Tuesday, 29 October 2013

Brainstorming the topic using PESTLE


Brainstorming the topic: Utilization of Data Analytics in development of under-developed countries - using PESLTE

What is a PESTLE Analysis?
PESTLE is an acronym for "political, economic, social, technological, legal and environmental." The purpose of a PESTLE analysis is to identify all of the various external political, economic, social, technological, legal and environmental factors that might affect a business

Political: political data analysis; data analytics in politics; data analytics and politics; data analysis and politics; data analysis in politics; data analysis in political development; development and data analytics/analytics; political trends and data analysis; data analysis in government; data analysis in institutions; the use of data analysis in political institutions/parastatals/organizations/organisations/ departments

Economics: economic data analysis; economic Analytics; economic analysis in ICT; economic development and data analysis; big data and economic analysis

Social: analyzing/analysing social network data; role of data analytics in social media; analysing/analyzing data from social media/social network; developing the social network with data analytics; improving the social network with data analytics; implementing data analytics in social network/social media; applying data analysis in social network; big data and social network

Technological: technical data analysis; growth of data analytics in technology; role of data analytics in technology; using data analytics for further development; exploring data analytics in technology

Legal: legal data analysis; role of data analytics in legal systems; using data analytics to combat crimes; using data analytics to capture criminals; using data analytics to prevent crimes; using data analytics to control crimes; using data analytics in criminal investigations; using data as evidence in court

Environmental: big data in environmental development; maps and data analytics; big data and the environment; environmental data analysis

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