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GoI Initiatives

  • Government Initiatives & Interventions:

    NITI Aayog is currently working on a plan in collaboration with the private players to develop the ‘National Data & Analytics Platform’, which will act as a single source of sectoral data for citizens, policymakers, and researchers. ‘Big Data Management Policy’ drafted by CAG for auditing large chunks of data generated by the public sector in the states and the union territories, is a great start. Ministry of Statistics and Programme Implementation has proposed to establish a ‘National Data Warehouse on Official Statistics’ which will leverage technology and use big data analytical tools to improve the quality of macro-economic aggregates. Use of Direct Benefit Transfer in MGNREGA & Aadhaar for authentication & availing welfare scheme benefits helps in the filtering of ghost beneficiaries. The Ministry of Agriculture has signed a deal with the ISRO to use satellites for mapping of agricultural assets. Smart City Mission, Digital India, digital economy proposals like BHIM app, inter alia are important government initiatives that are using Big Data for achieving good governance in the country.

  • Challenges:

    Invasion of Privacy: Big Data Analytics leads to the twin problems of digitization, which are, Data privacy and Net neutrality. Data Security: Several incidents of leakage of Aadhaar data underlined the need for the government to increase the security and safety of virtual data it collects from its citizens. Technical Challenges: As the name suggests, Big data involves several inherent limitations like, Inefficient infrastructure for data collection & management of such humongous data, Storage & computational problems, Scalability & streaming issues. Challenges related to Governance: For effective policymaking using Big Data, the government needs to adopt a consistent dynamic approach. Constant evaluation of the generated feedback and flexibly changing the related policy structures will percolate the benefits to the lowest level.

  • Applications of Big Data:

    Governance: Big data is used in governance for the following purposes: Power Discoms use data collected from last-mile to cut down their Aggregate Technical & Commercial losses. Security agencies and Police forces use big data to, Prevent cyber-attacks Enhance security systems Detect card-related fraud cases Predict criminal activities, e.g – Crime and Criminal Tracking Networks and Systems (CCTNS) In improving the quality of education. Disaster Management: In understanding and mitigating the risks of disasters.

  • Recent Government Initiatives in Data Science Education and Skilling:

    India has one of the most extensive education systems in the world. Though the spending in the education sector in the domestic circuit is not at par with that of developed nations like the USA, UK, Germany, Japan and China, the country is slowly catching up in the race. The Modi government, along with several government educational institutes, has taken significant steps to ensure tech skilling in artificial intelligence and big data. Many universities and organizations are expanding their data science courses and upskill offerings, in recent years. The government’s announcement to create data center parks throughout India, has been acknowledged as a much welcome move under Union Budget 2020. As data science continues to integrate entirely in the core business functions of the organizations, the demand for relevant skills and expertise will rise in the coming years. Under the Big Data Initiative, the Indian government plans to carry out a gap analysis in terms of skills levels and policy framework. It also plans to develop a strategic road map and action plan clearly defining of roles of various stakeholders like government, industry, academia, industry associations and others with clear timelines and outcome for the next ten years, and carry out market landscape surveys to assess the future opportunities and demand for skill levels in same period. For this the Indian government is trying to understand the present status of the industry in terms of market size, different players providing services across sectors/ functions, opportunities, SWOT of industry, policy framework (if any), present skill levels available etc.