Can Big Data Analytics lead to eColonisation of India, China’s inroads into Myanmar Current Affairs 15th June, 2017

Can Big Data Analytics lead to eColonisation of India, China’s inroads into Myanmar Current Affairs 15th June, 2017

Can Big Data Analytics lead to eColonisation of India:

What is Big Data?
Big Data, as the term implies, refers to the storage of unusually large magnitude of data in electronic form (order of terabytes and higher). Big Data in itself hold no significance. It is the big Data analysis enabled by increased computational capability & tools which gives us useful insights.

How does Big Data work?
Big Data works on the principle that the more you know about anything or any situation, the more reliably you can gain new insights and make predictions about what will happen in the future. By comparing more data points, relationships will begin to emerge that were previously hidden, and these relationships will enable us to learn and inform our decisions.
What is unique about Big Data Technology (BDT) is the scale at which this data collection can take place. For instance, Google has stored petabytes of information about billions of people and their online browsing habits. Similarly, Facebook and Amazon have collected information about social networks.

Significance of big data analytics : Throws surprising trends which would be otherwise hard to detect. For example, This year Economic survey utilized Big Data analysis to give several surprising facts e.g. inter-state people movement is rather high.

Possible application:

  • Health– Big Data is being used to find solutions of Multi Drug Resistant bacteria, HIV/AIDS, Cancer etc. Data-driven medicine involves analyzing vast numbers of medical records and images for patterns which can help spot disease early and develop new medicines.
  • Education– Andhra Pradesh govt has cooperated with tech giant Microsoft to analyze school drop out rate and suggest solutions.
  • Climate change- A number of variable affecting climate change makes big Data only option for successful analysis and suggesting remedial steps.
  • Agriculture– It can be employed to analyze soil health, predict water availability, impact of pesticides etc. Agriculture is being revolutionized by data which can be used to maximize crop yields, minimize the amount of pollutants released into the ecosystem and optimize the use of machines and equipment
  • Predict and respond to natural and man-made disasters– Sensor data can be analyzed to predict where earthquakes are likely to strike next, and patterns of human behavior give clues which help aid organizations give relief to survivors. Big Data technology is also used to monitor and safeguard the flow of refugees away from war zones around the world
  • Crime tracking & prevention– It can be used to reduce crime by exposing Nexus and crime trends invisible by naked eyes. Police forces are increasingly adopting data-driven strategies based on their own intelligence and public data sets in order to deploy resources more efficiently and act as a deterrent where one is needed.
  • Make our everyday lives easier and more convenient– Shopping online, crowdsourcing a ride or a place to stay on holiday, choosing the best time to book flights and deciding what movie to watch next are all easier thanks to Big Data.
  • Improved governance– Big data and advanced analytics platform can play a critical role in integrating and exploiting the multiple data sources to help tax departments in efficient discharge of their responsibilities and bridging the tax gap. This will not only help them build integrated views of tax filers and individual tax submissions but also empower them to respond in a more targeted way , thereby using resources optimally.
  • It is an indispensable tool for effective policy making , efficient public service delivery and better resource optimization. Big Data can enhance the government’s ability to serve its citizens and address major national challenges involving the economy, healthcare, job creation, natural disasters, and terrorism.

Dangers of big data analytics:

  • Data privacy – The Big Data we now generate contains a lot of information about our personal lives, much of which we have a right to keep private. Increasingly we are asked to strike a balance between the amount of personal data we divulge, and the convenience that Big Data powered apps and services offer.
  • Data security– One major problem with collecting and storing such vast amounts of data overseas is the ability of owners of such data stores to violate the privacy of people. Foreign governments or rogue multinationals could clandestinely access these vast pools of personal data in order to affect policies of a nation. Such knowledge could prove toxic and detrimental in the hands of unscrupulous elements or hostile foreign governments. The alleged Russian interference in the U.S. election tells us that these possibilities are not simply science fiction fantasies.
  • Data discrimination – When everything is known, will it become acceptable to discriminate against people based on data we have on their lives? We already use credit scoring to decide who can borrow money, and insurance is heavily data-driven. We can expect to be analyzed and assessed in greater detail.
  • Potential drain of economic wealth of a nation– Currently, the corporations collecting such vast amounts of data are all based in developed countries, mostly in the U.S. Most emerging economies, including India, have neither the knowledge nor the favourable environment for businesses that collect data on such a vast scale. The advertising revenue that is currently earned by local newspapers or other media companies would eventually start to flow outside the country to overseas multinationals.

What India can do?

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