Data Science Integration For Corporate Inventory Forecasting And Profitability Expansion
Integrasi Data Science Untuk Prakiraan Inventaris Perusahaan Dan Perluasan Profitabilitas
DOI:
https://doi.org/10.21070/pels.v10i1.1848Keywords:
Data Science, Company Performance, Decision Making, Data Analytics, InnovationAbstract
Data science has become one of the main focuses in the development of corporate strategies in today's digital era. Through the utilization of big data and advanced analytical techniques, companies can make better decisions and improve operational efficiency. However, although companies already have access to large volumes of data, many still face challenges in optimizing its use to improve business performance. This study aims to analyze and measure the impact of data science implementation in improving company performance, by identifying how companies implement data science technology, evaluating the effect of data science implementation on key performance aspects of the company, strategic decision making, and optimization of resource use. The methods used are data collection techniques and data analysis techniques. The results of this study indicate a significant improvement in the company's performance after implementing data science in various operational and strategic aspects. Overall, the results show that the implementation of data science makes a significant contribution to improving company performance in various aspects, including operational efficiency, strategic decision-making, and customer satisfaction.
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References
Amanda Aurora, B. (2024, May 7). Peran Data Science Terhadap Perkembangan Digital. https://ftmm.unair.ac.id/peran-data-science-terhadap-perkembangan-digital/.
Andry. (2023, July 7). Data Science dan Analitika: Transformasi Bisnis di Era Digital. https://andry.blog.uma.ac.id/2023/07/07/data-science-dan-analitika-transformasi-bisnis-di-era-digital/.
Harto, B., Rukmana, A., Subekti, R., Tahir, R., Waty, E., Situru, A., & M.Kom, S. (2023). Transformasi Bisnis di Era Digital (Teknologi Informasi dalam Mendukung Transformasi Bisnis di Era Digital).
Hizbandyah, B. N., Silvia, L., Nurahma, S., & Prawira, I. F. A. (2023). Inovasi Amazon dalam menerapkan teknologi sebagai strategi bisnis terhadap keunggulan bersaing. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 10(4).
Marcellova, K. (2023, May 23). AI Generatif IndexGPT, Inovasi Terbaru JP Morgan yang Guncang Dunia Keuangan. https://pintu.co.id/news/31223-jp-morgan-index-gpt.
PHINTRACO GROUP, A. M. (2021, March 30). Tantangan Pengelolaan Big Data dan Solusi untuk Mengatasinya. https://phintraco.com/tantangan-pengelolaan-big-data/.
PrimaDoc. (2022, December 21). Siapkah Karyawan Anda Menghadapi Transformasi Ekonomi Digital? https://primadoc.id/siapkah-karyawan-anda-menghadapi-transformasi-ekonomi-digital/.
PT AXIOS MEGA KREATIF, A. (2024, September 5). Meningkatkan Transparansi dan Akurasi Data Desa Melalui Integrasi Data. https://axios.id/meningkatkan-transparansi-dan-akurasi-data-desa-melalui-integrasi-data/.
Rasyid Ridho, Moh. (2023, November 23). Cara Memilihan Teknik Analisis Data yang Tepat dan Benar. https://dac.telkomuniversity.ac.id/cara-memilihan-teknik-analisis-data-yang-tepat-dan-benar/.
Sugiana, N. S. S., & Musty, B. (2023). Analisis data sistem informasi monitoring marketing; tools pengambilan keputusan strategic. JUTISI: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, 12(2), 696–708.
Sugiyono, D. (2010). Memahami Penelitian Kualitatif.
Universitas Medan Area, A. (2023, July 31). Jenis-jenis Pengumpulan Data. https://agribisnis.uma.ac.id/2023/07/31/jenis-jenis-pengumpulan-data/.
Li, L., Lin, J., Ouyang, Y., & Luo, X. R. (2022). Evaluating the impact of big data analytics usage on the decision-making quality of organizations. Technological Forecasting and Social Change, 175, Article 121355. https://doi.org/10.1016/j.techfore.2021.121355.
Chen, L., Liu, H., Zhou, Z., & Chen, M. (2022). IT-business alignment, big data analytics capability, and strategic decision-making: Moderating roles of event criticality and disruption of COVID-19. Decision Support Systems, 161, Article 113745. https://doi.org/10.1016/j.dss.2022.113745.
Chatterjee, S., Chaudhuri, R., Gupta, S., Sivarajah, U., & Bag, S. (2023). Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm. Technological Forecasting and Social Change, 196, Article 122824. https://doi.org/10.1016/j.techfore.2023.122824.
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