This document discusses using linked open data and business intelligence analytics to analyze the pharmaceutical over-the-counter (OTC) medicines sector. It describes a pilot project using various public and private datasets on healthcare, social, economic, and political indicators to identify correlations between OTC liberalization trends and impacts. The LinDA analysis tools would be used to analyze correlations between these indicators, identify trends over time, and perform forecasting to provide business intelligence insights for stakeholders in the OTC sector.

1. Workshop 8d, 30 October 2014 eChallenges e-2014 1
Linked Open Data for EU SMEs
The case of Business Intelligence Analytics
Anastasios Zafeiropoulos, Ubitech Ltd./R&D Department
Athens, Greece
azafeiropoulos@ubitech.eu
Barbara Kapourani, Critical Publics

2. Workshop 8d, 30 October 2014 eChallenges e-2014 2
Business Intelligence Scenario
• Pharma Sector
• Goals
Business
Intelligence
Analytics Pilot
• Business Insights
• Indicators
Conceptualisation
• Public
• Private
Datasets
• Statistical
• Forecasting
LinDA Analysis

3. Workshop 8d, 30 October 2014 eChallenges e-2014 3
Pharmaceutical Sector
• Over-The-Counter (OTC) Medicines
– OTC price liberalisation
– OTC entry liberalisation
– OTC retail liberalisation
• Operating environment identification and assessment
– Health
– Economical
– Political
– Societal
• Examine relationships among diverse parameters, identify
correlations and try to imply causation
– Indicators recognition & connections

4. Workshop 8d, 30 October 2014 eChallenges e-2014 4
OTC
Liberalisation
Correlations
Trends
Impact
Business Intelligence Insights

5. Workshop 8d, 30 October 2014 eChallenges e-2014 5
Conceptualisation

6. Workshop 8d, 30 October 2014 eChallenges e-2014 6
Healthcare Indicators

7. Workshop 8d, 30 October 2014 eChallenges e-2014 7
OTC Indicators

8. Workshop 8d, 30 October 2014 eChallenges e-2014 8
Social Indicators

9. Workshop 8d, 30 October 2014 eChallenges e-2014 9
Economical and Political Indicators

10. Workshop 8d, 30 October 2014 eChallenges e-2014 10
LinDA Types of Analysis
Parameters’
correlation
between data
Correlation
Identify trends
Regression
Analysis
Decision
making based
on forecasting
Forecasting
Algorithms

11. Workshop 8d, 30 October 2014 eChallenges e-2014 11
LinDA Analysis for Correlations
• Correlations
– How is OTC liberalisation related with healthcare expenditures and
self-medication?
– Is the economical and political stability of a country somehow
related to the OTC liberalisation and/or sales?
– How is the PPP related to the unemployment and does this affect
the OTC liberalisation to a country?
– Are there any [Governmental, Industry] revenues on the countries
that the OTC have been liberalised?
– Is there any linkage between corruption and OTC liberalisation?

12. Workshop 8d, 30 October 2014 eChallenges e-2014 12
LinDA Analysis on Trends
• Trends
– What’s the trends on OTC prices, after the liberalisation?
– Which are the OTC sales trends, based on VAT changes?
– Which are the OTC revenues trends, based on GDP and/or crisis?
– Which are the trends in drug consumptions among different
population groups?

13. Workshop 8d, 30 October 2014 eChallenges e-2014 13
LinDA Analysis on Impacts
• Impacts
– What’s the impact of per capita growth rate to the OTC
consumption?
– What is the impact of the financial crisis to the OTC sales?
– Which are the countries that will benefit more from the OTC
liberalisation, based on population ageing?
– How does the educational level affect the OTC sales in country
basis?
– Do the OTC sales increase or reduce after the OTC liberalisation?
– Does the taxation has any impact on the OTC liberalisation time
or/and the sales/consumptions of OTCs?

14. info @
LinDA-project.eu
@LinDA_FP7
+
LinDA-project.eu
LinDAFP7
Thank you! Questions? Anastasios Zafeiropoulos| azafeiropoulos@ubitech.eu
Senior R&D Architect
Ubitech Ltd.| www.ubitech.eu