Hello and welcome back to my blog!

Todays post will be a continuation of the previous topic on “Big Data” looking at a video created by Shyman Sankur entitled “The rise of human- computer cooperation”

http://www.ted.com/playlists/56/making_sense_of_too

Shyam Sankar debates the notion that algorithmic formulas used in computer softwares for Big Data detection can not solely be used to resolve the world’s problem and presents an additional perspective which shows the symbiotic relationship between computation and human creativity.

From a marketing research based perspective businesses need to decide whether or not the physiological patterns found within a consumers buying habits can conclusively be used to back up the desires for simple functionality and easy access to modern  technologies  which  relieve  us a consumers notion of actually having put any real work into the products or services we use.  The information collected within Big Data surrounding this subject can sometime lead companies down a grey path especially when information collected is randomised and a particular type of product or service is predominant  during the analysis of their findings.

I hope you have enjoyed todays blog for the full article I will leave a link below as well any additional referencing that might have been used in todays post.

All the best,

Mavis

References

http://www.ted.com/playlists/56/making_sense_of_too

Ted, Shyam Sankar: The rise of human-computer cooperation, 2014

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.

Hi my name is Mavis Williamson I am a 24 year old student at the University of Brighton in East sussex. This blog is solely for the use of Digital Marketing analysis and will be used to analyse current debates and issues within the world of advertising through the medium of social media, feel free to follow my journey here.

All the best,

Mavis

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