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Monday, 14th September - Workshops, Registration and Welcome Network Reception

0900­-1000 hrs Registration and Morning Tea/Coffee
1000-1130 hrs WORKSHOP 1: Integrating R and Python - An Introduction to Using Both in a Data Analysis Pipeline
by Chris Musselle
Discovery Suite
WORKSHOP 2: Current Best Practices in Formal Package Development
by Aimee Gott
Tower 3
1130-1145 hrs Morning Break - Tea/Coffee served
1145-1300 hrs Workshop 1 continued Workshop 2 continued
1300-1400 hrs Registration and Afternoon Tea/Coffee
1400-1530 hrs WORKSHOP 3: Introduction to Rcpp
by Dirk Eddelbuettel

Discovery Suite
WORKSHOP 4: Interactive Reporting with R Markdown and Shiny
by Joe Cheng
Tower 3
1530-1600 hrs Afternoon Break - Tea/Coffee
1600-1700 hrs Workshop 3 continued Workshop 4 continued
1800-1900 hrs Registration in Tower Foyer & Bridge 1 & 2
1900 until late Welcome Evening Drinks and Network Reception.
Sponsored by:
Tower Foyer & Bridges 1 & 2

Tuesday, 15th September - Day 1 - Tower Suites

0800­-0900 hrs Registration and Arrival Tea/Coffee and Sweet or Savoury Pastries
0900­-0910 hrs Opening and Welcome
Richard Pugh and Matt Aldridge, Mango Solutions
0910-0955 hrs Opening Keynote 1
Alex Bellos
0955-1040 hrs Opening Keynote 2
Joe Cheng
1040-1100 hrs Mid-Morning Refreshments Tea/Coffee and Sweet or Savoury Pastries
Towers 1 & 2
Tower 3
1100-1230 hrs Session 3 - Modelling
  • Communicating Risk - a Perspective from an Insurer
    by Markus Gesmann, Lloyd's of London
  • R for Operational Risk in UniCredit
    by Fabio Piacenza/Ivan Danesi, UniCredit
  • Social Network Analysis in R Applied to Stroke Patients' Health Behaviours
    by Amar Dhand, Washington University in St Louis
Session 2 - Applications
  • Using R components in Business Critical Real Time Applications - Global Overview and Architecture/Components
    by Dr Ulf Schepsmeier, Allianz
  • R IT Environments and DSWB
    by Kate Ross-Smith, Mango Solutions
  • Leveraging Existing IT Testing Infrastructure to Manage the Testing, Deployment and Maintenance of R Applications
    by Sergiusz Bleja, TIM Group
1230-1330 hrs

1330-1500 hrs Session 5 - Visualization
  • Datascience Solution to Event Prediction in Outsourced Clinical Trial Models
    by David Ruau, AstraZeneca
  • Building Interactive Visualizations with Shiny to Explore Data from Social and Health Care in UK
    by Armando Viera, DataAI
  • The Power of Maps with R
    by James Cheshire, UCL
Session 4 - Business Challenges
  • Making Business Personal
    by Matt Shepherd, Aimia
  • ZeRo to HeRo - The First 12 Months of R at BCA, First Installation to Benefits Realisation
    by Ben Downe, BCA
  • Defining and Creating a Data Scientist with R
    by Richard Pugh, Mango Solutions
1500-1530 hrs Afternoon Refreshments Tea/Coffee and Sweet or Savoury Pastries
STREAM 3 - Tower 1 STREAM 2 - Tower 2 STREAM 1 - Tower 3
1530-1700 hrs Session 8 - Workflow
  • R in Market Research: R Handling 'wide' (not 'big') data
    by Shad Thomas, Glass Box Research
  • Board packs: combining shiny, LaTeX an databases for full effect
    by Stephanie Locke, Mango Solutions
  • R for Standard Reporting
    by Nicole Klir
Session 7 - Big Data Technologies
  • Automatic Driver Identification with Decision Tree Methods for Building Powerful Predictive Solutions
    by Jerry Shan, HP
  • Easily Access and Explore your Hadoop Big Data
    by Ana Costa e Silva, TIBCO
  • Divide and Recombine your Large Datasets with Tessera and Visualise them with Trelliscope
    by Enzo Martoglio, Steria Sopra
Session 6 - Big Data Challenges
  • Apache Spark and R; A Big (Data) Love Story
    by Mark Sellors, Mango Solutions
  • Assessing Rare Outcomes: Using R to Simulate a Lottery
    by Joshua White, KPMG
  • Enabling R for Big Data with PL/R and PivotalR: Real World Examples on Hadoop & MPP Databases
    by Woo Jung, Pivotal
1700-1900 hrs Network Reception Pimm's and Canapés in the Tower Foyer & Bridges 1 & 2
Sponsored by:
1930-2330 hrs Conference Evening Reception @ The Tower Bridge Walkways

