Tools For Activating Data Marketplace
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Tools For Activating Data Marketplace
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Author : Teruaki Hayashi
language : en
Publisher: Springer Nature
Release Date : 2022-11-30
Tools For Activating Data Marketplace written by Teruaki Hayashi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Business & Economics categories.
This book explores the employment of market mechanisms for data-interactive innovations. Based on the concept of innovators' marketplaces the book introduces a new concept of 'data jackets' to enable analysis of what kind of data exist, where they are located, and what kind of information they hold, even if the contents of data cannot be made publicly available.The book presents the concept of a marketplace for data in the case of data-interactive innovations. It introduces the marketplace as a platform for value-based exchange of data and - based on the idea of the innovators' marketplace - explains how data jackets can be utilized independently from the actual contents of the data. Specific chapters deepen the understanding of variables, constraints and intentions as constituent parts of data jackets, and the extension to variable quest, a process towards the design of data. A number of case studies showcases how the methods and processes presented can be employed in real-life contexts. Finally the authors present some extensions of the concept for web-based IMDJ and connections to business information system and an outlook.
Tools For Activating Data Marketplace
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Author : Teruaki Hayashi
language : en
Publisher:
Release Date : 2022
Tools For Activating Data Marketplace written by Teruaki Hayashi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
This book explores the employment of market mechanisms for data-interactive innovations. Based on the concept of innovators' marketplaces the book introduces a new concept of 'data jackets' to enable analysis of what kind of data exist, where they are located, and what kind of information they hold, even if the contents of data cannot be made publicly available. The book presents the concept of a marketplace for data in the case of data-interactive innovations. It introduces the marketplace as a platform for value-based exchange of data and - based on the idea of the innovators' marketplace - explains how data jackets can be utilized independently from the actual contents of the data. Specific chapters deepen the understanding of variables, constraints and intentions as constituent parts of data jackets, and the extension to variable quest, a process towards the design of data. A number of case studies showcases how the methods and processes presented can be employed in real-life contexts. Finally the authors present some extensions of the concept for web-based IMDJ and connections to business information system and an outlook.
Alarm Management For Process Control
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Author : Douglas H. Rothenberg
language : en
Publisher: Momentum Press
Release Date : 2009
Alarm Management For Process Control written by Douglas H. Rothenberg and has been published by Momentum Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Technology & Engineering categories.
No modern industrial enterprise, particularly in such areas as chemical processing, can operate without a secure, and reliable, network of automated monitors and controls. And those operations need alarm systems to alert engineers and managers the moment anything goes wrong or needs attention. This book, by one of the world's leading experts on industrial alarm systems, will provide A to Z coverage of designing, implementing, and maintaining an effective alarm network.
Cryptocurrency Market Forecasting With Catboost Models
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Author : Heng Chen
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-05-19
Cryptocurrency Market Forecasting With Catboost Models written by Heng Chen and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Business & Economics categories.
Cryptocurrency Market Forecasting With Catboost Models explores the intersection of Financial Technology (FinTech) and Big Data Analytics, specifically their impact on cryptocurrency market predictions. It also discusses advanced machine learning techniques, such as the Catboost model, and the evolving landscape of technologies like quantum computing and blockchain. The book outlines the role of digital transformation in finance by introducing FinTech and its evolution. It then covers cryptocurrency market forecasting, addressing its unique challenges and opportunities. Detailed chapters follow the Catboost model, covering its features, practical applications, and advantages. Essential topics include data cleaning, feature engineering, and data preprocessing for robust predictive models. The book also explores big data analytics, distributed computing frameworks, and ethical considerations in AI for market predictions. Real-world case studies illustrate key concepts, concluding with a forward-looking analysis of emerging technologies. Key Features: - Comprehensive coverage of FinTech and its impact on market predictions. - Detailed explanation and practical applications of the Catboost model. - Insights into data preprocessing, feature engineering, and model evaluation. - Exploration of big data analytics and distributed computing in finance. - Discussion of ethical considerations and regulatory challenges in AI for market predictions. - Real-world case studies and examples.
Metaheuristics For Enterprise Data Intelligence
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Author : Kaustubh Vaman Sakhare
language : en
Publisher: CRC Press
Release Date : 2024-08-07
Metaheuristics For Enterprise Data Intelligence written by Kaustubh Vaman Sakhare and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-07 with Computers categories.
With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.
Treasure Chest Of Six Sigma Growth Methods Tools And Best Practices Adobe Reader
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Author : Lynne Hambleton
language : en
Publisher: Pearson Education
Release Date : 2007-07-06
Treasure Chest Of Six Sigma Growth Methods Tools And Best Practices Adobe Reader written by Lynne Hambleton and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-06 with Technology & Engineering categories.
This reference is the first comprehensive how-to collection of Six Sigma tools, methodologies, and best practices. Leading implementer Lynne Hambleton covers the entire Six Sigma toolset, including more than 70 different tools–ranging from rigorous statistical and quantitative tools, to “softer” techniques. The toolset is organized in an easy-to-use, alphabetical encyclopedia and helps professionals quickly select the right tool, at the right time for every business challenge. Hambleton systematically discusses which questions each tool is designed to answer; how the tool compares with similar tools; when to use it; how to use it step-by-step; how to analyze and apply the output; and which other tool to use with it. To further illustrate and clarify tool usage, she presents hundreds of figures, along with never-before-published hints, tips, and real-world, “out-of-the-box” examples. Coverage includes · Real-world guidance to help practitioners raise the most important questions and determine the best resolution · Statistical techniques, including ANOVA, multi-vari charts, Monte Carlo simulations, normal probability plots, and regression analysis · Benchmarks, capability and cost/benefit analyses, Porter’s Five Forces, scorecards, stakeholder analysis, and brainstorming techniques · CPM, CTQ, FMEA, HOQ, and GOSPA · GANTT, PERT chart, and other Six Sigma project management tools · 7QC: cause and effect diagrams, checklists, control charts, fishbone diagram, flowchart, histogram, Pareto chart, process maps, run chart, scatter diagram, and the stratification tool · 7M: AND, affinity diagrams, interrelationship diagrams, matrix diagrams, prioritization matrices, PDPC, and tree diagrams · Crystal Ball, Minitab, and Quality Companion 2 software to facilitate the use of statistical and analytical tools and more to help you become a more effective Six Sigma practitioner · This book is also available in a highly-searchable eBook format at www.prenhallprofessional.com/title/0136007376 and other online booksellers,. From start to finish, this bookdelivers fast, thorough and reliable answers–knowledge you’ll rely on in every Six Sigma project, for years to come.
