Predictive Modeling to Determine Key Variables Supporting the Success of B2B Transformation Using CatBoost

Edie Kurniawan; Aghus Sofwan; Kardison Lumban Batu

doi:10.24167/sisforma.v12i2.14360

Predictive Modeling to Determine Key Variables Supporting the Success of B2B Transformation Using CatBoost

Edie Kurniawan, Aghus Sofwan, Kardison Lumban Batu

Abstract

PT Telkom Indonesia’s strategic shift from B2C to B2B aims to capture opportunities in a market valued at IDR 155.8 trillion, where it currently holds a 32% share and 14% revenue contribution, lagging global peers like Telstra and Vodafone. To address this gap, PT Telkom Indonesia seeks to expand B2B digital services, including IT and ecosystem-based solutions. This study aims to identify key variables supporting successful B2B transformation using predictive modelling with CatBoost-based Gradient Boosting. It examines factors such as workforce readiness, product readiness, operational models, organizational mindset and culture, and IT system support, integrating the Organizational Health Index (OHI) to assess organizational readiness and the DeLone & McLean model to evaluate information system effectiveness. The integrated approach aims to develop a predictive model for B2B transformation success in telecommunications. Findings are expected to guide PT Telkom Indonesia and similar firms in designing data-driven strategies to optimize transformation outcomes and enhance competitiveness.

Keywords

B2B Transformation; CatBoost Gradient Boosting; Organizational Readiness; Predictive Modeling; Telecommunication Strategy

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DOI: https://doi.org/10.24167/sisforma.v12i2.14360