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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.
Book Synopsis Self-Service Analytics Simplified by : Arshad Khan
Download or read book Self-Service Analytics Simplified written by Arshad Khan and published by Khan Consulting & Publishing LLC. This book was released on 2019-07-10 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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
Book Synopsis Self-Service Analytics with Power BI by : Annu Roy
Download or read book Self-Service Analytics with Power BI written by Annu Roy and published by BPB Publications. This book was released on 2023-08-21 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Project governance, investment governance, and risk governance precepts are woven together in Self-Service Data Analytics and Governance for Managers, equipping managers to structure the inevitable chaos that can result as end-users take matters into their own hands Motivated by the promise of control and efficiency benefits, the widespread adoption of data analytics tools has created a new fast-moving environment of digital transformation in the finance, accounting, and operations world, where entire functions spend their days processing in spreadsheets. With the decentralization of application development as users perform their own analysis on data sets and automate spreadsheet processing without the involvement of IT, governance must be revisited to maintain process control in the new environment. In this book, emergent technologies that have given rise to data analytics and which form the evolving backdrop for digital transformation are introduced and explained, and prominent data analytics tools and capabilities will be demonstrated based on real world scenarios. The authors will provide a much-needed process discovery methodology describing how to survey the processing landscape to identify opportunities to deploy these capabilities. Perhaps most importantly, the authors will digest the mature existing data governance, IT governance, and model governance frameworks, but demonstrate that they do not comprehensively cover the full suite of data analytics builds, leaving a considerable governance gap. This book is meant to fill the gap and provide the reader with a fit-for-purpose and actionable governance framework to protect the value created by analytics deployment at scale. Project governance, investment governance, and risk governance precepts will be woven together to equip managers to structure the inevitable chaos that can result as end-users take matters into their own hands.
Book Synopsis Self-Service Data Analytics and Governance for Managers by : Nathan E. Myers
Download or read book Self-Service Data Analytics and Governance for Managers written by Nathan E. Myers and published by John Wiley & Sons. This book was released on 2021-04-28 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project governance, investment governance, and risk governance precepts are woven together in Self-Service Data Analytics and Governance for Managers, equipping managers to structure the inevitable chaos that can result as end-users take matters into their own hands Motivated by the promise of control and efficiency benefits, the widespread adoption of data analytics tools has created a new fast-moving environment of digital transformation in the finance, accounting, and operations world, where entire functions spend their days processing in spreadsheets. With the decentralization of application development as users perform their own analysis on data sets and automate spreadsheet processing without the involvement of IT, governance must be revisited to maintain process control in the new environment. In this book, emergent technologies that have given rise to data analytics and which form the evolving backdrop for digital transformation are introduced and explained, and prominent data analytics tools and capabilities will be demonstrated based on real world scenarios. The authors will provide a much-needed process discovery methodology describing how to survey the processing landscape to identify opportunities to deploy these capabilities. Perhaps most importantly, the authors will digest the mature existing data governance, IT governance, and model governance frameworks, but demonstrate that they do not comprehensively cover the full suite of data analytics builds, leaving a considerable governance gap. This book is meant to fill the gap and provide the reader with a fit-for-purpose and actionable governance framework to protect the value created by analytics deployment at scale. Project governance, investment governance, and risk governance precepts will be woven together to equip managers to structure the inevitable chaos that can result as end-users take matters into their own hands.
The world's most valuable resource is data. Companies across all industry verticals are using data-driven insights as a key competitive advantage. But the time required for transforming raw data to insights can take days or weeks when you want it in minutes or hours. Data scientists spend nearly 80% of their time in data engineering, rather than developing insights. And most organizations can't scale their data science teams fast enough to keep up with growing business needs for better, faster insights. This book will help data engineers, data scientists, and data team managers address these issues by building a self-service data science platform that democratizes the ability to extract insights from the data to everyone in the organization. Data scientists, software engineers, product managers, and marketers can use it to discover, transform, and analyze data and publish automated insights in production. This book is not: A deep dive into the "shiny new" technologies, or any one specific technology A silver bullet technology for building a self-service portal. Organizations differ in their maturity, people, process, and technology and require tailored solutions This book is: A collection of must-have operational capabilities for building a self-service data portal A blueprint for achieving better and faster insights A process for democratizing data engineering expertise across an organization A practical and indispensable guide for any decision-maker, implementer, or strategist working with an organization's data science platform.
