Hello and welcome back to my blog!

Todays post will be about business intelligence and analytics for the purpose of  ”Big Data” analysis.

The sole purpose of Big Data analysis is to analyse and reveal patterns, trends, and associations that relate to human behaviour and interactions. Companies use this information to detect opportunities and risk that might occur within the use of their products or service, that could protect their businesses as well as  new and present consumers.

The article discussed in todays blog was written by Hsinchun Chen, Roger H. L Chiang and Veda C. Storey for Mis Quartley and is entitled “From Big Data to Big Impact”.

Business Intelligence and analytics focuses on the reflection of the overall magnitude and impact of  data related problems that might need to be resolved within contemporary platforms of business.

The article focuses on the capabilities and characteristics of intelligence research method areas BI&A, BI&A 1.0, BI&A 2.0 and BI&A 3.0, which are variated sequences of business intelligence and analytics, which looks at the evolution, application and emerging research through the mediums of text, web, network and mobile analysis.

The purpose of this method of research from a marketing perspective would be to understand the ways in which  businesses choose to gather and analyse  data, with the intension to reach a wider or broader market, through various new and old mediums of communication these methods of big data collection can be used to compare  the patterns of consumer behaviour to help companies make the best decisions for their business as well as new and existing consumers.

I hope you have enjoyed today blog,

Mavis

Reference

Provost, F., & Fawcett, T. (2013). Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data, 1(1), 51-59.