Wednesday 16th September Day 2 - Tower Suites

0830-0900 hrs Registration and Arrival Tea/Coffee and Sweet or Savoury Pastries
0900­-0950 hrs Opening Keynote 1
Hannah Fry
0950-1040 hrs Opening Keynote 2
Dirk Eddelbuettel
1040-1100 hrs Mid-Morning Refreshments Tea/Coffee and Sweet or Savoury Pastries
STREAM 2 - Towers 1 & 2 STREAM 1 - Tower 3
1100-1230 hrs Session 11 - Modelling
  • Cars, Customers and Cons: Predictive Analytics Versus the US Insurance Market
    by Declan Groves, Allstate
  • Using R to Model Multi-Billion Dollar Mortgage Assets
    by Aimee Gott, Mango Solutions
  • What will Happen Next to this patient? Predictive text Mining in a Specialist Cancer Hospital
    by Tom Liptrot, The Christie NHS Foundation Trust
Session 10 - Commercial Applications
  • R & CrossMedia™ Research - Analytics for Media Channel Optimization
    by Juan Manuel Hernández, Millward Brown
  • Implementation and Usage of R in a Life Insurer
    by Chris Reynolds, PartnerRe
  • Convince your HiPPO with Real World Data Storytelling in R and Machine Learning
    by Jennifer Stirrup, Data Relish Ltd
1230-1330 hrs Lunch
1330-1500 hrs Session 13 - Modelling
  • Cash Collection Forecasting Utilities
    by Eliano Marques, Deloitte
  • JDE Use R Applications to Help Make & Confirm Better Coffee Blends for Consumer
    by Jeff Stagg, Jacobs Douwe Egberts
  • Court Red-Handed! Detecting Match-Fixing in Tennis Using R
    by Tim Paulden, ATASS Sports
Session 12 - Business Challenges
  • Analytics: Creating the Bias for Action
    by Alex Hancock, Shell
  • Replacing SAS by Stealth: Creating a Central R Graphics Library
    by Andy Nicholls, Mango Solutions
  • Solving Business Issues in Big Pharma and Fintech using R
    by Alastair McKinley, Analytics Engines
1500-1530 hrs Afternoon Refreshments Tea/Coffee and Sweet or Savoury Pastries
STREAM 3 - Tower 1 STREAM 2 - Tower 2 STREAM 1 - Tower 3
1530-1700 hrs Session 16 - Big Data Technologies
  • Simplicity and Performance: Leveraging Oracle Database Features with Oracle R Enterprise
    by Lorea Arrizabalaga, Oracle
  • Apply the R Language in Real Time and Streaming Applications
    by Lou Bajuk-Yorgan, TIBCO
  • Distributed R - Bring scalability and performance native to R
    by Sunil Venkayala, HP
Session 15 - Workflow 2
  • Creating Rich Analytic Presentations with the RCloud Framework
    by Douglas Ashton, Mango Solutions
  • Leveraging Bloomberg data for systematic investment in equity and other asset classes
    by Giles Heywood, Amber Alpha Ltd
  • Reproducible Data Analysis with Revolution R Open
    by Andrie de Vries, Revolution Analytics
Session 14 - Applications
  • R vs Julia - a comparison
    by David Jessop, UBS
  • Optimising Hybrid Statistical & Judgmental Models in SME Lending: A Story of Shiny, Interactive Analysis & Feedback Loops
    by Marina Theodosiou/Sofia Palazzo, Funding Circle
  • Creating an Analytic Decision Portal with R and the Flask framework
    by Chris Musselle, Mango Solutions
1700-1730 hrs Conference Closing Remarks - Matt Aldridge and Richard Pugh

Please Note: Mango Business Solutions Ltd reserves the right to make any necessary changes to the agenda. Every effort will be made to keep presentations and speakers as represented. However, unforeseen circumstances may result in the substitutions of a presentation topic or speaker. Mango Business Solutions Ltd reserves the right to use photographs of attendees for future promotions. The total liability during the precise hours of the meeting will be limited to a refund of the delegate's fee. Audio, Video Taping and/or Photography is prohibited without the prior permission of Mango Business Solutions Ltd. Mango Business Solutions Ltd is not responsible for loss or damage to personal property.

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Mango Solutions is a data analysis company headquartered in the UK. With offices throughout the world we deliver tailored training, consulting and software. We assist our customers in harnessing the power of complex statistical analysis to support business critical decisions. For more information please visit +44 (0)1249 705 450.


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