Self Service Bi A Roadmap For Empowered Analytics 2025
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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
Intelligent Product Management In The Era Of Data Democratization A Bi Centric Approach 2025
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Author : AUTHOR-1: SHIREESHA GORGILLI, AUTHOR-2: PROF DR PUNIT GOEL
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Intelligent Product Management In The Era Of Data Democratization A Bi Centric Approach 2025 written by AUTHOR-1: SHIREESHA GORGILLI, 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 the evolving landscape of digital product management, data is no longer a support tool—it is the strategic core. Today’s product leaders are expected not just to build delightful features, but to make rapid, high-stakes decisions informed by real-time data, predictive insights, and collaborative intelligence. The rise of business intelligence (BI) and data democratization has shifted the way organizations think, operate, and scale. This book, “Intelligent Product Management in the Era of Data Democratization: A BI-Centric Approach—serves as a comprehensive guide to this transformation. Whether you’re a product manager navigating cross-functional dynamics, a data engineer embedding predictive analytics into product pipelines, or a business leader scaling governance framework, this book offers the tools, case studies, and frameworks to help you thrive in a BI-enabled world. Each chapter explores a foundational pillar of intelligent product management—from building a data-driven culture and integrating BI across lifecycles, to architecting intelligent metrics systems and deploying automation at scale. Chapter 1 introduces the foundational principles of data democratization, setting the stage for product teams to unlock data fluency and equitable access across roles. Chapter 2 emphasizes cultural transformation, where leadership plays a pivotal role in nurturing a decision-intelligent environment. Chapter 3 dives deep into the BI technology stack, guiding readers through platforms, pipelines, and self-service frameworks essential for modern data operations. Chapters 4 through 6 explore the integration of BI into daily product workflows, visualization best practices, and advanced analytics paradigms—highlighting both centralized and distributed models of control. Chapter 7 ventures into a specialized application of predictive intelligence: battery diagnostics—showing how machine learning revolutionizes lifecycle forecasting and anomaly detection in energy systems. As organizations move from insight to action, Chapters 8 to 10 illustrate the power of collaboration, automation, and role-based governance in driving excellence at scale. These sections provide detailed blueprints for aligning products, engineering, and data teams around shared metrics and objectives, while also reducing operational friction through embedded intelligence and automated experimentation. Finally, Chapter 11 synthesizes the book’s themes through a future-facing lens: designing an intelligent metrics architecture that scales with your product’s complexity and growth. It champions metric thinking not just as a measurement practice, but as a product design principle rooted in continuous learning and impact. This book is designed to be practical yet forward-looking, informed by real-world examples from high-growth companies, backed by research, and structured to serve both new and experienced professionals. In a world where decisions are product features, our aim is to equip you with the mindset and tools to lead boldly with intelligence, empathy, and data. Authors
The Self Service Data Roadmap
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Author : Sandeep Uttamchandani
language : en
Publisher: O'Reilly Media
Release Date : 2020-09-10
The Self Service Data Roadmap written by Sandeep Uttamchandani and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-10 with Computers categories.
Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization
Data Mining And Business Intelligence
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Author : Dr. Jyotiranjan Hota
language : en
Publisher: BPB Publications
Release Date : 2025-05-20
Data Mining And Business Intelligence written by Dr. Jyotiranjan Hota and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.
