Self Service Analytics Simplified
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Self-Service Analytics Simplified
Author: Arshad Khan
language: en
Publisher: Khan Consulting & Publishing LLC
Release Date: 2019-07-10
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.
Self-Service BI: A Roadmap for Empowered Analytics 2025
Author: AUTHOR: 1- LAXMI VANAM, AUTHOR: 2 - PROF DR. PUNIT GOEL
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
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
Self-Service Analytics with Power BI
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