Data Science Can Assist to Accomplish Economic Goals in Modi 2.0 Governance

After locking a powerful electoral mandate last month for the next five-year term, India's Prime Minister Narendra Modi-led BJP has a unique opportunity to drive the country's economic reforms without populist hues. The government has also a tempting and massive challenge of satisfying objectives, including quantity and quality of jobs, access to better education and healthcare, basic and desired goods at reasonable costs throughout the country that drove the unprecedented mandate for Modi 2.0.

Thankfully, modern and state-of-the-art technology, particularly data science can be portrayed as a vital role in ensuring efficient and flourishing governance. If implement in a non-intruding manner, data science has the potential to convert the citizens' behaviour, bureaucrats and service providers in the anticipated direction and at the desired pace.

India is a vast and diverse country, and many times this vastness and diversity cause slow economic and human progress. Also, this vastness and diversity mean higher variance and lower correlation, which is the aim of a data scientist. A data science calibre performs best when the underlying processes have high discrepancy and low correlation.

Achieving the Economic Goal

India's vastness and diversity can be used by data science techniques to drive economic growth and human wellbeing. Data analytics techniques, combined with real-time data visualisation, automated comparative checklists, automated comparative root cause analysis and using now pervasive and cheap broadband connectivity, among different industries, for instance in healthcare facilities in India will assist the health care providers to scale themselves to the top healthcare organizations operating within India itself.

Several areas are nearly out of the mainstream line, but by digital technology, it's being mapped by the government to generate Big Data. By using data analytics with the purpose of keeping a track of agricultural assets, for example, in the country through online recording and monitoring, the government plans to geo-tag all such infrastructure.

Appropriate utilization of applications of these techniques can empower India to accomplish many industries parameters as compared to the developed world as possible within a few timespans.

Data science can also be implemented in scenario generation for significant government projects. An effective scenario generation, based on the effect of previous projects on the livelihood of the displaced people, informs the lawmakers to further involvements required to lessen the downside of them.

Simultaneously, by leveraging effective data visualization methods, an immersive digital experience can be developed for the displaced people to feel how their lives will be changed by the project. By doing so, data scientists can assist in cutting down the time taken for land acquisition, as well as easing imperative bottlenecks that often emerge in the progress of the country.

India has a ready pool of honed and trained talent that can support the government for ameliorating the lives of common citizens of India. Data science is one of the very imperative techniques available to India. Deploying this technique is comparatively low in terms of cost as the youth of India in today's disruptive age is educating themselves in data science like techniques. Even most companies operating on a global scale are already utilizing these Indian youths' skills for their business successes.