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Self Service Analytics With Power Bi


Self Service Analytics With Power Bi
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Pro Power Bi Desktop


Pro Power Bi Desktop
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Author : Adam Aspin
language : en
Publisher: Apress
Release Date : 2020-06-11

Pro Power Bi Desktop written by Adam Aspin and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-11 with Computers categories.


Deliver eye-catching and insightful business intelligence with Microsoft Power BI Desktop. This new edition has been updated to cover all the latest features of Microsoft’s continually evolving visualization product. New in this edition is help with storytelling—adapted to PCs, tablets, and smartphones—and the building of a data narrative. You will find coverage of templates and JSON style sheets, data model annotations, and the use of composite data sources. Also provided is an introduction to incorporating Python visuals and the much awaited Decomposition Tree visual. Pro Power BI Desktop shows you how to use source data to produce stunning dashboards and compelling reports that you mold into a data narrative to seize your audience’s attention. Slice and dice the data with remarkable ease and then add metrics and KPIs to project the insights that create your competitive advantage. Convert raw data into clear, accurate, and interactive information with Microsoft’s free self-service BI tool. This book shows you how to choose from a wide range of built-in and third-party visualization types so that your message is always enhanced. You will be able to deliver those results on PCs, tablets, and smartphones, as well as share results via the cloud. The book helps you save time by preparing the underlying data correctly without needing an IT department to prepare it for you. What You Will Learn Deliver attention-grabbing information, turning data into insight Find new insights as you chop and tweak your data as never before Build a data narrative through interactive reports with drill-through and cross-page slicing Mash up data from multiple sources into a cleansed and coherent data model Build interdependent charts, maps, and tables to deliver visually stunninginformation Create dashboards that help in monitoring key performance indicators of your business Adapt delivery to mobile devices such as phones and tablets Who This Book Is For Power users who are ready to step up to the big leagues by going beyond what Microsoft Excel by itself can offer. The book also is for line-of-business managers who are starved for actionable data needed to make decisions about their business. And the book is for BI analysts looking for an easy-to-use tool to analyze data and share results with C-suite colleagues they support.



Self Service Analytics With Power Bi


Self Service Analytics With Power Bi
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Author : Annu Roy
language : en
Publisher: BPB Publications
Release Date : 2023-08-21

Self Service Analytics With Power Bi written by Annu Roy and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-21 with Computers categories.


Transform raw data into actionable insights by collecting, cleaning, analyzing, and visualizing data KEY FEATURES ● Use data analytics to create insights that drive better decision making. ● Create interactive visualizations that communicate data insights to stakeholders. ● Use visualizations to communicate the findings of your analysis in a way that is easy to understand and interpret. DESCRIPTION Data-driven culture is becoming increasingly important in modern enterprises, and self-service BI tools are making it easier for professionals to gain insights from data. This book serves as a practical and invaluable guide for all data-driven users, empowering them to gain insights rapidly and effortlessly, thereby enabling organizations to unlock the true potential of their data. This book is a practical guide that teaches readers how to use self-service BI tools to organize, clean, and analyze data. It offers step-by-step instructions on connecting to and refining data from various sources, including data lakes, data warehouses, cloud applications, and spreadsheets, including platforms such as Snowflake or Amazon Redshift. The book also provides expert guidance on smart data preparation and data discovery techniques, equipping you with a comprehensive understanding of all the capabilities and features of Power BI. Through practical examples, you will learn how to run, design, and test a wide array of analytics, along with insightful visualizations, heatmaps, and reports. By the end of the book, you will be able to use self-service BI tools to conduct analysis and generate data-driven business reports without any technical skills. WHAT YOU WILL LEARN ● Discover, combine, and transform data from various sources using Power Query. ● Learn how to create and manage data models in Power BI. ● Create a range of visualizations in Power BI, including charts, tables, and maps. ● Understand how to create, analyze, and share interactive reports in Power BI. ● Leverage Power BI Premium features to handle large datasets proficiently. WHO THIS BOOK IS FOR This book is for anyone who wants to learn about data analytics, regardless of their current role or experience level. TABLE OF CONTENTS 1. Getting Started with Power BI 2. Data Discovery Using Power Query 3. Data Modeling in Power BI 4. Visualizing Data in Power BI 5. Managing Reports in Power BI Service 6. Working with Large Data Volumes 7. DAX Reference Guide 8. Use Case - Creating a Risk Report in Power BI Epilogue Knowledge Check Answers



Beginning Power Bi


Beginning Power Bi
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Author : Dan Clark
language : en
Publisher: Apress
Release Date : 2017-02-28

Beginning Power Bi written by Dan Clark and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-28 with Computers categories.


