II-SDV 2016 Patrick Beaucamp - Data Science with R and Vanilla Air

Data ScienceWith R & Vanilla Air

Business Intelligence &Analytics - Data Science Platform

Patrick Beaucamp – [email protected]

General Introduction

II-SDV, Nice 19th April 2016

Presentation Agenda

2Data Science with R & Vanilla Air

Landscape for Statistics & Analytics- Open Source : R, Knime, Weka, RapidMiner- Commercial : SAS – SPSS - Watson- A Key Decision from FDA for R : december 2014

Demo Platform : Vanilla & Vanilla Air

Business Intelligence versus Data Science

R Platform Introduction… need for visualization and server-ready !!!

Introduction


If you don’t find it, it doesn’t exist !

Document Data inside document

Business Intelligence - Subject

4

Project Initialisation

• Requests for Report, Dashboard, to visualize data stored in production database

• Requests to access data from various database and build global activity report, kpi projects

• Projects to align number with process, to set global rules for calculation of Kpi, to deliver legacy reports, etc …

Focus on

• Data Quality & Data consistancy, using ETL & Data Quality tools

• Define rules to aggregate data, to standardize informations, to clean data, using Master Data Management tools

• Loading Data into Datawarehouse (ODS, DWH and DTM parts), using ETL tools

• Define Reports, Dashboard, KPI and Cube with end users, and adjust Datamart structure to comply with the

expectation

• Create Report, Dashboard, Cube and various Metadata to provide access to validated data

• Define Workflow to process - for example - data loading + kpi calculation + report creation

Business Intelligence• Reporting• OLAP (cubes)• Dashboards• KPI (performance indicators)• Maps (OSM support)

ETL & WorkFlow• Master Data

Management• Data Quality• Data Profiling

Data Science with R & Vanilla Air

Business Intelligence - Platform


InternalData

ETL Dwh BI DataViz

Business Intelligence Visualisation


Data Science - Subject

7

Project Initialisation

• Requests to understand why such data results are available – Business Question

• Request to cross existing information with additional information, to add value to existing data

• Projects to try to build model to understand data, such as clustering, association, decision tree

• Projects to try to build forecasting & predictive models

Focus on

• Platform & Components, such as predictive language (R is recommanded)

• External data analysis & integration : what are the external information which influence my data

• Analysing data and building model to explain correlation between data, impact on data input

modification

• Building statistics, analytics & predicative models

• Providing tools to advanced users to access data, visualize data, manipulate data

Data Science with R & Vanilla Air

Data Science - Platform


Data Acquisition(Internal – External)

Data Lake(Hadoop)

PredictiveEngine

Data Viz

Data Science - Visualisation


images/visu_indiv_autosurv.png

images/visu_indiv_autosurv.png

images/cercle_cor_new.png

images/cercle_cor_new.png

Data Mining Open Source Landscape


RapidMiner

Weka

Knime

R :- Rstudio & Shiny- RevolutionAnalytics (Microsoft R Server)- Vanilla Air- ORE (Oracle R Enterprise)

Interfaces Examples (1/2)


Interfaces Examples (2/2)


Commercial Corner


Visualization : Qlik - Tableau

Statistics : Matlab, Statistica, Stata, etc …

DataMining : SAS – SPSS – IBM Watson

Key Decision from FDA - 2000


Key Decision from FDA - 2014


Document : R-FDA.PDF

R Introduction


What is R ?R is a programming language and software environment for statistical computing and graphics.

www.R-project.org

R Common use cases


R in DataMining Landscape


R Challenges


Need for Development Studio


Web Based

Need for Visualization (1/4)


Shiny (R Studio)



Jupyter Notebook (Python, Microsoft Azure)



Apache Zeppelin (incubation project)



Vanilla Air

R – Need for Enterprise Ready


Vanilla Air

Shiny Server

Microsoft R Server

Oracle R Enterprise

Very recently (end 2015) : R Foundation

Certified Packages Server Side Architecture

Vanilla Air Introduction


With R

Vanilla Air – R Package Management


Vanilla Air – Dataset Management


Vanilla Air – Workspace


Vanilla Air – WorkFlow


Vanilla Air – Parameters


Vanilla Air – Publish to Vanilla


Vanilla Air –Vanilla Visualization


II-SDV Event


Join Us :WorkShop Wednesday


Thanks for your attention

Try Vanilla Air:Download and Share your Experience

Questions & Answers

Annexe


A Series of ScreenVanilla & Vanilla Air

Vanilla BI - MetaData Explorer

37Vanilla Smart Data - General Introduction

Vanilla BI - Dashboard

38Vanilla Smart Data - General Introduction

Vanilla BI - OLAP

39Vanilla - General Introduction

Vanilla BI - KPI


Vanilla Visualisation


Vanilla Air


Vanilla Air


Dataset

Vanilla Air


WorkSpace

Vanilla Air


WorkFlow

Vanilla Air


Markdown Support with Vanilla

Vanilla Smart Data Business Case


What does influence my sales ?

How weather can influence sales on product ?

If I can have some weather prediction, can I forecast my sales ?

Retail Industry



• How to find the better price for my product using more data sources ?• How social media comments on a product can influence its price ?

Purchase Platform



• Why some products are damaged during the transport: which product ?which transporter ?

• What external events like weather or transport duration can explain the situation ?• What is the best transporter for specific products based on weather forecast ?

Pharmaceutical Industry



How does temperature evolution and weather impact pathologies

How does holiday & week-end impact pathologies

How the patient are splited in different groupes, based on pathologies, age, gender …

Hospital Analysis



How does social media impact sales

How to get alerts when social media start discussion on my products

How to set alerts on various « products / social media activity » (including

competition) and evaluate impact on my sales

Beauty Industry

Documentations and tutorials available on our Web sites

www.bpm-conseil.com

www.vanillasmartdata.com

Thanks for your attention


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II-SDV 2016 Patrick Beaucamp - Data Science with R and Vanilla Air

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