Book Synopsis The Self-Service Data Roadmap by : Sandeep Uttamchandani
Download or read book The Self-Service Data Roadmap written by Sandeep Uttamchandani and published by . This book was released on 2020-10-13 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world's most valuable resource is data. Companies across all industry verticals are using data-driven insights as a key competitive advantage. But the time required for transforming raw data to insights can take days or weeks when you want it in minutes or hours. Data scientists spend nearly 80% of their time in data engineering, rather than developing insights. And most organizations can't scale their data science teams fast enough to keep up with growing business needs for better, faster insights. This book will help data engineers, data scientists, and data team managers address these issues by building a self-service data science platform that democratizes the ability to extract insights from the data to everyone in the organization. Data scientists, software engineers, product managers, and marketers can use it to discover, transform, and analyze data and publish automated insights in production. This book is not: A deep dive into the "shiny new" technologies, or any one specific technology A silver bullet technology for building a self-service portal. Organizations differ in their maturity, people, process, and technology and require tailored solutions This book is: A collection of must-have operational capabilities for building a self-service data portal A blueprint for achieving better and faster insights A process for democratizing data engineering expertise across an organization A practical and indispensable guide for any decision-maker, implementer, or strategist working with an organization's data science platform.
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.
Book Synopsis The Data Warehouse Toolkit by : Ralph Kimball
Download or read book The Data Warehouse Toolkit written by Ralph Kimball and published by John Wiley & Sons. This book was released on 2011-08-08 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform Key Features Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and make accurate predictions Includes real-world examples to put your understanding of the features in Alteryx to practical use Book Description Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx's features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book. The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx's self-service analytics features, this book will be the perfect companion for you. What you will learn Create efficient workflows with Alteryx to answer complex business questions Learn how to speed up the cleansing, data preparing, and shaping process Blend and join data into a single dataset for self-service analysis Write advanced expressions in Alteryx leading to an optimal workflow for efficient processing of huge data Develop high-quality, data-driven reports to improve consistency in reporting and analysis Explore the flexibility of macros by automating analytic processes Apply predictive analytics from spatial, demographic, and behavioral analysis and quickly publish, schedule Share your workflows and insights with relevant stakeholders Who this book is for This book is for aspiring data professionals who want to learn and implement self-service analytics from scratch, without any coding. Those who have some experience with Alteryx and want to gain more proficiency will also find this book to be useful. A basic understanding of the data science concepts is all you need to get started with this book.
Book Synopsis Learning Alteryx by : Renato Baruti
Download or read book Learning Alteryx written by Renato Baruti and published by Packt Publishing. This book was released on 2017-12-26 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform Key Features Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and make accurate predictions Includes real-world examples to put your understanding of the features in Alteryx to practical use Book Description Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx's features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book. The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx's self-service analytics features, this book will be the perfect companion for you. What you will learn Create efficient workflows with Alteryx to answer complex business questions Learn how to speed up the cleansing, data preparing, and shaping process Blend and join data into a single dataset for self-service analysis Write advanced expressions in Alteryx leading to an optimal workflow for efficient processing of huge data Develop high-quality, data-driven reports to improve consistency in reporting and analysis Explore the flexibility of macros by automating analytic processes Apply predictive analytics from spatial, demographic, and behavioral analysis and quickly publish, schedule Share your workflows and insights with relevant stakeholders Who this book is for This book is for aspiring data professionals who want to learn and implement self-service analytics from scratch, without any coding. Those who have some experience with Alteryx and want to gain more proficiency will also find this book to be useful. A basic understanding of the data science concepts is all you need to get started with this book.
Argues against the value of big data, suggesting that it is a marketing campaign that distracts from the real and important work of deriving value from data.
Book Synopsis Big Data, Big Dupe by : Stephen Few
Download or read book Big Data, Big Dupe written by Stephen Few and published by . This book was released on 2018-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argues against the value of big data, suggesting that it is a marketing campaign that distracts from the real and important work of deriving value from data.
Manage, control, and optimize your cloud spend on AWS Key FeaturesLearn best practices for implementing a cloud FinOps discipline with AWSSet up your organization for success by enabling people, process, and organizationChoose the right pricing model strategy to optimize the use of AWS resourcesBook Description Much like how DevOps is a combination of cultural philosophies, practices, and tools that advocate a collaborative working relationship between development and IT operations, FinOps encourages the same collaboration between technology and finance team, making it key relationship to establish and maintain for any thriving business. This book will help you understand how organizations with a mature FinOps practice can decentralize cost ownership to developer teams and encourage cross-functional collaboration between business, finance, and technology, enabling speed, innovation, and business growth. You'll focus on structuring your organization to form the right FinOps team, including a Cloud Center of Excellence, and learn how to implement practical cost savings measures with AWS tools to optimize costs in both the short as well as long term. By the end of this cloud FinOps book, you'll be ready to implement a successful Cloud FinOps practice for your organization to get the best value from the AWS cloud for your workloads. What you will learnUse AWS services to monitor and govern your cost, usage, and spendImplement automation to streamline cost optimization operationsDesign the best architecture that fits your workload and optimizes on data transferOptimize costs by maximizing efficiency with elasticity strategiesImplement cost optimization levers to save on compute and storage costsBring value to your organization by identifying strategies to create and govern cost metricsWho this book is for This book is for enterprise architects, cloud architects, CFOs, CTOs, product managers, finance managers, and FinOps practitioners looking to optimize their use of the cloud. This book guides you through tools, strategies, and frameworks to minimize costs, allowing your business to realize sustainable financial benefits and efficiently use cloud resources.
