The document presents an overview of data science using R and the Vanilla Air business intelligence platform, covering various tools and methodologies for data analysis, reporting, and visualization. It emphasizes the importance of data quality, standardization, and the integration of predictive models to enhance business decision-making. Additionally, it explores practical use cases across industries, including retail, pharmaceuticals, and beauty, to illustrate the impact of data analytics in understanding and predicting trends.

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