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Data Visualization Tools for Business Applications

Author : Muniasamy, M. Anandhavalli

Publisher : IGI Global

Page : 482 pages

File Size : 17,26 MB

Release : 2024-09-13

Category : Computers

ISBN :

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Book Description

In today’s data-driven business landscape, the ability to extract insights and communicate complex information effectively is paramount. Data visualization has emerged as a powerful tool for businesses to make informed decisions, uncover patterns, and present findings in a compelling manner. From executives seeking strategic insights to analysts delving into operational data, the demand for intuitive and informative visualizations spans across all levels of an organization. Data Visualization Tools for Business Applications comprehensively equips professionals with the knowledge and skills necessary to leverage data visualization tools effectively. Through a blend of theory and hands-on case studies, this book explores a wide range of data visualization tools, techniques, and methodologies. Covering topics such as business analytics, cyber security, and financial reporting, this book is an essential resource for business executives and leaders, marketing professionals, data scientists, entrepreneurs, academicians, educators, students, decision-makers and stakeholders, and more.



Interactive Data Visualization

Author : Matthew O. Ward

Publisher : CRC Press

Page : 571 pages

File Size : 39,72 MB

Release : 2015-06-11

Category : Computers

ISBN : 1482257386

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Book Description

An Updated Guide to the Visualization of Data for Designers, Users, and ResearchersInteractive Data Visualization: Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. In color throughout, it explains basic terminology



Data Visualization

Author : Kieran Healy

Publisher : Princeton University Press

Page : 292 pages

File Size : 35,9 MB

Release : 2018-12-18

Category : Social Science

ISBN : 0691181624

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Book Description

An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions



The 90-day Sprint to Accelerate Data-Driven Transformation

Author : Jit Papneja

Publisher : Jit Papneja

Page : 153 pages

File Size : 40,3 MB

Release : 2023-12-12

Category : Computers

ISBN :

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Book Description

“The 90 Day Sprint is a game-changer in the world of data strategy. Jit Papneja has distilled complex concepts into a concise, actionable guide that empowers businesses to unlock the true value of their data. This book is an indispensable companion for anyone navigating the challenges of the data landscape, providing invaluable insights that are both practical and transformative. A must primer for all organizations that want to use their data to drive growth.” - Dr. Jyo Jain, Ph.D., Head of Strategic Insights & Analytics, J&J MedTech Asia-Pacific “Jit Papneja has articulated a disciplined and comprehensive approach and framework for data strategy, governance, and management. This book is a great guide for those seeking to plan and execute a successful sprint for an effective data analytics transformation.” - Jatinder "Ronny" Bindra, Leader, Digital Products, Constellation Brands “Most transformation fails, not because of the plan, but because of the ability to execute the plan! The 90 Day Sprint, structured around the D.E.C.I.D.E.R model, is sure to strengthen any organization’s Data Driven transformation journey, through a creative step by step approach, based on real insights and learnings.” - Pete West, Sr. VP Marketing Transformation at Reynolds American Inc. Are you struggling to harness the power of data, AI, and Gen AI in your business? Are you feeling overwhelmed by the sheer volume of data at your disposal? Are you unsure how to implement and scale data-driven transformation? In today’s digital age, data, AI, and Gen AI are increasingly becoming the driving forces behind business growth, innovation, and competitive advantage. Organizations that harness data-driven insights are 23 times more likely to acquire customers, 6 times as likely to retain them, and 19 times more likely to achieve profitability. Organizations that apply personalization can realize $20 return on every $1 invested. However, this data-driven transformation is not a small feat and takes substantial resources, time, and careful planning. Think of this as a marathon with multiple sprints within, and the 90-day (13 weeks) sprint I have included in this book should serve as the essential kickstart for your journey and help you develop a robust plan for the transformation. This book will guide you through a comprehensive D.E.C.I.D.E.R. framework: setting up an agile cross-functional squad, formulating a robust data strategy, exploring, and prioritizing high-value use cases enriched with real-world success stories, launching empowered and governed self-service, and much more. With my practical advice and proven techniques, honed over 25 years of experience, you will unlock the full potential of data, and attain the data-driven success you’ve always aspired to achieve. So, why wait?Are you ready to be data-driven? Let’s get started!



