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Among the various global options for self-employment, venturing into the micro-enterprise sector has been recognized as an important way for employment generation and poverty alleviation in many developing/emerging economies. In this context, women-owned businesses at the grassroots play a vital role in developing countries like India far beyond contributing to job creation and economic growth. The informal sector is a sizeable and expanding feature of the contemporary global economy.

However, the informal economy operates at the cusp of the institutional framework, which makes them susceptible to many risks like lack of formal financing options, legal aid or increasing margin through access to formal markets. Non-Profit Development Agencies (NPDAs) have emerged as a viable and essential middle ground support in promoting women entrepreneurship in their capacity to contribute beyond governmental institutions.

The study adopted an inductive qualitative option through a case study design to explore the approaches adopted by NPDAs in promoting micro-entrepreneurship among women at the base of the pyramid (BoP) in the urban informal sector in India. The findings suggest that the NPDAs created an impact through the services, which translated into monetary earnings for the entrepreneurs. They could make financial contributions to their families, which boosted their self-confidence and overall personality. The findings also indicate positive changes like increased self-confidence, self-dependence, and inner strength as reported by the entrepreneurs.

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels, awareness regarding personal health, the occurrence of lifestyle diseases, better insurance policies, low-cost healthcare services, and the emergence of newer technologies like telemedicine are driving this sector to new heights. Abundant quantities of healthcare data are being accumulated each day, which is difficult to analyze using traditional statistical and analytical tools, calling for the application of Big Data Analytics in the healthcare sector. Through provision of evidence-based decision-making and actions across healthcare networks, Big Data Analytics equips the sector with the ability to analyze a wide variety of data. Big Data Analytics includes both predictive and descriptive analytics. At present, about half of the healthcare organizations have adopted an analytical approach to decision-making, while a quarter of these firms are experienced in its application. This implies the lack of understanding prevalent in healthcare sector toward the value and the managerial, economic, and strategic impact of Big Data Analytics. In this context, this chapter on “Predictive Analytics in Healthcare” discusses sources, areas of application, possible future areas, advantages and limitations of the application of predictive Big Data Analytics in healthcare.