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Advanced
Data Analytics

We use machine-learning, statistics and visualisations
to help our clients make the most of their data.
Want to work with us?

Modern organisations collect huge amounts of data. Hidden in this data are insights that can help understand and improve performance

Data science is the use of statistical-analysis and software-development to extract knowledge from data.

Continuing advances in computing power allow us to use advanced techniques to identify patterns and make predictions and recommendations.

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Machine
Learning
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Predictive Modelling
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Natural Language Processing
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Monte Carlo Simulations
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Data Visualisation
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Data Engineering
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Statistics
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A/B Testing
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Cluster Analysis
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Forecasting
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Decision Theory
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Propensity Modelling
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  • 18 St. Cross Street, 4th Floor
  • London EC1N 8UN
  • info@iodatascience.com

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  • Springer Nature
  • Department for Transport
  • Ministry of Justice

I/O data science Ltd

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  • 18 St. Cross Street, 4th Floor
  • London EC1N 8UN
  • info@iodatascience.com
  • Company Number: 11940969
  • VAT Number: GB 321 9967 79
  • I/O data science Ltd is registered in England and Wales
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Springer Nature

Springer Nature is a publisher of scientific text-books, magazines and more than 3000 scientific journals including Nature. I/O data science was contracted to establish an in-house data science team and build the necessary data infrastructure, including an analytical platform and associated data pipelines. We also worked with our client to deliver a number of bespoke data science products.

  • We built dashboards and data visualisations to monitor the editorial workflow of manuscripts from submission to acceptance.
  • We developed Monte-Carlo simulations and financial models to predict the turn-around times and costs of processing manuscripts.
  • Our client wanted to improve the matching of manuscripts to editors. We developed a system to categorise manuscripts and editors using NLP and then predict the probability of a match using machine-learning.
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