First Party Data Activation
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Author : Alina D. Magauova
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-29
First Party Data Activation written by Alina D. Magauova and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Computers categories.
Take a new approach to digital marketing based on transparency, relevance, and delivering real value to your audience. First-Party Data Activation shows you how to transform general user data into a deep understanding of who your customers are, what resonates with them, and where to focus your marketing efforts. You'll discover how to effectively collect, analyze, and act on data from direct customer interactions--all with your user's consent. In First-Party Data Activation you will learn how to: Transition away from third-party cookies and point solutions Modernize and unify your marketing technology with data lakehouses and composable CDPs Build sustainable and privacy-compliant data collection strategies Hyper-personalization and collaboration using generative AI and data clean rooms Embed transparency, consent, and data ethics in your marketing process Drive faster marketing operations to achieve higher growth for your company The future of marketing lives in first-party data--and this book is your key to unlocking its full potential. More than a manual, First-Party Data Activation is a strategic guide to navigating the complex data landscape with confidence, ethics, and unprecedented strategic insight. About the Technology Website clicks and interactions, customer purchase history and contact data, email opens and unsubs, and other data you collect directly from your customers is pure gold for modern digital marketing. This first-party data tells you exactly who your customers are and what resonates with them. In this book, you'll learn how to transition from cookies and other third-party tools toward sustainable and privacy-compliant data-driven marketing. About the Book First Party Data Activation introduces techniques to collect and act on first-party data to drive growth--all with your customer's consent. You'll start with the basics of privacy-centric marketing, including the evolving regulations around data collection and usage. Then, you'll explore concrete techniques for gathering, storing, and analyzing first-party data to level up targeting and personalization, including how to use AI agents and applications effectively. Along the way, you'll also develop a first-party data platform that provides a clear view of your customers to your marketing tools and teams. What's Inside Transparency, consent, and data ethics in your marketing Modernize marketing technology with data lakehouses and composable CDPs Hyper-personalize messaging using AI and data clean rooms Achieve higher growth for your company About the Reader For marketing professionals who want to maximize their data's potential. About the Authors Alina D. Magauova is the founder of Segment360, a brand strategist and a product marketing leader. Oscar Kennis is the founder of OPSangels Consultancy and has over two decades of experience in the technology sector. David H. Joosten is the co-founder of GrowthLoop and a former Google marketer. Quotes Visionary and deeply practical. - Carrie Tharp, Google This isn't a trend--it's a shift. If you're not compounding growth with first-party data and agentic AI, you're already behind. A must-read! - Chris O'Neill, GrowthLoop A powerful guide for marketing activation on Snowflake. - Sridhar Ramaswamy, Snowflake A strategic playbook for activating first-party data. - Jim Lecinski, Northwestern University's Kellogg School of Management Timely, strategic, and actionable advice. Read it and use it. - Frank Cespedes, Harvard Business School.
Introduction To Marketing Analytics
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Author : Prof. Dr. R. Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij
language : en
Publisher: Notion Press
Release Date : 2024-10-15
Introduction To Marketing Analytics written by Prof. Dr. R. Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Business & Economics categories.
Introduction to Marketing Analytics delves into the foundational elements of marketing, known as the 4Ps—Product, Price, Place, and Promotion—and expands upon them to include additional key components crucial for services marketing, such as People, Process, and Physical Evidence. These elements are vital for companies to develop coherent marketing strategies that not only attract new customers but also build long-term loyalty among existing ones. The rise of digital technologies has significantly transformed how companies engage with consumers and conduct market research. Big data analytics now allows for personalized marketing efforts, creating campaigns offering organizations the ability to better understand and respond to customer journeys. Moreover, the book highlights the growing role of artificial intelligence (AI) and machine learning in modern marketing strategies. By integrating these advanced technologies, businesses can better meet their customers’ evolving needs, outpacing the competition. It covers various analysis techniques, such as marketing mix modelling, that help organizations understand the impact of different marketing activities on sales and other key performance indicators (KPIs). Through real-life examples and case studies, this book highlights a practical guide for professionals looking to apply data-driven marketing strategies to drive growth, innovation, and sustainable success in a constantly changing market landscape.
Harnessing 5g And Cloud Data Pipelines Enabling Real Time Customer Experiences Across Telecom Media And Healthcare Industries
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Author : Hara Krishna Reddy Koppolu
language : en
Publisher: Global Pen Press UK
Release Date :
Harnessing 5g And Cloud Data Pipelines Enabling Real Time Customer Experiences Across Telecom Media And Healthcare Industries written by Hara Krishna Reddy Koppolu and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Deep Learning Tools For Predicting Stock Market Movements
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Author : Renuka Sharma
language : en
Publisher: John Wiley & Sons
Release Date : 2024-05-14
Deep Learning Tools For Predicting Stock Market Movements written by Renuka Sharma and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Computers categories.
DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis. The book: details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers. Audience The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.