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Seasons Greetings & Number 1 Data Consultancy on Google

  |   Blog

2016 has been another fantastic year at Data to Value.  We’ve really enjoyed working with a number of new and existing clients across a range of sectors including Renewable Energy, Banking, Hedge Funds, Non Government Organisations and Government departments. Thanks again to all our clients, staff, partners and also meetup group attendees for making it such an enjoyable and interesting year and best wishes for a pleasant christmas break and a happy 2017!


On another note we are also pleased to report that Data to Value have made it to the number 1 Data Consultancy spot on Google (excluding paid ads).  Big thanks to our partners, customers and supporters for making this happen!

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Ride London Data Visualisation 2016

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pru dashboard 2



pru dashboard



Congratulations to all Ride London participants! We enjoyed watching and supporting Prudential Ride London 2016 in the sunshine and in response to numerous requests to repeat the dashboard we produced in 2015 we are pleased to say we have created 2 dashboards for 2016:




We hope people enjoy taking a slightly different look at the results. Its probably worth mentioning a few caveats however:


  • The results obviously have nothing officially to do with Prudential Ride London and are based on a snapshot from a couple of days after the event.  Thus they may be out of date, for official up to date results please go to the official website.


  • Some cyclists were diverted.  These times are covered by the visualisation but are not separated out making like for like split times in some cases not possible.


  • Given the data available we had to recalculate pace and average kph stats.  These are slightly out of kilter from official stats we believe due to different decimal places in rounding.
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The Panama Papers – how did they pull off history’s biggest data leak?

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Find out how Data to Value’s Graph Data software partners Neo4j and Linkurious have been used in the Panama Papers investigation.


Recently there has been a lot of interest around the newly published Panama papers. This giant trove of data that is said to contain a whopping 11.5 million documents or 2.6TB of data. This completely dwarfs pervious leaks like the 1.7GB WikiLeaks scandal or the 30GB Ashley Madison leak. It took two years, more than 400 journalists and cutting edge technology solutions to process all of this information and gain valuable insight.


The data was leaked from one of the world’s leading firms in incorporation offshore entities – Mossack Fonseca. The data was then gradually transferred to a German journalist that worked in the Süddeutsche Zeitung (SZ) via encrypted chat. The real work began shortly after the data started pouring in, as the SZ was not able to make sense of data that size and got in contact with the International Consortium of Investigative Journalists (ICIJ) to find a way of handling these millions of documents. The ICIJ were very efficient and very prudent when handling this data. The data and its copies were stored in encrypted drives using open-source software – VeraCrypt. The choice was made to use Apache Solr – as the main search server coupled with Apache Tika, a toolkit that detects and extracts metadata and text from over a thousand different file types. This made it possible for a seamless and near real-time way of searching different file types, such as PDFs, Word documents and emails. A custom UI developed by Blacklight was put on top of the solution for ease of use. Once built one of more than 400 journalists needed a link and a randomly generated password to start discovering interesting data.


To make sense of the highly connected and complex data the investigators decided to ask the help of two of our software partners – Neo4j and Linkurious. Using Neo4j, the world’s leading graph database, made it easy to find and analyse complex connections as graphs use special structures incorporating nodes, properties and edges to define and store data. Linkurious, a graph visualisation platform helped the journalists to navigate through this ocean of data uncovering unique insights into the offshore banking world, showing the relationships between banks, clients, offshore companies and their lawyers.


The entire dataset of the Panama Papers is expected to be released early May. For more interesting articles about finding meaning in data visit our website and follow us on LinkedIn or Twitter.

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