Mobile Business Intelligence framework for Start-ups in India: Case study of Star Unisex Salon

Abstract

Mobile data is factually the spine of modern business communications today. Capitulating the current trend of wireless connectivity. Mobile business intelligence (MBI) is termed as a technology-enabled process of extracting meaningful insights from data and delivering them to end-users via mobile devices. Mobile BI users can conduct data analysis in real time using smartphones, tablets, and wearables to make quick data-driven decisions.

MBI has become a primary strategy for the growth of many small, medium and large corporations in India. However, mushrooming growth of startups in India lags in implementation and exploitation of MBI solutions. The Mobile Business Intelligence Market is expected to register a CAGR of 22.43% over the forecast period 2021 to 2026.

The adoption of mobile BI by large enterprises in the Banking, Financial services and Insurance sector (BFSI sector) can be attributed to numerous factors, such as the growing acceptance of data analytics, an increase in mobile data generation, proliferation of mobile devices and apps, and the improved efficiency of BI tools. To counter competition, startups must be able to monitor and effectively use all their resources, in particular information resources, to assist them in making vital strategic business decisions. Unisex salons have mushroomed in India with specific focus on cities and towns owing to open culture adopted by current generation. According to a recent report, the Indian salon industry was valued at approximately INR 90,000 crore in 2020 and is expected to reach INR 1.75 trillion by 2026, growing at a CAGR of 15% from 2021 to 2026. This paper highlights the challenges faced by Unisex Salon -startup in towns and villages such as lack of strategic planning, technical expertise and limited budget when implementing a Mobil BI solution within its operations in Miraj city. This paper highlights how these challenges can be overcome through applying various BI tools and strategies and their probable paybacks.