Scaling Startups Smarter: A Conceptual Framework for Data-Driven Growth

<b>Background and purpose</b>: Adapting Smart Data analytics, a refined approach from Big Data, has great potential for a startup’s internal processes, market understanding and growth support. While the use of Big Data is well described for conventional companies, its description for startups remains fragmented. This knowledge gap highlights the need for a conceptual framework developed for the development stages and strategic needs of startups. The aim of the study is to develop a theoretical framework for the adaptation of Smart Data in startups and to formulate possible implementation strategies taking into account the development stages of the startup. <b>Design/methodology/approach</b>: The u sefulness of Smart D ata in t he context of startups will be assessed using a SWOT analysis based on scientific articles published after 2019 in Q1 and Q2 journals, according to Journal Citation Reports. Based on the SWOT results and using the associated TOWS tool, recommendations will be made for the implementation of this approach in startups. <b>Findings</b>: The key finding is that Smart Data implementation is most impactful during the growth and development phases, when adequate operational maturity and resources are available. Early-stage startups may face significant barriers such as resource constraints, data security risks and technical risks. Addressing these risks and adapting Smart Data provides the startup with improved market insight, streamlined processes and enhanced decisionmaking capabilities. <b>Value and limitations:</b> The study fills an existing gap in startup scaling theory by providing a detailed framework for Smart Data integration. It extends startup and Big Data theory by providing practical guidance for founders, and serves as a foundation for future empirical research. The study shows that a welltimed and strategically phased implementation of Smart Data can significantly increase a startup’s capabilities and potential.