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"Seiring perkembangan teknologi data memainkan peran penting dalam pengambilan keputusan. Terkait perkembangan tersebut pemerintah Indonesia menetapkan Peraturan Presiden No.39 Tahun 2019 tentang kebijakan satu data Indonesia, namun Kementerian PPN/Bappenas sebagai koordinator kebijakan tingkat pusat dalam implementasinya masih belum optimal. Berdasarkan permasalahan tersebut penelitian dilakukan untuk menganalisis faktor-faktor pendorong serta memberikan rekomendasi atas permasalahan yang menghambat implementasi kebijakan berdasarkan perspektif enabling framework for data-driven public sector yang dikembangkan oleh Barbara Ubaldi, Charlotte Van Ooijen, dan Benjamin Welby (2019). Peneliti menggunakan paradigma post-positivist dengan teknik pengumpulan data melalui wawancara mendalam, observasi, dan studi kepustakaan. Temuan penelitian menunjukkan bahwa disamping ditemukannya faktor-faktor pendorong terdapat beberapa aspek yang tidak terpenuhi sehingga menyebabkan terhambatnya upaya mendorong data-driven public sector. Berdasarkan temuan peneliti diperlukan rekomendasi strategis seperti bergerak cepat, mendorong keterbukaan, mengurangi ego sektoral, pelibatan pihak ketiga, dan pembentukan satuan tugas yang diharapkan dapat menyelesaikan permasalahan yang menghambat terwujudnya data-driven public sector khususnya di Kementerian PPN/Bappenas

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As technology develops, data plays an important role in decision making. Regarding these developments, the Indonesian government stipulates Presidential Regulation No.39 of 2019 about the Indonesian one data policy, but Kementerian PPN/Bappenas as policy coordinator in its implementation is still not optimal. Based on these problems, the research was conducted to analyze the driving factors and provide recommendations for the implementation of the saty data Indonesia policy at the Kementerian PPN/Bappenas based on the perspective of the enabling framework for data-driven public sector developed by Barbara Ubaldi, Charlotte Van Ooijen, and Benjamin Welby (2019). Researchers use the post-positivist paradigm with data collection techniques conducted through in-depth interviews, observations, and literature studies. The findings of the study indicate that in addition to the discovery of the driving factors, there are several aspects that are not fulfilled, causing delays in efforts to encourage the data-driven public sector. Therefore from these findings strategic recommendations are needed such as move faster, encouragement to openness, reduce sectoral ego issues, involvement of third parties, and the formation of a task force which is expected to be a solution in solving problems that hinder the realization of a data-driven public sector, especially the Kementerian PPN/Bappenas."

"Tinjauan artikel akademis ini menggali ranah dinamis analisis bisnis di era digital dengan mengkaji secara kritis lima Jurnal/Artikel Ilmiah. Dalam menghadapi tantangan dan peluang yang belum pernah terjadi sebelumnya, perusahaan berupaya memanfaatkan data dan analitik untuk pengambilan keputusan yang tepat dan keunggulan kompetitif yang berkelanjutan. Tinjauan ini menilai kekuatan dan kelemahan setiap artikel, mencakup topik mulai dari integrasi analitik dalam manajemen hingga persinggungannya dengan pemasaran, kebijakan publik, dan dampak transformatif dari data besar. Wawasan utama menggarisbawahi pentingnya menyeimbangkan penilaian manusia dengan wawasan berbasis data, menerapkan analisis di seluruh domain organisasi, dan mengatasi tantangan terkait privasi dan regulasi data. Implikasinya terhadap praktik menekankan penerapan kemampuan analitik tingkat lanjut, penilaian ulang pendekatan manajemen data tradisional, dan memprioritaskan kepuasan pelanggan melalui analitik real-time. Tinjauan ini diakhiri dengan menyoroti pentingnya penanganan data yang bertanggung jawab dan kepatuhan terhadap peraturan privasi. Pekerjaan ini menjadi landasan bagi studi kasus yang akan datang, yang bertujuan untuk memberikan wawasan praktis tentang bagaimana perusahaan teknologi multinasional menavigasi tantangan-tantangan ini dan memanfaatkan analisis canggih untuk pertumbuhan berkelanjutan dalam lanskap bisnis yang berpusat pada data. Secara keseluruhan, tinjauan ini menawarkan wawasan berharga bagi para akademisi, profesional, dan pembuat kebijakan dalam menavigasi lanskap analisis bisnis di era digital.

