ll download the latest version without thinking. I’ve currently got 4 versions of … Continue reading → [Read more...]

by Kate Ross-Smith, Mango Solutions @LaSystemistaria 1. Tell us a bit about your background in Data Science.  I’m not sure I have one. I trained as a Design Engineer and then a Systems Engineer, and up until now I’ve worked … Continue reading → [Read more...]

by Brian Mitchell, Mango Solutions Here at Mango we take testing very seriously and as the automated tester in the company I take it more seriously than most. Automated testing does exactly what it says on the tin, it allows … Continue reading → [Read more...]

by Steph Locke, Mango Solutions @SteffLocke Steph Locke Data Science Radar – Nov 2015 1. Tell us a bit about your background in Data Science I started off as a Product Analyst doing a bit of this, a bit of … Continue reading → [Read more...]

by Doug Ashton, Mango Solutions @dougashton  Doug Ashton Data Science Radar – Nov 2015 1. Tell us a bit about your background in Data Science. I was a physicist for 10 years where I used Monte Carlo simulations to solve … Continue reading → [Read more...]

By Paulin Shek Despite being only a day conference, a large range of topics were covered over many sectors, with a very long list of impressive speakers. This event was a great opportunity to see what technologies and architectures work … Continue reading → [Read more...]

By Hannah Evans Big Data Week London 2015: a festival of social data around the globe. Fantastically organised and executed by all, the event brings together 400 speakers in 40 different global cities to provide a series of workshops, training, … Continue reading → [Read more...]

By Steph Locke Here at Mango Solutions, we do a lot of data science consultancy work. This means we face the challenges that any organisation looking to build and maintain a data science facility face. The principal challenge is acquiring … Continue reading → [Read more...]

By Steph Locke Announced in June 2015, the R Consortium aims to support the R ecosystem and community and help grow the adoption of R. To deliver on these aims, the R Consortium has an Infrastructure Steering Committee (ISC). The … Continue reading → [Read more...]

By Paulin Shek Working at Mango is generally busy, fun, but also at times, quite surreal. Lunchtime conversation amongst the consultants can get quite animated, especially when Andy Nicholls, the Head of Consultancy, finds a topic that he has a … Continue reading → [Read more...]

By Aimee Gott At EARL 2014 I saw Hadley Wickham using the pipe operator from Stefan Milton Bache’s magrittr whilst also presenting the functionality of dplyr. I remember thinking at the time that this was going to be the new … Continue reading → [Read more...]

By Hannah Evans “By 2018, the United States will experience a shortage of 190,000 skilled data scientists and 1.5 million managers and analysts capable of reaping actionable insights from the big data deluge.” (McKinsey) The ‘data scientist’: an increasingly valuable, … Continue reading → [Read more...]

Last week Mango Solutions’ Principal Consultant, Stephanie Locke, presented Analytical Web Services for the RBelgium user group. Check out the full recording of her presentation here: Analytical Web Services : In your day job, you might build some awesome bits … Continue reading → [Read more...]