DESCRIPTION Data mining is crucial in business intelligence as it enables organizations to extract valuable insights and patterns from vast datasets, ultimately supporting informed decision-making, enhancing operational efficiency, and driving strategic growth. Validations, model building and interpretations are accomplished through databases, data warehouses, various supervised and unsupervised algorithms, tools for data modeling, descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics to ensure accurate decision-making. This book systematically explores the core concepts and techniques of data mining and business intelligence. It begins by introducing fundamental principles and key methodologies, including regression, classification, association rule mining, and clustering. The text progresses to cover business intelligence architectures, data warehousing, and essential practices like data modeling, dashboard design, and data visualization using tools like Power BI. Furthermore, it delves into advanced topics such as text mining, big data analytics, and the ethical considerations surrounding data mining and business intelligence, ensuring a well-rounded understanding. Upon completing this book, readers will be competent in understanding various pre-processing techniques, applying appropriate data mining algorithms to large data sets, and conducting data analysis and interpretation to derive meaningful insights. They will also gain skills in data modeling and visualization to effectively communicate findings to business leaders and policymakers. Additionally, readers will develop an understanding of ethical considerations in data practices. WHAT YOU WILL LEARN ● Conducting pre-processing of data, applying appropriate algorithm to generate model summary and communicating the result effectively. ● Master data mining, BI principles, regression, classification, association rules, and clustering. ● Design BI architectures, ETL processes, data warehouses, and effective data visualizations. ● Utilize Power BI for data modeling, dashboard design, and create compelling data visualizations. ● Explore text mining, big data analytics, and the ethical dimensions of data practices. ● Implement regression, classification, association rule mining, and clustering techniques. ● Develop expertise in data mining, business intelligence, and ethical data application. WHO THIS BOOK IS FOR This textbook is written for a wide range of audiences, including professionals such as data analysts, business managers, IT specialists, analytics professionals, and researchers seeking to enhance their understanding of data-driven decision-making. It is also valuable for students who want to establish foundational knowledge in data mining and business intelligence. TABLE OF CONTENTS 1. Introduction to Data Mining and Business Intelligence 2. Regression and Classification Techniques with Applications 3. Concept and Application of Association Rule Mining Algorithm 4. Clustering 5. Introduction to Business Intelligence 6. Business Intelligence Architecture, Query and Reporting Practices 7. Advanced Data Mining and Business Intelligence Techniques 8. Data Mining and Business Intelligence Ethical Framework
Data That Drives Engineering Bi And Etl For Business Transformation
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Author : Dhaval Patolia
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-05-23
Data That Drives Engineering Bi And Etl For Business Transformation written by Dhaval Patolia and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
Business Intelligence (BI) and Extract, Transform, and Load (ETL) procedures are becoming more important to organisations in today's data- driven economy. These processes are used to drive strategic decision-making and obtain a competitive edge. Within the context of facilitating business transformation, this chapter offers an examination of the crucial role that developing effective BI and ETL frameworks plays. Business intelligence systems are able to transform raw data into actionable insights that can be used to improve operational efficiency, customer engagement, and innovation. This is accomplished via the systematic collection, processing, and analysis of massive amounts of heterogeneous data and information. An emphasis is placed in the research on the architectural design of ETL pipelines that are scalable, adaptable, and real-time. These pipelines should guarantee that data is of high quality, consistent, and timely. It analyses contemporary data engineering approaches such as API integration, Change Data Capture (CDC), and stream processing, all of which make it possible to consume and convert data from a variety of sources in a seamless manner. In addition to this, the study emphasises the use of sophisticated analytics and visualisation technologies that provide stakeholders at all levels of the organisation additional leverage. This chapter explains, through the use of case studies and best practices, how well-engineered business intelligence (BI) and enterprise transaction flow (ETL) systems not only increase the accuracy of reporting and forecasting, but also allow proactive business plans, agile reactions to changes in the market, and continuous development. The results highlight how important it is to achieve alignment between data engineering and business objectives, governance regulations, and new technologies like as machine learning and cloud computing. The purpose of this work is to provide a thorough guide for data engineers, business analysts, and decision-makers who are interested in maximising the potential of their data assets in order to achieve real business change.
The Data Warehouse Toolkit
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Author : Ralph Kimball
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-08
The Data Warehouse Toolkit written by Ralph Kimball 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 2011-08-08 with Computers categories.
This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.
