Companies are facing challenges to analyze Big data databases & data Lakes in uncertain technologies environment, in order to provide accurate analysis and build forecast model. In a context of budgdet constraints, the R project is a reliable alternative to legacy commmercial software to develop and deploy business analytics data model. R has a worldwide recognation and fast adoption from companies everywhere in the world. Together with Vanilla Air, everybody can start now a Data Science project and share his analysis in an instant. This session comes along with a presentation of the Vanilla Air, a new "cloud / on premise" Data Science platform to develop & deploy R data model at enterprise level

1. Data Science
With R & Vanilla Air
Business Intelligence &
Analytics - Data Science Platform
Patrick Beaucamp – patrick.beaucamp@bpm-conseil.com
General Introduction
II-SDV, Nice 19th April 2016

2. 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 !!!

3. Introduction
3Data Science with R & Vanilla Air
If you don’t find it, it doesn’t exist !
Document Data inside document

4. 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

5. Business Intelligence - Platform
5Data Science with R & Vanilla Air
Internal
Data
ETL Dwh BI DataViz

6. Business Intelligence Visualisation
6Data Science with R & Vanilla Air

7. 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

8. Data Science - Platform
8Data Science with R & Vanilla Air
Data Acquisition
(Internal – External)
Data Lake
(Hadoop)
Predictive
Engine
Data Viz

9. Data Science - Visualisation
9Data Science with R & Vanilla Air

10. Data Mining
Open Source Landscape
10Data Science with R & Vanilla Air
RapidMiner
Weka
Knime
R :
- Rstudio & Shiny
- RevolutionAnalytics (Microsoft R Server)
- Vanilla Air
- ORE (Oracle R Enterprise)

11. Interfaces Examples (1/2)
11Data Science with R & Vanilla Air

12. Interfaces Examples (2/2)
12Data Science with R & Vanilla Air

13. Commercial Corner
13Data Science with R & Vanilla Air
Visualization : Qlik - Tableau
Statistics : Matlab, Statistica, Stata, etc …
DataMining : SAS – SPSS – IBM Watson

14. Key Decision from FDA - 2000
14Data Science with R & Vanilla Air

15. Key Decision from FDA - 2014
15Data Science with R & Vanilla Air
Document : R-FDA.PDF

16. R Introduction
16Data Science with R & Vanilla Air
What is R ?
R is a programming language and software environment for
statistical computing and graphics.
www.R-project.org

17. R Common use cases
17Data Science with R & Vanilla Air

18. R in DataMining Landscape
18Data Science with R & Vanilla Air

19. R Challenges
19Data Science with R & Vanilla Air

20. Need for Development Studio
20Data Science with R & Vanilla Air
Web Based

21. Need for Visualization (1/4)
21Data Science with R & Vanilla Air
Shiny (R Studio)

22. Need for Visualization (2/4)
22Data Science with R & Vanilla Air
Jupyter Notebook (Python, Microsoft Azure)

23. Need for Visualization (3/4)
23Data Science with R & Vanilla Air
Apache Zeppelin (incubation project)

24. Need for Visualization (4/4)
24Data Science with R & Vanilla Air
Vanilla Air

25. R – Need for Enterprise Ready
25Data Science with R & Vanilla Air
Vanilla Air
Shiny Server
Microsoft R Server
Oracle R Enterprise
Very recently (end 2015) : R Foundation
Certified Packages Server Side Architecture

26. Vanilla Air Introduction
26Data Science with R & Vanilla Air

27. With R
Vanilla Air – R Package Management
27Data Science with R & Vanilla Air

28. Vanilla Air – Dataset Management
28Data Science with R & Vanilla Air

29. Vanilla Air – Workspace
29Data Science with R & Vanilla Air

30. Vanilla Air – WorkFlow
30Data Science with R & Vanilla Air

31. Vanilla Air – Parameters
31Data Science with R & Vanilla Air

32. Vanilla Air – Publish to Vanilla
32Data Science with R & Vanilla Air

33. Vanilla Air –Vanilla Visualization
33Data Science with R & Vanilla Air

34. II-SDV Event
34Data Science with R & Vanilla Air
Join Us :
WorkShop Wednesday

35. 35Data Science with R & Vanilla Air
Thanks for your attention
Try Vanilla Air:
Download and Share your Experience
Questions & Answers

36. Annexe
36Data Science with R & Vanilla Air
A Series of Screen
Vanilla & Vanilla Air

37. Vanilla BI - MetaData Explorer
37Vanilla Smart Data - General Introduction

38. Vanilla BI - Dashboard
38Vanilla Smart Data - General Introduction

39. Vanilla BI - OLAP
39Vanilla - General Introduction

40. Vanilla BI - KPI
40Vanilla - General Introduction

41. Vanilla Visualisation
41Vanilla - General Introduction

42. Vanilla Air
42Vanilla - General Introduction

43. Vanilla Air
43Vanilla - General Introduction
Dataset

44. Vanilla Air
44Vanilla - General Introduction
WorkSpace

45. Vanilla Air
45Vanilla - General Introduction
WorkFlow

46. Vanilla Air
46Vanilla - General Introduction
Markdown Support with Vanilla

47. Vanilla Smart Data Business Case
47Vanilla - General Introduction
 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

48. Vanilla Smart Data Business Case
48Vanilla - General Introduction
• 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

49. Vanilla Smart Data Business Case
49Vanilla - General Introduction
• 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

50. Vanilla Smart Data Business Case
50Vanilla - General Introduction
 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

51. Vanilla Smart Data Business Case
51Vanilla - General Introduction
 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

52. Documentations and tutorials available on our Web sites
www.bpm-conseil.com
www.vanillasmartdata.com
Thanks for your attention
52Vanilla - General Introduction