Harnessing the Power of Big Data and Analytics for Better Governance and Improving Citizens’ Lives

Harnessing the Power of Big Data and Analytics for Better Governance and Improving Citizens’ Lives

The Taj Mahal HotelIndia01 January 1970

event date:
01 January 1970
Event location:


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Event Summary


you wish that you have access to data that you can trust, analytics you can rely on and the insights needed to make
game-changing and faster decisions?

Data is growing at an exponential
rate. In fact, by 2020, it is indicated that there are going to be more than 30
billion connected devices and that there will be 440 times more data than there
is today.

Harnessing the power of big data is the next
frontier for governments. Big data analytics uses data science and machine learning for better
understanding. It helps in tracking and prediction of trends to improve
government delivery of existing public services in areas of national defence,
education, healthcare, transportation, taxation, and civic engagement.

With these insights, governments will be more empowered,
informed and confident to make decisions around planning and policy formulation
to promote economic growth, public safety, improve citizen welfare and

As Prime Minister
mentioned, "With over one lakh villages linked with optical
fibre, 121 crore mobile phones, 120 crore Aadhaar and 50 crore internet users, India is best
placed to leverage the power of
and leap-frog into the future while ensuring empowerment of
every citizen." 

With India being one of the most tech-friendly
populations, this only means that with better connectivity and rising internet users
more data will be generated and hence the need to structure it and use it
constructively to make a positive difference in people’s lives.

various ministries and departments taking a lead in deploying Big Data
Analytics, Machine Learning and Artificial Intelligence, India is all set to
revolutionise the use of these cognitive technologies to march ahead and have
better governance models in place.

notable examples of Indian Government using Big Data Analytics, Machine
and Artificial Intelligence
for better state outcomes:

  • Income tax Department is using Big Data to  identify tax evaders by implementing “Project Insight”
  • Bangalore Water Supply and Sewerage Board (BWSSB) uses  data to address the critical issue of equitable drinking water distribution. Kerala is another such state making use of data analytics for better water management and distribution
  • Commerce and Industry ministry constituting a task force on artificial intelligence (AI) to ensure “India’s economic transformation”
  • NITI Aayog, the premier policy think tank of the Government of India, will initiate a national program to direct efforts in the area of artificial intelligence, including research and development of its applications
  • The Aarogyasri Health Care Trust (health insurance schemes
    to Below Poverty Line families), developed by the Telengana Government is using
    Healthcare Analytics to track and monitor health, track disease patterns, and
    launch proper healthcare facilities in needy areas, manage free medicines, etc.

Governments around the world are beginning to
utilise big data to solve a range of pressing policy problems. Notable among
them are Australia, New Zealand, Singapore, South Korea and United Kingdom. The
Australian Ministry of Finance, for instance, has developed a big data
strategy, which provides a holistic
approach to use big data in order to
enhance existing services
, deliver new services and provide better policy advice, while
incorporating best practices for privacy

OpenGov Insight will focus on the application of analytics to derive insights and drive
program efficiency

You are invited to this exclusive Insight proudly brought to you
by OpenGov platform to learn and discuss:

  • How to support digital transformation by modernising your infrastructure and adopting new architectural approaches and platforms for machine learning and analytics optimised for cloud
  • How governments can better tackle data collection and curation,to glean insights through a broad spectrum of tools and enhance services
  • Reducing backlogs and performing end-to-end business processes on a massive scale
  • Producing models that can analyse bigger, more complex data and deliver faster, more accurate results 
  • Identifying hidden opportunities, detecting fraud, and avoiding unknown risks through intelligible analysis of available data
  • Overcoming the hurdle of resource constraints
    using cognitive technologies

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