Noor Fadhilah Akhmad, Edi Hamdi, Tantry Yanuar Rahmat Syah, Muhammad Dhafi Iskandar

Analisis Strategi Bisnis Menggunakan Aggregator Big Data Operator Telekomunikasi Seluler pada PT. Get Data Solutions

Introduction

Analisis strategi bisnis menggunakan aggregator big data operator telekomunikasi seluler pada pt. Get data solutions. Analisis strategi bisnis PT Get Data Solutions, aggregator big data telekomunikasi seluler. Merumuskan diferensiasi layanan, keamanan data, dan integrasi teknologi untuk daya saing pasar.

Abstract

Penelitian ini bertujuan untuk merumuskan strategi bisnis yang tepat bagi PT Get Data Solutions sebagai perusahaan aggregator big data operator telekomunikasi seluler di Indonesia. Meningkatnya kebutuhan akan analisis data di berbagai sektor industri seperti FMCG, perbankan/fintech, periklanan digital, dan logistik menjadi peluang yang signifikan, namun di sisi lain persaingan yang ketat, perkembangan teknologi yang cepat, dan tuntutan regulasi yang kompleks menjadi tantangan utama. Metode penelitian yang digunakan adalah pendekatan deskriptif kualitatif dengan teknik pengumpulan data melalui wawancara mendalam, observasi, dan studi dokumentasi. Analisis data dilakukan menggunakan IFE Matrik, EFE Matrik dan CPM .Hasil penelitian menunjukkan bahwa PT Get Data Solutions perlu memfokuskan strategi pada diferensiasi layanan yang menonjolkan keamanan data, kepatuhan terhadap regulasi, serta kemudahan integrasi teknologi dengan sistem klien. Selain itu, strategi segmentasi dan positioning yang tepat perlu diterapkan untuk memperkuat citra merek dan meningkatkan kepercayaan pasar. Rekomendasi strategi meliputi penguatan kapabilitas teknologi, optimalisasi nilai tambah bagi pelanggan, serta pengembangan kemitraan strategis lintas industri. Dengan penerapan strategi yang terarah dan adaptif, PT Get Data Solutions berpotensi memperluas pangsa pasar, meningkatkan daya saing, dan mencapai keberlanjutan bisnis di industri big data yang dinamis.

Review

The submitted paper, "Analisis Strategi Bisnis Menggunakan Aggregator Big Data Operator Telekomunikasi Seluler pada PT. Get Data Solutions," addresses a highly relevant and timely topic concerning business strategy formulation for a big data aggregator in the Indonesian telecommunications sector. By focusing on PT Get Data Solutions, the research aims to provide actionable insights into navigating the complex landscape of big data, which is increasingly critical across diverse industries such as FMCG, banking, advertising, and logistics. The abstract effectively highlights both the significant market opportunities driven by the demand for data analysis and the considerable challenges posed by intense competition, rapid technological evolution, and stringent regulatory environments, underscoring the necessity for robust strategic planning. The research employs a qualitative descriptive approach, utilizing a comprehensive data collection methodology that includes in-depth interviews, observation, and documentation study. This multi-faceted approach ensures a rich understanding of the operational context and market dynamics. For analysis, the study leverages established strategic management tools such as the Internal Factor Evaluation (IFE) Matrix, External Factor Evaluation (EFE) Matrix, and Competitive Profile Matrix (CPM), which are suitable for a thorough strategic assessment. The key findings advocate a strategic focus on service differentiation through emphasizing data security, regulatory compliance, and seamless technological integration with client systems. Furthermore, the importance of effective segmentation and positioning is highlighted to enhance brand image and market trust. The recommendations provided are practical and forward-looking, suggesting the strengthening of technological capabilities, optimization of customer value proposition, and the development of strategic cross-industry partnerships. These strategies are well-aligned with the goal of expanding market share, increasing competitiveness, and ensuring business sustainability within the dynamic big data industry. The paper's emphasis on data security and regulatory compliance is particularly pertinent, reflecting critical success factors for any big data aggregator. Overall, this research offers valuable strategic direction for PT Get Data Solutions and contributes to the understanding of strategic challenges and opportunities within the burgeoning big data ecosystem in Indonesia.

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