Early Validation of High-Tech Start-ups by Using Big Data

Abstract

Majority of the start-ups fail in the early stage of the development due to lack of validation. This paper focuses on high-tech start-ups and investigates the use of data and/or big data at this stage. The study found that early-stage start-ups fail because they create products or services not needed in the market. Early validation through an agile approach can help these young companies to manoeuver through a turbulent external environment. The results show that big data or data can act as a support at this stage. However, there are various barriers that need to be addressed for successful data adoption. The paper proposes an early validation user guide (EVU) to overcome these barriers and make data adoption easier. The EVU can provide start-ups the tools to use big data or data as a support for early validation based on the market context of the start-ups.