introduction to mango
TRANSCRIPT
OVERVIEW OF MANGO
Who are Mango?
• Providers of Data Science Software and Services
• Premier provider of services for the R language
• Private company founded in 2002• Offices in UK & presence in Europe & US.• ~50 people• Development and Services in line with
ISO 9001 and FDA guidelines
In a Nutshell
With a unique mix of Data Science, Software
Development and IT expertise, Mango helps companies to
choose, implement and deploy the right analytics to
drive their business decisions
3 Core Teams @ Mango
Customer-focused analytic consultants with math/stat
backgrounds using technologies such as R,
Python, SAS, Spark & Julia
Software Developers building rich analytic web or desktop applications using
technologies such as Java, .NET and JavaScript
IT Consultants creating and supporting robust,
performant and scalable analytic infrastructure using
server, grid or cloud
Mango Analytic Services
On-site training on Data Science theory and tools for analysts and business users
Training
Consulting
Technologies
Infrastructure
Scale
Deploy
Targeted consulting to design and implement the right analytic methods
Training and support to assess, adopt and validate analytic tools
Design, creation and support of modern analytic platforms for the enterprise
Support for scaling analytics and data to optimise data science application
Creation of rich, analytic applications that put tools in the hands of decision makers
R Specialists
• R is the most popular analytic technology in the world today
• Mango are the premier suppliers of R services:• Training & Consulting• Code Migration• R Infrastructure• Support & Maintenance
• Mango manage many R user events (such as LondonR) and the London & Boston EARL ( Effective Application of the R Language ) conference
• Mango’s co-Founder and Chief Data Scientist, Richard Pugh, is President of the global R Consortium
EXAMPLE CASE STUDIES
Training Case Studies
Mango have delivered a number of “SAS to R” training courses including 250 SAS users from a single large organisation as part of a migration project
SAS to R Migration
Analytics for Business
Data Science Series
Mango’s “Analytics for Decision Makers” courses and workshops focus on the application of analytics to meet business challenges and drive better decision making
Mango have created and delivered full data science programmes, including analytics, data management, technologies and presenting results
The R LanguageMango are the premier provider of R training in the world today, having delivered face-to-face R training to over 4,500 people over the last 8 years
Consulting Case Studies
Mango modelled ~€7bn of mortgage assets for a major financial company, simulated the impact of different asset management behaviours
Pricing Mortgages
Marketing Clothes
Employee Value
Mango analyzed and modelled possible future marketing strategies for an online clothes retailer
Mango modelled employee value and “happiness” for a major accounting firm, guiding the awarding of quarterly bonus payments
Maximize Auction SalesMango modelled data from a major auction house to maximise possible revenues from sales based on auction strategy
Technologies Case Studies
Mango supported the migration from SAS to R as a production platform for a major financial company, including direct code migration
SAS to R Migration
Validated R
Analytic Design
Mango have provided controlled and validated R builds for companies, primarily those working in heavily regulatory industries
With their mix of analytic and IT experience, Mango are often asked to advise on the design of data and analytic platforms for innovation or production purposes
Big DataMango’s experience of real-world big data projects allows Mango to advise and implement infrastructure based on Hadoop and similar technologies
Infrastructure Case Studies
Mango have designed, built and supported a range of analytic platforms to standardise data science workflows and promote best practices
Analytic Platforms
Analytic Knowledge
DDMoRe Project
Mango have created applications that allow analytic knowledge to be centralised, managed, discovered and repurposed
Mango are technical architects and primary developers for DDMoRe, a European project to build standards and platforms to drive innovative drug discovery
Utilities PlatformMango created a production-grade R environment for a major utilities company that is used to execute mission-critical risk models
Scale Case Studies
Mango enhanced a healthcare insurance portal for a large financial company, making it more robust and scalable for real-time claim processing
Healthcare Portal
Execution Portal
Parallelized HPC
Mango created the Mango Interoperability Framework, a software component that allows for managed execution of analytic tools on a wide range of technical platforms
Mango have designed and implemented a number of highly parallel “cluster” computing environments to optimise the performance of modelling and simulation tasks
Cloud BurstingMango have implemented a number of projects using cloud and “cloud bursting” approaches to provide secure “on demand” scaling for organisations
Deploy Case Studies
Mango built an application to optimize the recipe of a famous household coffee brand via a simple user interface
Coffee Blend
Analytics for Business
Key Drug Decisions
Mango created an application that allows maintenance teams at a major oil company to predict possible faults in supply lines
Mango created an application used by a global drug safety board that supported and recorded key drug milestone decision making
Mobile Signal DemandMango worked with a large telecoms company, building an application to predict mobile signal demand across their network