Editorial ICDSBA 2019

Abstract

In today’s fast changing scenario, due to the wide adoption of digitalization, new challenges and opportunities are being identified in almost all sectors. Again to take advantage of these opportunities and sustain the challenges advanced techniques like data science and business analytics are being widely adopted. Data science and business analytics evolve from the intersection of many core fields such as mathematics, statistics, operation research, cognitive computing and computer science etc. While data science focuses on representation of data acquired from heterogeneous sources and extracting significant insights by analyzing the collected data; business analytics involves tools and techniques that simplify these processes for generating insights that supports in making decisions for solving complex business problems such as sales strategy for quality control, optimization of throughput and cost effectiveness. The heterogeneity of input data such as text, image, audio and video etc., is due to the variability in different sources including sales reports, medical records, purchase data, exchange rate data, consumer price indices, product and process status data, stock market data and so on.