Professional business write-up on Big Data and relevance in emerging market

A business writer is urgently required to do an extensive 3,000 words write up on Big Data and relevance within a third world context. The rationale for Big Data in emerging market will be built on the knowledge pillars below: 1) Need for real-time Big Data intelligence for accountable marketing : “What doesn’t get measured, doesn’t get managed” Peter Drucker 2) Measurement has become more difficult if we rely on the basic transactional data because of the Sophistication in customer behavior and how multivariable dynamics are changing customer behaviour 3) Fragmentation of media is making it most difficulty to pin down customers 4) Increasing economic pressure and declining margin means Marketing spend must become more accountable and real-time Big Data intelligence must be applied 5) 4 key trends driving the Big Data marketspace : Information Osmosis, Connected World, Social Network and Sensor Economy 6) Limitation of basic research information. The deception of traditional research where what customers tell you is out of variance with who they are. The big question is “Do customers really know what they want or our research has been asking the wrong questions? 7) Opportunity exists in data. The digitalization of media has led to the production of an enormous amount of data. And in this data lies the advanced marketer’s treasure in the form of consumer response patterns. These micro patterns give us insight into a number of key factors which we must use for designing our marketing process. 8) For example , POS intelligence systems to drive experiential retail strategy 9) Sensory engineering, ambient analytics , shopper analytics and artificial intelligence to develop a predictable customer experience during shopping in ways that can drive repeat purchase and upselling/cross-selling (making customers who bought A, also buy Y because a pattern of association has been established amongst 605 of previous buyers) 10) The Power of Big Data in driving Algorithmic marketing a. [login to view URL] b. Volume, Variety and Velocity of multi data sources 11) Case study of Big Data application in algorithmic marketing a. [login to view URL] b. [login to view URL] c. [login to view URL] d. [login to view URL] The piece must out in a high-beat;inspirational and journalistic formaton how Big Data will shape the future in a most convincing manner