The Organisation Of Tomorrow
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Author : Mark Van Rijmenam
language : en
Publisher: Routledge
Release Date : 2019-07-19
The Organisation Of Tomorrow written by Mark Van Rijmenam and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-19 with Business & Economics categories.
The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions. It also asks us to consider the impacts of these emerging information technologies on people and society. Big data analytics empowers consumers and employees. This can result in an open strategy and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and trustless interactions governed by cryptography and smart contracts. Meanwhile, artificial intelligence allows for new and different levels of intensity and involvement among human and artificial actors. With that, new modes of organising are emerging: where technology facilitates collaboration between stakeholders; and where human-to-human interactions are increasingly replaced with human-to-machine and even machine-to-machine interactions. This book offers dozens of examples of industry leaders such as Walmart, Telstra, Alibaba, Microsoft and T-Mobile, before presenting the D2 + A2 model – a new model to help organisations datafy their business, distribute their data, analyse it for insights and automate processes and customer touchpoints to be ready for the data-driven and exponentially-changing society that is upon us This book offers governments, professional services, manufacturing, finance, retail and other industries a clear approach for how to develop products and services that are ready for the twenty-first century. It is a must-read for every organisation that wants to remain competitive in our fast-changing world.
Fail Fast Learn Faster
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Author : Randy Bean
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-31
Fail Fast Learn Faster written by Randy Bean 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 2021-08-31 with Business & Economics categories.
Explore why — now more than ever — the world is in a race to become data-driven, and how you can learn from examples of data-driven leadership in an Age of Disruption, Big Data, and AI In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, Fortune 1000 strategic advisor, noted author, and distinguished thought leader Randy Bean tells the story of the rise of Big Data and its business impact – its disruptive power, the cultural challenges to becoming data-driven, the importance of data ethics, and the future of data-driven AI. The book looks at the impact of Big Data during a period of explosive information growth, technology advancement, emergence of the Internet and social media, and challenges to accepted notions of data, science, and facts, and asks what it means to become "data-driven." Fail Fast, Learn Faster includes discussions of: The emergence of Big Data and why organizations must become data-driven to survive Why becoming data-driven forces companies to "think different" about their business The state of data in the corporate world today, and the principal challenges Why companies must develop a true "data culture" if they expect to change Examples of companies that are demonstrating data-driven leadership and what we can learn from them Why companies must learn to "fail fast and learn faster" to compete in the years ahead How the Chief Data Officer has been established as a new corporate profession Written for CEOs and Corporate Board Directors, data professional and practitioners at all organizational levels, university executive programs and students entering the data profession, and general readers seeking to understand the Information Age and why data, science, and facts matter in the world in which we live, Fail Fast, Learn Faster p;is essential reading that delivers an urgent message for the business leaders of today and of the future.
Big Data
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Author :
language : en
Publisher:
Release Date : 2011
Big Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Competition, International categories.
Serve A Niche You Truly Understand Build With Insight Not Guesswork
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Author : Ahmed Musa
language : en
Publisher: Recorded Books
Release Date : 2025-05-31
Serve A Niche You Truly Understand Build With Insight Not Guesswork written by Ahmed Musa and has been published by Recorded Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-31 with Business & Economics categories.
Here’s the deal: if you don’t get your niche inside and out, you’re just throwing darts blindfolded—hoping something sticks. Serve A Niche You Truly Understand is your wake-up call to stop guessing and start building on rock-solid insight. This book shows you how to dive deep into the real problems, desires, and dreams of a niche you actually know—not some trendy crowd you read about on LinkedIn. Inside, you’ll learn: – How to identify the niche where you have the inside scoop (and why that matters) – Why understanding pain points beats flashy marketing every time – How to craft offers and messages that feel like a handshake, not a sales pitch – And how to turn real insight into fast, loyal customers who keep coming back Stop wasting time on surface-level trends and start building something real. Because when you truly understand your people, selling isn’t selling—it’s serving. And that’s how empires are built. Read this. Serve smart. Build from insight. Win for keeps.