Latest Happening: Nov 2019


  • As per the reports by Analytics India Magazine, the overall adoption of Analytics & Data Science at large Indian firms is around 70%. In other words, 70% of all large firms in India have adopted analytics in some form. This is higher than last year’s rate of 64%. That’s a healthy adoption rate given most of these large firms are into traditional businesses like energy & utilities. Telecom, Financial Services, Ecommerce & Private Sector Banks have almost 100% adoption rates. Some level of analytics & data science is being executed in these organizations, especially the large ones. Banking and auto industries are on firmer ground with 100% and 83% analytics adoption rate. In contrast, infrastructure and power lag with low analytics adoption. Some of the traditional sectors that are seeing an increase in analytics adoption are Steel & Oil Drilling & Refineries. In terms of city-wise adoption, Mumbai leads the pack becoming the largest data analytics employer in the country. After Mumbai, Bangalore and Delhi region have a higher analytics concentration.


  • As per the reports by Inc42, In India, the last two years have seen initiatives like Digital India, Aadhaar, 100 smart cities mission, and MyGov etc. being envisaged to enable proactive participation of citizens for good governance. The data originating from these initiatives, combined with the vast volumes emerging from social media and other such sources on a daily basis, are together leading to a boom in the generation of digitized data and subsequent implementation of analytics in the country.


  • The 2017 ‘Project Insight’ also stands as a success story of leveraging data mining techniques and its subsequent analysis to catch tax evaders and procure information on black money. By utilising Big Data, AI, and ML, the government was not only able to flag accounts with sizable black money deposits but also find patterns and trends in these to flag other bank accounts.


  • NITI Aayog is also working on a model that will leverage AI to improve the crop yields of small landholding-farmers across the country, thereby giving the agricultural industry a boost. Through such stellar data-driven initiatives for governance, the government is striving to modernize administration across all states to enhance transparency while simultaneously enabling efficient delivery of essential services to the citizens of

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