Business Intelligence & Analytics and Its Effect on Startup Performance
Sunu Puguh Hayu Triono (a*), Rama Chandra Jaya (a)

a) Program Studi Manajemen, Sekolah Tinggi Ilmu Ekonomi Indonesia Membangun
Jalan Soekarno-Hatta No. 448, Bandung 40266, Indonesia
b) Program Studi Doktor Ilmu Manajemen, Sekolah Pasca Sarjana, Universitas Pendidikan Indonesia
*sunu.puguh[at]gmail.com

Abstract

Startup is a temporary organization in search of a scalable, repeatable, profitable business model, and startup is not a smaller version of company. Startup as a phenomenon - rather than just a business phase- its emergence is driven by the use of digital technology, one of the main ones is data. Data is the main source for startups to operates, from the ideation to building a company, or in other words, startups makes decisions based on data, re-cently, big data. Hence, business intelligence & analytics is needed even more to improve business decision. This study aims to understand business intelligence and analytics and their relationship with the performance of startups in Indonesia.
This research employs descriptive and verification method. The empirical data were collected through question-naire that administered to founder, executive, or manager of startups. This study uses PLS as analytical tool in data processing.
Moreover, in this study, the model from previous research is tested consist of three exogenous variables namely business intelligence & analytics characteristics, innovativeness, and network learning to predict the startup’s performance. This study discovers that the business intelligence and analytics have direct positive effect on net-work learning, while innovativeness have direct positive effect on startup performance, but the effect of business intelligence and analytics to startup performance is not clear.

Keywords: Business Intelligence; Business Analytics; Startup; Performance

Topic: Strategic Management, and Entrepreneurship