Modern Business Data Processing
Author | : Daniel D. Benice |
Publisher | : Prentice Hall |
Total Pages | : 632 |
Release | : 1973 |
Genre | : Computers |
ISBN | : |
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Author | : Daniel D. Benice |
Publisher | : Prentice Hall |
Total Pages | : 632 |
Release | : 1973 |
Genre | : Computers |
ISBN | : |
Author | : Mike Fleckenstein |
Publisher | : Springer |
Total Pages | : 269 |
Release | : 2018-02-12 |
Genre | : Computers |
ISBN | : 3319689932 |
This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.
Author | : Robert R. Arnold |
Publisher | : John Wiley & Sons |
Total Pages | : 504 |
Release | : 1972 |
Genre | : Computers |
ISBN | : |
Fundamentals of data processing; History of data processing; Data processing applications; Systems study and design: tools and techniques; Systems study and design: principles; Manual and mechanical data processing; Punched card unit records and recording devices; Punched card machine functions; Data collection and organization.
Author | : Beryl Robichaud |
Publisher | : |
Total Pages | : 307 |
Release | : 1966 |
Genre | : Business |
ISBN | : 9780962323904 |
Author | : Dominik Jung |
Publisher | : Springer Nature |
Total Pages | : 312 |
Release | : 2024 |
Genre | : Business |
ISBN | : 3031599071 |
This book illustrates and explains the key concepts of business data analytics from scratch, tackling the day-to-day challenges of a business data analyst. It provides you with all the professional tools you need to predict online shop sales, to conduct A/B tests on marketing campaigns, to generate automated reports with PowerPoint, to extract datasets from Wikipedia, and to create interactive analytics Web apps. Alongside these practical projects, this book provides hands-on coding exercises, case studies, the essential programming tools and the CRISP-DM framework which you'll need to kickstart your career in business data analytics. The different chapters prioritize practical understanding over mathematical theory, using realistic business data and challenges of the Junglivet Whisky Company to intuitively grasp key concepts and ideas. Designed for beginners and intermediates, this book guides you from business data analytics fundamentals to advanced techniques, covering a large number of different techniques and best-practices which you can immediately exploit in your daily work. The book does not assume that you have an academic degree or any experience with business data analytics or data science. All you need is an open mind, willingness to puzzle and think mathematically, and the willingness to write some R code. This book is your all-in-one resource to become proficient in business data analytics with R, equipped with practical skills for the real world.
Author | : Bernard A. Hodson |
Publisher | : Toronto: Macmillan of Canada |
Total Pages | : 336 |
Release | : 1973 |
Genre | : Business |
ISBN | : 9780770508654 |
Author | : Robert M.X. Wu |
Publisher | : BoD – Books on Demand |
Total Pages | : 172 |
Release | : 2021-05-19 |
Genre | : Business & Economics |
ISBN | : 1789846846 |
This book provides the latest viewpoints of scientific research in the field of e-business. It is organized into three sections: “Higher Education and Digital Economy Development”, “Artificial Intelligence in E-Business”, and “Business Intelligence Applications”. Chapters focus on China’s higher education in e-commerce, digital economy development, natural language processing applications in business, Information Technology Governance, Risk and Compliance (IT GRC), business intelligence, and more.
Author | : Stuart S. Fink |
Publisher | : by Mocktime Publication |
Total Pages | : 67 |
Release | : 1974 |
Genre | : COBOL (Computer program language) |
ISBN | : |
Author | : Beryl Robichaud |
Publisher | : |
Total Pages | : 138 |
Release | : 1967 |
Genre | : Business |
ISBN | : |
Author | : Nick Jewell, PhD |
Publisher | : TinyTechMedia LLC |
Total Pages | : 129 |
Release | : 2023-09-28 |
Genre | : Computers |
ISBN | : |
In the age of digital transformation, becoming overwhelmed by the sheer volume of potential data management, analytics, and AI solutions is common. Then it's all too easy to become distracted by glossy vendor marketing, and then chase the latest shiny tool, rather than focusing on building resilient, valuable platforms that will outperform the competition. This book aims to fix a glaring gap for data professionals: a comprehensive guide to the full Modern Data Stack that's rooted in real-world capabilities, not vendor hype. It is full of hard-earned advice on how to get maximum value from your investments through tangible insights, actionable strategies, and proven best practices. It comprehensively explains how the Modern Data Stack is truly utilized by today's data-driven companies. Mastering the Modern Data Stack: An Executive Guide to Unified Business Analytics is crafted for a diverse audience. It's for business and technology leaders who understand the importance and potential value of data, analytics, and AI—but don’t quite see how it all fits together in the big picture. It's for enterprise architects and technology professionals looking for a primer on the data analytics domain, including definitions of essential components and their usage patterns. It's also for individuals early in their data analytics careers who wish to have a practical and jargon-free understanding of how all the gears and pulleys move behind the scenes in a Modern Data Stack to turn data into actual business value. Whether you're starting your data journey with modest resources, or implementing digital transformation in the cloud, you'll find that this isn't just another textbook on data tools or a mere overview of outdated systems. It's a powerful guide to efficient, modern data management and analytics, with a firm focus on emerging technologies such as data science, machine learning, and AI. If you want to gain a competitive advantage in today’s fast-paced digital world, this TinyTechGuide™ is for you. Remember, it’s not the tech that’s tiny, just the book!™