Analyze your company’s data quickly and easily using Microsoft’s latest tools. You will learn to build scalable and robust data models to work from, clean and combine different data sources effectively, and create compelling visualizations and share them with your colleagues. Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This second edition includes new material on advanced uses of Power Query, along with the latest user guidance on the evolving Power BI platform. Beginning Power BI is your hands-on guide to quick, reliable, and valuable data insight. What You'll Learn Simplify data discovery, association, and cleansing Build solid analytical data models Create robust interactive data presentations Combine analytical and geographic data in map-based visualizations Publish and share dashboards and reports Who This Book Is For Business analysts, database administrators, developers, and other professionals looking to better understand and communicate with data



Data Analysis With Microsoft Power Bi


Data Analysis With Microsoft Power Bi
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Author : Brian Larson
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-01-03

Data Analysis With Microsoft Power Bi written by Brian Larson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-03 with Computers categories.


Explore, create, and manage highly interactive data visualizations using Microsoft Power BI Extract meaningful business insights from your disparate enterprise data using the detailed information contained in this practical guide. Written by a recognized BI expert and bestselling author, Data Analysis with Microsoft Power BI teaches you the skills you need to interact with, author, and maintain robust visualizations and custom data models. Hands-on exercises based on real-life business scenarios clearly demonstrate each technique. Publishing your results to the Power BI Service (PowerBI.com) and Power BI Report Server are also fully covered. Inside, you will discover how to: •Understand Business Intelligence and self-service analytics •Explore the tools and features of Microsoft Power BI •Create and format effective data visualizations •Incorporate advanced interactivity and custom graphics •Build and populate accurate data models •Transform data using the Power BI Query Editor •Work with measures, calculated columns, and tabular models •Write powerful DAX language scripts •Share content on the PowerBI Service (PowerBI.com) •Store your visualizations on the Power BI Report Server



Self Service Bi A Roadmap For Empowered Analytics 2025


Self Service Bi A Roadmap For Empowered Analytics 2025
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Author : AUTHOR: 1- LAXMI VANAM, AUTHOR: 2 - PROF DR. PUNIT GOEL
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Self Service Bi A Roadmap For Empowered Analytics 2025 written by AUTHOR: 1- LAXMI VANAM, AUTHOR: 2 - PROF DR. PUNIT GOEL and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


