Convinced about the potential of Big Data but looking for concrete examples of how it can help you - as a marketer – to gain a 360 view of consumers, up the customer experience and drive revenue? Well here are five goodies that Big Data tools have to offer to woe and keep clients.
Cities of today are true magnets, attracting people from all around with their exciting opportunities. While in 1950 a ‘mere’ 29.1% of the world population lived in cities, this figure jumped to 50.6 % in 2010 and it is predicted to evolve to 64.7% by 2040. The numbers are simply staggering, especially when we realize that urban areas occupy a mere 2% of the world’s surface.
These are trying times for those in the healthcare industry, which no longer profit from their former status of seemingly sacred immunity. Healthcare providers of today need to continually prove that they are worth soliciting by delivering high-quality and efficient care services. For the sake of the patient but also to drive their own revenue and minimize expenses. To heighten the challenge, healthcare is turning into a consumerized market, with patients transformed into highly informed, critical and aware customers. If they check out a medical provider and they don’t like it, they will shop elsewhere.
posted on Fri, January 11 2013
in Analytics, Big Data
International Data Corporation (IDC) has released its ‘Worldwide Big Data Technology and Services 2012-2016 Forecast’, predicting that revenues for the global big data technology market will reach $23.8 billion by 2016. This will be the result of an annual growth rate of 31.7 % which is a staggering sevenfold of the rate of the entire ICT market.
posted on Thu, January 10 2013
in Analytics, Big Data
A recent survey by the Actuate Corporation – focusing on Global 9000 firms (companies with more than $1 billion in annual revenues) – revealed that 26% of the responding companies were currently working on Big Data projects while 34% said they resided in a planning and evaluating phase. A sizeable 40%, however, of respondents admitted that they did not have any concrete projects in the pipeline. The latter group indicated lack of experienced human capital and/or cost concerns as the biggest obstacles for launching themselves into Big Data.