Litgu.ru - Литературный Гуру

Название: Getting Started with Salesforce CRM Analytics: A Beginner's Guide to Building Interactive and Complex Dashboards, 2nd Edition
Автор: Johan Yu
Издательство: Apress
Год: 2024
Страниц: 214
Язык: английский
Формат: pdf (true), epub (true)
Размер: 17.0 MB

Dive into the intricate world of salesforce CRM Analytics and harness the power of interactive and complex dashboards. This book will empower you to unlock the full potential of Salesforce CRM Analytics and enhance your ability to generate meaningful insights for strategic decision-making. Developed by Salesforce to transcend the limitations of standard reports and dashboards, CRM Analytics introduces a new platform that requires a fresh perspective for those familiar with the traditional Salesforce platform. Using a hands-on approach, this step-by-step book unravels the complexities of CRM Analytics, guiding you through the process of acquiring data from the Salesforce platform, importing external data like CSV files, and preparing the data for dashboard creation. You’ll also learn to build dashboards from scratch, explore lenses, and delve into the depths of SAQL (Salesforce Analytics Query Language) and binding. CRM Analytics has a steeper learning curve than standard Salesforce reporting. Getting Started with Salesforce CRM Analytics will guide you through the journey of constructing dashboards, from data preparation to the final dashboard creation. IT users getting started with CRM Analytics, Salesforce consultants starting new CRM Analytics projects, and power users familiar with Salesforce reporting and dashboards who want to get up to speed on advanced analytics features.

Название: Intelligent Techniques for Predictive Data Analytics
Автор: Neha Singh, Shilpi Birla, Mohd Dilshad Ansari, Neeraj Kumar Shukla
Издательство: Wiley-IEEE Press
Год: 2024
Страниц: 272
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries. Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and Machine Learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Data mining is the process of discovering meaningful patterns, correlations, and relationships in large datasets using computational algorithms. It involves various steps, including data preprocessing, pattern discovery, and result interpretation, extracting knowledge, and making informed decisions from large and complex datasets. It combines techniques from various domains such as statistics, Machine Learning, Artificial Intelligence, and database systems to explore and analyze structured and unstructured data to gain insights and generate actionable information.

Название: The Golden Age of Data Visualization: How Did We Get Here?
Автор: Kimbal Marriott
Издательство: CRC Press
Год: 2025
Страниц: 375
Язык: английский
Формат: pdf (true)
Размер: 36.1 MB

We are living in the Golden Age of Data Visualization. The COVID-19 pandemic has demonstrated how we increasingly use data visualizations to make sense of the world. Business analysts fill their presentations with charts, journalists use infographics to engage their readers, we rely on the dials and gauges on our household appliances, and we use mapping apps on our smartphones to find our way. This book explains how and why this has happened. It details the evolution of information graphics, the kinds of graphics at the core of data visualization―maps, diagrams, charts, scientific and medical images―from prehistory to the present day. It explains how the cultural context, production and presentation technologies, and data availability have shaped the history of data visualization. It considers the perceptual and cognitive reasons why data visualization is so effective and explores the little-known world of tactile graphics―raised-line drawings used by people who are blind. The book also investigates the way visualization has shaped our modern world. The European Renaissance and the Scientific Revolution relied on maps and technical and scientific drawings, and graphics influence how we think about abstract concepts like time and social connection. Tableau was one of the first commercially available visual analytics tools. Released in May 2003, Tableau allowed business and government analysts to create an almost endless variety of visualizations by dragging and dropping data fields onto the tool’s main panel. They could effortlessly create standard visualizations like choropleth maps and bar charts or craft their own custom chart. The resulting visualizations were interactive. This book is written for data visualization researchers and professionals and anyone interested in data visualization and the way we use graphics to understand and think about the world.

Название: Privacy in the Age of Innovation: AI Solutions for Information Security
Автор: Ranadeep Reddy Palle, Krishna Chaitanya Rao Kathala
Издательство: Apress
Год: 2024
Страниц: 205
Язык: английский
Формат: pdf (true), epub, azw3, mobi
Размер: 10.1 MB

This book will help you comprehend the impact of Artificial Intelligence (AI) on information security, data privacy, and data security. The book starts by explaining the basics and setting the goals for a complete understanding of how AI, Information Security, Data Privacy, and Data Security all connect. Then, it gives you important information about the basics of AI, Machine Learning, and Deep Learning in simple terms. It also talks about the ethics of using AI in privacy and security, making sure you understand the power and responsibility that come with AI. Next, it takes you through the complex world of information security and data privacy. It covers everything from the current state of security to how AI can detect threats and protect privacy. Additionally, it delves into ethical considerations to ensure the responsible use of AI in managing data privacy. Later chapters discuss strategies and future trends in using AI for data security, finding the right balance between security and privacy, and giving useful advice for organizations. In the end, this book examines the current landscape and foresees the future, underscoring the vital importance of maintaining a balance between innovation and privacy in AI-powered security. Information security professionals, data scientists, and software developers seeking to gain an understanding of the latest trends and techniques in AI for information security.

Название: Windows 11 Tips, Tricks, and Useful Hacks: Essential How-Tos for Beginners and Beyond
Автор: Ryan Foster
Издательство: Independently published
Год: 2024
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Welcome to the Windows 11 Tips & Tricks Guide! This guide is designed to help you maximize your experience with Windows 11, the latest operating system from Microsoft. Whether you're a novice user just getting started or a seasoned pro looking to fine-tune your workflow, this book is packed with practical advice, step-by-step instructions, and insider tips to help you get the most out of your system. Windows 11 brings a fresh, modern look to your PC along with a host of new features and enhancements aimed at improving productivity, connectivity, and user experience. From the redesigned Start Menu to advanced window management and seamless integration with Microsoft Teams, there's a lot to explore. This guide will walk you through everything you need to know to make the most of these new capabilities. Unlock the full potential of Windows 11 with this comprehensive guide! Whether you're a beginner or a seasoned user, "Windows 11 Tips, Tricks, and Useful Hacks" offers invaluable insights to help you navigate and optimize Microsoft's latest operating system.