PREFACE In an era where data is often lauded as the new oil, the true differentiator is not merely its abundance but our ability to transform raw information into actionable insights—quickly, confidently, and at scale. Self-Service BI: A Roadmap for Empowered Analytics charts a comprehensive course for organizations and individuals aiming to democratize data, break down technical barriers, and embed analytics into every decision-making process. Drawing on the latest innovations in real-time and streaming analytics, AI-driven augmentation, embedded machine learning, and collaborative workflows, this volume presents a cohesive narrative of how self-service BI has evolved and where it is headed. Every chapter in this book builds upon extensive research, case studies, and emerging best practices. We explore the foundational principles of empowering non-technical users—from well-governed data catalogs and intuitive visual query builders to guide tutorials that foster data literacy. We delve into the architectural underpinnings that make real-time dashboards possible, demonstrating how event-streaming platforms like Kafka and Flink underpin near-instant updates and proactive alerting. We then examine the seamless integration of AI and AutoML directly within BI interfaces—where forecasting, anomaly detection, and clustering happen alongside everyday chart creation. Further chapters illuminate augmented analytics and natural-language querying, which liberate users from complex syntax by allowing them to speak or type questions in plain English. We unpack the rise of social BI—commenting, tagging, and co-authoring features that foster alignment across distributed teams. Embedded and mobile-first BI sections reveal offline caching, responsive design, and API-driven integrations ensure that analytics travel with the user, whether in a CRM, ERP, or bespoke portal. Advanced visualization techniques—AR/VR overlays and generative AI–powered narratives—offer a glimpse into immersive, next-generation experiences. Amidst these innovations, we never lose sight of governance, security, and ethical imperatives. Robust role-based access controls, row- and column-level security, encryption, and automated policy enforcement ensure that empowerment never comes at the cost of compliance or data integrity. Finally, we look ahead to autonomous decisioning agents—reinforcement-learning systems that not only surface insights but execute decisions and refine strategies autonomously Whether you are a data analyst, an executive leading digital transformation, an IT architect, or a budding citizen data scientist, this book offers both the conceptual framework, and the practical guidance needed to navigate the dynamic landscape of self-service BI. May this roadmap empower you to foster a truly data-driven culture where every stakeholder can glean insights, make informed choices, and drive sustained innovation. Authors Laxmi Vanam Prof. Dr. Punit Goel



Performance Dashboards


Performance Dashboards
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Author : Wayne W. Eckerson
language : en
Publisher: John Wiley & Sons
Release Date : 2005-10-27

Performance Dashboards written by Wayne W. Eckerson 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 2005-10-27 with Business & Economics categories.


Tips, techniques, and trends on how to use dashboard technology to optimize business performance Business performance management is a hot new management discipline that delivers tremendous value when supported by information technology. Through case studies and industry research, this book shows how leading companies are using performance dashboards to execute strategy, optimize business processes, and improve performance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for The Data Warehousing Institute (TDWI), the leading association of business intelligence and data warehousing professionals worldwide that provide high-quality, in-depth education, training, and research. He is a columnist for SearchCIO.com, DM Review, Application Development Trends, the Business Intelligence Journal, and TDWI Case Studies & Solution.



Hands On Cloud Analytics With Microsoft Azure Stack


Hands On Cloud Analytics With Microsoft Azure Stack
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Author : Prashila Naik
language : en
Publisher: BPB Publications
Release Date : 2020-11-12

Hands On Cloud Analytics With Microsoft Azure Stack written by Prashila Naik and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-12 with Computers categories.


Explore and work with various Microsoft Azure services for real-time Data Analytics KEY FEATURESÊ Understanding what Azure can do with your data Understanding the analytics services offered by Azure Understand how data can be transformed to generate more data Understand what is done after a Machine Learning model is builtÊ Go through some Data Analytics real-world use cases ÊÊ DESCRIPTIONÊ Data is the key input for Analytics. Building and implementing data platforms such as Data Lakes, modern Data Marts, and Analytics at scale require the right cloud platform that Azure provides through its services. The book starts by sharing how analytics has evolved and continues to evolve. Following the introduction, you will deep dive into ingestion technologies. You will learn about Data processing services in Azure. You will next learn about what is meant by a Data Lake and understand how Azure Data Lake Storage is used for analytical workloads. You will then learn about critical services that will provide actual Machine Learning capabilities in Azure. The book also talks about Azure Data Catalog for cataloging, Azure AD for Access Management, Web Apps and PowerApps for cloud web applications, Cognitive services for Speech, Vision, Search and Language, Azure VM for computing and Data Science VMs, Functions as serverless computing, Kubernetes and Containers as deployment options. Towards the end, the book discusses two use cases on Analytics. WHAT WILL YOU LEARNÊÊ Explore and work with various Azure services Orchestrate and ingest data using Azure Data Factory Learn how to use Azure Stream Analytics Get to know more about Synapse Analytics and its features Learn how to use Azure Analysis Services and its functionalities Ê WHO THIS BOOK IS FORÊ This book is for anyone who has basic to intermediate knowledge of cloud and analytics concepts and wants to use Microsoft Azure for Data Analytics. This book will also benefit Data Scientists who want to use Azure for Machine Learning. Ê TABLE OF CONTENTSÊÊ 1. Ê Data and its power 2. Ê Evolution of Analytics and its Types 3. Ê Internet of Things 4. Ê AI and ML 5. Ê Why cloud 6. Ê What are a data lake and a modern datamart 7. Ê Introduction to Azure services 8. Ê Types of data 9. Ê Azure Data Factory 10. Stream Analytics 11. Azure Data Lake Store and Azure Storage 12. Cosmos DB 13.Ê Synapse Analytics 14.Ê Azure Databricks 15.Ê Azure Analysis Services 16.Ê Power BI 17.Ê Azure Machine Learning 18.Ê Sample Architectures and synergies - Real-Time and Batch 19.Ê Azure Data Catalog 20.Ê Azure Active Directory 21.Ê Azure Webapps 22.Ê Power apps 23.Ê Time Series Insights 24.Ê Azure Cognitive Services 25.Ê Azure Logicapps 26.Ê Azure VM 27.Ê Azure Functions 28.Ê Azure Containers 29.Ê Azure KubernetesÊ Service 30.Ê Use Case 1 31.Ê Use Case 2