Applications of Big Data in Large- and Small-Scale Systems

Author : Goundar, Sam

Publisher : IGI Global

Page : 377 pages

File Size : 41,63 MB

Release : 2021-01-15

Category : Computers

ISBN : 1799866750

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Book Description

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.



Business Intelligence Guidebook

Author : Rick Sherman

Publisher : Newnes

Page : 551 pages

File Size : 13,40 MB

Release : 2014-11-04

Category : Computers

ISBN : 0124115284

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Book Description

Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. - Provides practical guidelines for building successful BI, DW and data integration solutions. - Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. - Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses - Describes best practices and pragmatic approaches so readers can put them into action. - Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.



Storytelling with Data

Author : Cole Nussbaumer Knaflic

Publisher : John Wiley & Sons

Page : 284 pages

File Size : 12,59 MB

Release : 2015-10-09

Category : Mathematics

ISBN : 1119002265

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Book Description

Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!



AI-Aided IoT Technologies and Applications for Smart Business and Production

Author : Alex Khang

Publisher : CRC Press

Page : 312 pages

File Size : 10,87 MB

Release : 2023-12-01

Category : Computers

ISBN : 1003821510

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Book Description

This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)–aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools. This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.



Effective Data Visualization

Author : Stephanie D. H. Evergreen

Publisher : SAGE Publications

Page : 581 pages

File Size : 49,15 MB

Release : 2019-04-03

Category : Social Science

ISBN : 1544350872

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Book Description

NOW IN FULL COLOR! Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate their data findings. This comprehensive how-to guide functions as a set of blueprints—supported by both research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for building the chosen graph in Excel. Now in full color with new examples throughout, the Second Edition includes a revamped chapter on qualitative data, nine new quantitative graph types, new shortcuts in Excel, and an entirely new chapter on Sharing Your Data With the World, which provides advice on using dashboards. New from Stephanie Evergreen! The Data Visualization Sketchbook provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats. Bundle Effective Data Visualization, 2e, and The Data Visualization Sketchbook, using ISBN 978-1-5443-7178-8!



Next-Generation Business Intelligence Software with Silverlight 3

Author : Bart Czernicki

Publisher : Apress

Page : 435 pages

File Size : 38,15 MB

Release : 2011-02-02

Category : Computers

ISBN : 1430224886

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Book Description

Business intelligence (BI) software is the code and tools that allow you to view different components of a business using a single visual platform, making comprehending mountains of data easier. Applications that include reports, analytics, statistics, and historical and predictive modeling are all examples of BI applications. Currently, we are in the second generation of BI software, called BI 2.0. This generation is focused on writing BI software that is predictive, adaptive, simple, and interactive. As computers and software have evolved, more data can be presented to end users with increasingly visually rich techniques. Rich Internet application (RIA) technologies such as Microsoft Silverlight can be used to transform traditional user interfaces filled with boring data into fully interactive analytical applications to deliver insight from large data sets quickly. Furthermore, RIAs include 3D spatial design capabilities that allow for interesting layouts of aggregated data beyond a simple list or grid. BI 2.0 implemented via RIA technology can truly bring out the power of BI and deliver it to an average user via the Web. Next-Generation Business Intelligence Software with Rich Internet Applications provides developers, designers, and architects a solid foundation of BI design and architecture concepts with Microsoft Silverlight. This book covers key BI design concepts and how they can be applied without requiring an existing BI infrastructure. The author, Bart Czernicki, will show you how to build small BI applications by example that are interactive, highly visual, statistical, predictive, and most importantly, intuitive to the user. BI isn't just for the executive branch of a Fortune 500 company; it is for the masses. Let Next-Generation Business Intelligence Software with Rich Internet Applications show you how to unlock the rich intelligence you already have.



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