Название: Визуализация данных в Power BI
Автор: Яковлев В.Б.
Издательство: М.: Эдитус
Год: 2022
Формат: PDF
Страниц: 96
Размер: 10 mb
Язык: русский

В учебном пособии рассмотрены основные методы визуализации данных в приложении Microsoft Power BI Desktop: получение данных и создание визуальных элементов (простых визуализаций, комбинированных диаграмм, визуализаций карт, точечных диаграмм, каскадных и воронкообразных диаграмм, диаграмм дерева, таблиц и матриц). Приведены примеры, позволяющие получить навыки практического применения их в бизнес-аналитике.

Название: Анализ и визуализация данных в Yandex DataLens
Автор: Яковлев В.Б.
Издательство: М.: Эдитус
Год: 2023
Формат: pdf
Страниц: 136
Размер: 16 mb
Язык: Русский

В учебном пособии рассмотрены основные методы анализа и визуализации данных в Yandex DataLens: подключение к данным из разных источников; подготовка и преобразование исходных данных для анализа и визуализации; знакомство со всеми типами диаграмм; создание полноценных многостраничных интерактивных дашбордов. Приведены примеры, позволяющие получить навыки практического применения их в бизнес-аналитике.

Название: Matrix Structural Analysis and the Finite Element Methods Using Scilab and Octave: A Problem-Solving Approach
Автор: Bedilu Habte
Издательство: CRC Press
Год: 2025
Страниц: 507
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book covers code development for structural analysis and includes topics from finite element methods such as modeling and analysis of continuum structures. It explains the concepts showing derivation of necessary equations, relationships, and steps in solving structural analysis problems. It contains worked examples, problem sets, and ample Scilab and Octave codes to teach structural analysis techniques using these softwares. Access to computing facilities has been increasing from time to time, and a typical college student nowadays owns a laptop or has access to a personal computer at home or the college. Besides, there are appropriate software that assist in performing routine and complex matrix operations like matrix multiplication and inversion. The second reason for writing this book is to overcome those difficulties associated with formulating and solving structural analysis problems through programming or coding on a suitable platform step by step and interactively. The book aims to provide concise reading materials explaining the concepts and showing the derivation of necessary equations, relationships and steps in solving structural analysis problems. It also contains worked examples, problem sets and ample Scilab and Octave code to teach structural analysis techniques using MSA/FEM. Scilab and Octave are free and open-source software for scientific computation and visualization. In addition to being free and open-source, they offer excellent platforms for practicing computer-aided structural analysis tasks. Since the syntax for Octave is identical to Matlab, the Octave program codes in this book can be executed in Matlab directly without any modification.

Название: Data-Driven Decision-Making for Business
Автор: Claus Grand Bang
Издательство: Routledge
Год: 2025
Страниц: 327
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Your comprehensive guide to mastering The Data Component of your EOS Model—taking you from uncertain to unstoppable. Have you ever felt lost in knowing how your business is actually doing? Were you surprised by events that you didn't see coming? Did you spend sleepless nights wondering whether or not your company was going to make it? Then Data is for you. This data-driven handbook is the third installment of the Traction Library's EOS Mastery Series that provides all the tools you need to build an environment of transparency and get better results through clarity and accountability. As one of the six components of the EOS Model, The Data Component helps you refine, simplify, and achieve your vision of understanding the numbers behind how your business is operating. The Data Component is designed to help you objectively see where you are going—both as a leader and as a company. It takes assumptions, subjective opinions, emotions, and ego out of the equation. You'll gain confidence in knowing that you are running the business and it's not running you. Data will give you more control and assurance in getting more of what you really want out of your team, your EOS model, and your business.

Название: Mastering Power BI: Build business intelligence applications powered with DAX calculations, insightful visualizations, advanced BI techniques, and loads of data sources, 2nd Edition
Автор: Chandraish Sinha
Издательство: BPB Publications
Год: 2024
Страниц: 280
Язык: английский
Формат: epub (true)
Размер: 69.4 MB

Take a deep dive into the dynamic world of Power BI! Mastering Power BI covers the entire Power BI implementation process. The readers will be able to understand all the concepts covered in this book, from data modeling to creating powerful visualizations. This book begins with concepts and terminology such as the star-schema, dimensions, and facts. It explains multi-table dataset and demonstrates how to load these tables into Power BI. It shows how to load stored data in various formats and create relationships. Readers will also learn more about Data Analysis Expressions (DAX). This book is a must for developers to learn how to extend the usability of Power BI, to explore meaningful and hidden data insights. Throughout the book, you keep on learning about the concepts, techniques, and expert practices on loading and shaping data, visualization design, and security implementation. The second edition of Mastering Power BI book adheres to the first edition in terms of providing the basics of business intelligence and Power BI; however, it introduces new concepts and features in terms of data transformation, data profiling, custom hierarchies, AI visuals, and many more. AI refers to the simulation of human intelligence in machines programmed to think and perform tasks like problem-solving, learning, perception, and decision-making. It encompasses various technologies and techniques, including Machine Learning (ML), Natural Language Processing (NLP), and computer vision, enabling systems to analyze data, recognize patterns, and make informed decisions without explicit programming. This book is for anyone interested in learning how to use Power BI desktop or starting a career in business intelligence and analytics. While it covers all the fundamentals, it is recommended that the reader be familiar with MS Excel and database concepts.