Power Bi Data Analysis And Visualization


Power Bi Data Analysis And Visualization
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Author : Suren Machiraju
language : en
Publisher: Deg Press
Release Date : 2018

Power Bi Data Analysis And Visualization written by Suren Machiraju and has been published by Deg Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computers categories.


This book will provide you a roadmap on vendor choices and highlight why Microsoft's Power BI is a very viable, low-priced option for data visualization. Covering both the fundamentals as well as discussions on both the most commonly used and adva



Self Service Analytics Simplified


Self Service Analytics Simplified
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Author : Arshad Khan
language : en
Publisher: Khan Consulting & Publishing LLC
Release Date : 2019-07-10

Self Service Analytics Simplified written by Arshad Khan and has been published by Khan Consulting & Publishing LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-10 with Computers categories.


Self-Service Analytics Simplified: How to Plan and Implement will introduce you to self-service analytics (SSA), which aims to make business users less dependent on IT for their reporting and analytics needs. This book, which teaches how to plan and implement an SSA project, will appeal to a broad range of users including senior executives, business and IT managers, project managers, data analysts, business analysts, developers, casual users, as well as IT professionals. The topics covered in Self-Service Analytics Simplified: How to Plan and Implement include an introduction to self-service analytics, relationship with BI, benefits for different types of users, readiness assessment, planning, data-related topics including metadata and data pipelining, architecture, tools, requirements, implementation, data governance, security, training, data and user onboarding, and barriers to adoption, as well as challenges, best practices, lessons, and tips.



Ai Powered Business Intelligence For Modern Organizations


Ai Powered Business Intelligence For Modern Organizations
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Author : Natarajan, Arul Kumar
language : en
Publisher: IGI Global
Release Date : 2024-10-01

Ai Powered Business Intelligence For Modern Organizations written by Natarajan, Arul Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-01 with Computers categories.


Technology’s rapid advancement has revolutionized how organizations gather, analyze, and utilize data. In this dynamic landscape, integrating artificial intelligence (AI) into business intelligence (BI) systems has emerged as a critical factor for driving informed decision-making and maintaining competitive advantage. This integration allows business to respond quickly to market changes, personalize customer experiences, and optimize operations with greater precision. As AI-driven BI tools continue to evolve, they empower organizations to harness vast amounts of data more effectively, making strategic decisions that are both timely and data-driven, thereby securing their position in an increasingly competitive marketplace. AI-Powered Business Intelligence for Modern Organizations provides a comprehensive overview of this transformative intersection, addressing the diverse challenges, opportunities, and future trends in this field. By exploring the integration of AI into BI systems, the text delves into how advanced analytics, machine learning, and automation are reshaping the way businesses operate. Covering topics such as augmented analytics, decision-making, and sustainability metrics, this book is an excellent resource for business leaders and executives, data scientists and analysts, IT and technology managers, academicians, researchers, graduate and postgraduate students, consultants, industry experts, and more.