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This academic article review delves into the dynamic realm of business analytics in the digital age by critically examining five scholarly Journals/Articles. In the face of unprecedented challenges and opportunities, companies strive to leverage data and analytics for informed decision-making and sustained competitive advantage. The review assesses the strengths and weaknesses of each article, covering topics ranging from the integration of analytics in management to its intersections with marketing, public policy, and the transformative effects of big data. Key insights underscore the importance of balancing human judgment with data-driven insights, applying analytics across organizational domains, and addressing challenges related to data privacy and regulation. Implications for practice emphasize the adoption of advanced analytics capabilities, reassessment of traditional data management approaches, and prioritization of customer satisfaction through real-time analytics. The review concludes by highlighting the significance of responsible data handling and adherence to privacy regulations. This work sets the stage for a forthcoming case study, aiming to provide practical insights into how a multinational technology corporation navigates these challenges and utilizes advanced analytics for sustainable growth in the data-centric business landscape. Overall, the review offers valuable insights for scholars, professionals, and policymakers navigating the nuanced landscape of business analytics in the digital era."

"This book provides state-of-art information on high-accuracy scientific computing and its future prospects, as applicable to the broad areas of fluid mechanics and combustion, and across all speed regimes. Beginning with the concepts of space-time discretization and dispersion relation in numerical computing, the foundations are laid for the efficient solution of the Navier-Stokes equations, with special reference to prominent approaches such as LES, DES and DNS. The basis of high-accuracy computing is rooted in the concept of stability, dispersion and phase errors, which require the comprehensive analysis of discrete computing by rigorously applying error dynamics. In this context, high-order finite-difference and finite-volume methods are presented. Naturally, the coverage also includes fundamental notions of high-performance computing and advanced concepts on parallel computing, including their implementation in prospective hexascale computers. Moreover, the book seeks to raise the bar beyond the pedagogical use of high-accuracy computing by addressing more complex physical scenarios, including turbulent combustion. Tools like proper orthogonal decomposition (POD), proper generalized decomposition (PGD), singular value decomposition (SVD), recursive POD, and high-order SVD in multi-parameter spaces are presented. Special attention is paid to bivariate and multivariate datasets in connection with various canonical flow and heat transfer cases. The book mainly addresses the needs of researchers and doctoral students in mechanical engineering, aerospace engineering, and all applied disciplines including applied mathematics, offering these readers a unique resource."

"This book analyzes the process-oriented and organizational changes related to the digital transformation of multidisciplinary design firms. Based on this it proposes a systematic analysis-based methodology for change management, which consists of two distinct, but complementary components: a framework and a set of analysis methods. It particularly focuses on the relationship between the new paradigms, perspectives, and context of change related to digital transformation. The proposed framework combines these three elements in order to identify and address areas of investigation concerning process-oriented and organizational changes in the context of digital transformation, and also quantitatively and qualitatively assesses these changes in practice.This book offers the first comprehensive review of change management and digital practice, and includes case studies to enhance readers’ understanding of change management in the context of the digitalization. As such it is of interest to both industry practitioners and researchers."

"This SpringerBrief discusses the applications of spare representation in wireless communications, with a particular focus on the most recent developed compressive sensing (CS) enabled approaches. With the help of sparsity property, sub-Nyquist sampling can be achieved in wideband cognitive radio networks by adopting compressive sensing, which is illustrated in this brief, and it starts with a comprehensive overview of compressive sensing principles. Subsequently, the authors present a complete framework for data-driven compressive spectrum sensing in cognitive radio networks, which guarantees robustness, low-complexity, and security. Particularly, robust compressive spectrum sensing, low-complexity compressive spectrum sensing, and secure compressive sensing based malicious user detection are proposed to address the various issues in wideband cognitive radio networks. Correspondingly, the real-world signals and data collected by experiments carried out during TV white space pilot trial enables data-driven compressive spectrum sensing. The collected data are analysed and used to verify our designs and provide significant insights on the potential of applying compressive sensing to wideband spectrum sensing. This SpringerBrief provides readers a clear picture on how to exploit the compressive sensing to process wireless signals in wideband cognitive radio networks. Students, professors, researchers, scientists, practitioners, and engineers working in the fields of compressive sensing in wireless communications will find this SpringerBrief very useful as a short reference or study guide book. Industry managers, and government research agency employees also working in the fields of compressive sensing in wireless communications will find this SpringerBrief useful as well."

"This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel. The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques."