Minimal Viable Data Strategy for Early-Stage Startups: Leveraging AI and Big Data Without a Formal Corporate Structure
Athanasios Davalas and Christos P Beretas*
ABSTRACT
Startups today face a lot of change, especially with artificial intelligence (AI) and big data at play. These new tools can help, but they can also be tricky without a solid company structure. This paper introduces a simple plan called the Minimal Viable Data Strategy (MVDS). It’s designed for new businesses that want to use data to make smart choices while staying flexible. We suggest a clear way to collect, analyze, and use important data. This includes looking at how users behave, spotting market trends, and keeping an eye on competitors. By using affordable AI tools, startups can handle data without needing big, expensive systems. Through examples and real-world studies, we show how MVDS works in different startups. It helps companies find the right product for their market and use their resources better. Our research shows that a smart, straightforward approach to data helps startups grow faster and tackle the unknowns of starting out. This study adds to the conversation about using data in business. It provides a helpful model that fits the changing needs of new companies.
