The developments in data storage and analytics, combined with advancement in technology and medical research will completely change the future of healthcare and medicines. With the evolution of modern genomics along with analytics, healthcare sector will undergo a complete metamorphosis. According to a famous doctor, this change is being driven by three factors. Digital revolution- the use of mobile devices and apps through which information about actual human behavior can be obtained. Genetic revolution- which has identified large number of genetic variations which contribute to a large number of human traits and risks of various diseases. And finally Data revolution- which allows to get insights not only into individual patients but also the entire population. To know more read: http://blogs.wsj.com/cio/2015/03/20/the-promise-and-challenge-of-health-analytics/?KEYWORDS=analytics

Sustainable development is the development of the society, keeping in mind the needs of the present as well as future generations. It is this development that is the ultimate goal of every nation. For this, UN will launch a new set of Sustainable Development Goals (SDGs) in 2016. These goals will give rise to various important questions such as:

• How will we achieve these goals?
• Who will finance these goals?
• Which countries will need most resources and of what type etc.

For answer to these questions, the decision makers refer to the data provided by various international institutions like UN, IMF, World Bank, etc. But while doing this, they face a big hurdle i.e. Incompatibility of Data in terms of definitions, methodologies and sources.

Now, with the data revolution going on and big data and analytics taking the centre stage, we now have an opportunity to collect and produce high quality data that will provide the right information on the right things at the right time. The need is – its correct implementation.

To know more, please read the following article by Gail Hurley and Jos Verbeek at brookings.edu:

http://www.brookings.edu/blogs/future-development/posts/2015/05/26-financing-for-development-hurley%E2%80%8F

Huge amounts of data are being created with every passing day.The UN has called for a 'data revolution' to come up with new development goals - so that sustainable development can be better practiced and can be integrated into making decisions and also provide transparency. But finding out trends hidden within data takes skill - and so the question is whether jury is out as to whether nations and development organizations have the capacity to interpret the so-called 'big data' by themselves. The question is how best to make up the ground. The problems faced in implementing Big Data involve lack of expertise to train staff to use big data, and also awareness of the technology needed for analysis. Lack of money is another concern, particularly in developing countries. If governments do wish to see big data used for development, their best bet could be to allow the private sector to do the groundwork. In many developing countries, problems of patchy internet connections, intermittent power supplies and poor reach of high capacity cables are being faced. But the digital divide challenges may be circumvent by other sources of data, for instance, call data records (CDRs).The barriers facing big data becoming a useful tool for development are numerous and great. But, they are not insurmountable. There is reason to believe that big data can fulfil its promise in the years to come. Read more at:

http://www.scidev.net/global/data/feature/obstacles-big-data-development.html