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Data-Driven Business Models for the Digital Economy
Competitive success in the old economy was determined by accumulation, aggregation, and concentration of physical resources. Success in today's new digital economy is achieved by disaggregation and scale. The most strategic resource is data and the most important managerial tools are data management and analytics. Digital companies own no physical resources and manage less assets and people; and, yet, they achieve larger market share and higher market capitalizations. Using data to disaggregate every aspect of the business in order to manage based on micro-trends, the digital companies achieve unprecedented concentration of demand for their data products and services.
Data-Driven Business Models for the Digital Economy
Today the fastest growing companies have no physical assets. Instead, they create innovative digital products and new data-driven business models. They capture huge market share fast and their capitalizations skyrocket. The success of these digital giants is pushing all companies to rethink their business models and to start digitizing their products and services. Whether you are a new start-up building a digital product or service, or an employee of an established company that is transitioning to digital, you need to consider how digitization has transformed every aspect of management. Data-driven business models scale not through asset accumulation and product standardization, but through ...
97 Things About Ethics Everyone in Data Science Should Know
Most of the high-profile cases of real or perceived unethical activity in data science arenâ??t matters of bad intent. Rather, they occur because the ethics simply arenâ??t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices. Articles include: Ethics Is Not a Binary Concept...
Proceedings of the Fifteenth International Conference on Management Science and Engineering Management
This book gathers the proceedings of the fifteenth International Conference on Management Science and Engineering Management (ICMSEM 2021) held on August 1-4, 2021, at the University of Castilla-La Mancha (UCLM), Toledo, Spain. The proceedings contains theoretical and practical research of decision support systems, complex systems, empirical studies, sustainable development, project management, and operation optimization, showing advanced management concepts and demonstrates substantial interdisciplinary developments in MSEM methods and practical applications. It allows researchers and practitioners in management science and engineering management (MSEM) to share their latest insights and contribution. Meanwhile, it appeals to readers interested in these areas, especially those looking for new ideas and research directions.
Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials
The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.
Organizational Intelligence
Organizational Intelligence』(DFOCUS 펴냄)는 1978년부터 Information Builders가 걸어온 역사를 되돌아보며 기술이 변화함에 따라 어떠한 변화를 가져야 했고 그러한 경험을 통해 어떤 점들을 배워왔는지에 관해 공유하기 위해 집필되었다. 오랫동안 저자의 사업의 안정적 기반이 되어 주었던 것은 정보를 더 잘 활용하여 구성원들이 조직을 운영할 수 있는 역량을 갖추게 하고자 하는 기업들의 지속적인 필요였다. 여타 다른 회사들이 시시각각 변하는 고객의 니즈를 충족시키기 위해 수많은 제품들을 생산할 때, 이처럼 안정적인 시장을 보유하고 있다는 것은 커다란 이점이었다. 오늘날은 기술이 급속도로 변하고, 새로운 기술이 불러오는 파장력 또한 큰 시대이다. 그만큼 기업들이 어떤 기술을 조직에 도입하여 현 추세 속에서 가치를 파악해낼지 분별하기가 어려워졌다. 『Organizational Intelligence』(DFOCUS 펴냄)에는 이에 대처하였던 사례들이 담겨져 있다.
Business Intelligence
This book examines the managerial dimensions of business intelligence (BI) systems. It develops a set of guidelines for value creation by implementing business intelligence systems and technologies. In particular the book looks at BI as a process – driven by a mix of human and technological capabilities – to serve complex information needs in building insights and providing aid in decision making. After an introduction to the key concepts of BI and neighboring areas of information processing, the book looks at the complexity and multidimensionality of BI. It tackles both data integration and information integration issues. Bodies of knowledge and other widely accepted collections of experience are presented and turned into lessons learned. Following a straightforward introduction to the processes and technologies of BI the book embarks on BI maturity and agility, the components, drivers and inhibitors of BI culture and soft BI factors like attention, sense and trust. Eventually the book attempts to provide a holistic view on business intelligence, possible structures and tradeoffs and embarks to provide an outlook on possible developments in BI and analytics.
The Career Catapult
Take charge of your career and leap confidently into your future: “Intriguing, insightful, useful, and very readable.” —Jon R. Katzenbach, bestselling author of The Wisdom of Teams When change is a constant and the nature of work rapidly evolves, it’s easy to become fearful and discouraged. In The Career Catapult, innovative career consultant Roopa Unnikrishnan shows you how to gaze into an uncertain future and shape it to your advantage—regardless of your current position in the job hierarchy. Leaping into a revised career trajectory requires quick and purposeful movement. Roopa offers five essential disciplines that will catapult you along the fast track: Dig Deep to Soar: Examin...
CIO 3.0 – Leiden met digitale transformatie – 2de herziene druk
We leven in een tijd waarin sprake is van ingrijpende maatschappelijke, economische en technologische veranderingen. We mogen deze veranderingen gerust disruptief (verstorend, ontwrichtend) noemen. Hele sectoren worden getroffen; de gevolgen zijn ingrijpend en vormen een existentiële bedreiging voor veel organisaties en bedrijven. Dat geldt voor alle sectoren: de zorg, overheid, onderwijs, landbouw, energie, banken, enzovoort. Kort gezegd: de samenleving staat onder druk en grote veranderingen komen op ons af. De informatie- en communicatietechnologie (ICT) ontwikkelt zich in een adembenemend tempo: internet, mobiele apparaten, data-analyse, cloud, sensoren en kunstmatige intelligentie (AI)...
