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Big Data for Better Governance

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January 19, 2018

What is the issue?

  • Collaborative federalism with focus on balanced regional development is a prime objective of the Niti Aayog.
  • Effective use of big data analytics is called for, for making this developmental objective more meaningful.

What is the need?

  • There is a notable information asymmetry at various administrative levels.
  • This is evidently hampering the targeting of various government measures and keeps the outcomes largely undermined.
  • There are entities that have outlived their utility and others that use outdated systems and processes.
  • This has to be eliminated and existing legacy systems need to be analysed with clear data points.
  • The UN, by a resolution on official statistics, expects India to produce quality statistics.
  • The purpose is to shed enough light on the true picture of material and human resources and the needs and demands of the societies.

What should be done?

  • Data - Statistics must be offered as a public good for the government, enterprises and the general public.
  • The big data analytic centres do have micro data, geo-coded, along with tools for extraction of relevant information.
  • There has to be a quantitative analysis on all these.
  • There is also the need for devising a formula for aggregation of data to enforce a code of practice.
  • Area of focus - Health, education and demography are the significant and demanding areas in this regard.
  • Web-based reporting for timely collection, collation and dissemination should be taken up.
  • Segregating the data under different socio-economic heads would facilitate making appropriate response for concerns in each of them.
  • Localisation - Data at the district level would enable understanding the true picture at the ground level.
  • The impact of developmental schemes gets captured at the smallest administrative level.
  • This would be supportive for better implementation of policy initiatves and making course corrections.
  • Organisation - Establishing such a massive data pipeline is indeed highly challenging.
  • It should thus be ensured that data once captured are handled in an organised fashion.
  • These are essential for making the developmental initiatives meaningful.

 

Source: Business Standard

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