Book Synopsis AWS FinOps Simplified by : Peter Chung
Download or read book AWS FinOps Simplified written by Peter Chung and published by Packt Publishing Ltd. This book was released on 2022-10-21 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manage, control, and optimize your cloud spend on AWS Key FeaturesLearn best practices for implementing a cloud FinOps discipline with AWSSet up your organization for success by enabling people, process, and organizationChoose the right pricing model strategy to optimize the use of AWS resourcesBook Description Much like how DevOps is a combination of cultural philosophies, practices, and tools that advocate a collaborative working relationship between development and IT operations, FinOps encourages the same collaboration between technology and finance team, making it key relationship to establish and maintain for any thriving business. This book will help you understand how organizations with a mature FinOps practice can decentralize cost ownership to developer teams and encourage cross-functional collaboration between business, finance, and technology, enabling speed, innovation, and business growth. You'll focus on structuring your organization to form the right FinOps team, including a Cloud Center of Excellence, and learn how to implement practical cost savings measures with AWS tools to optimize costs in both the short as well as long term. By the end of this cloud FinOps book, you'll be ready to implement a successful Cloud FinOps practice for your organization to get the best value from the AWS cloud for your workloads. What you will learnUse AWS services to monitor and govern your cost, usage, and spendImplement automation to streamline cost optimization operationsDesign the best architecture that fits your workload and optimizes on data transferOptimize costs by maximizing efficiency with elasticity strategiesImplement cost optimization levers to save on compute and storage costsBring value to your organization by identifying strategies to create and govern cost metricsWho this book is for This book is for enterprise architects, cloud architects, CFOs, CTOs, product managers, finance managers, and FinOps practitioners looking to optimize their use of the cloud. This book guides you through tools, strategies, and frameworks to minimize costs, allowing your business to realize sustainable financial benefits and efficiently use cloud resources.
"As a technologist, entrepreneur, and philanthropist, Raj Vattikuti has the ideal background to outline the steps of creating a Digital Strategy. Ram Charan is one of the world's most influential consultants who brings deep business insight and understanding of digital business. Together Raj and Ram explain the benefits and pitfalls of various approaches and why standing still means failure. This book explains how a digital business thinks, operates with agility, develops deeper customer relationships, and appropriately uses technology. It also emphasizes that developing a Digital Strategy is an ongoing process to sustain a competitive advantage and provides a template to help business compete in a digital economy. This book offers a practical perspective from decades of partnering with various businesses across many sectors and outlines how to create value for your customers and business." Jacques Nasser AC "Raj Vattikuti and Ram Charan have seen what so many others have missed- that real digital transformation starts and ends with the business. The central lessons of their book are what every leader needs to hear: Give digital ownership to the business. Take an agile, iterative approach to investment. Design an innovation process based on experimentation. Push for speed and build digital products in weeks, not years. Shift the culture to empower employees, collaborate across silos, and focus on outcomes. This is how digital transformation delivers lasting growth. If you are leading a legacy business today, you cannot afford anything less!" David L. Rogers, global bestselling author of "The Digital Transformation Playbook" "This book is a game changer: no longer will the IT department be seen as disconnected from digital imperatives. Data ultimately should determine the direction of business strategy, capital allocation, and how to assess competitive threats and opportunities. Raj and Ram present the business case for driving digital solutions through innovative IT platforms which keep the plane afloat while installing a new digital engine." Dennis Carey, Vice Chairman Korn Ferry, Founder The Prium and The CEO-Academy
Book Synopsis Digital Simplified by : Raj Vattikuti
Download or read book Digital Simplified written by Raj Vattikuti and published by Imagine and Wonder. This book was released on 2022-12-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: "As a technologist, entrepreneur, and philanthropist, Raj Vattikuti has the ideal background to outline the steps of creating a Digital Strategy. Ram Charan is one of the world's most influential consultants who brings deep business insight and understanding of digital business. Together Raj and Ram explain the benefits and pitfalls of various approaches and why standing still means failure. This book explains how a digital business thinks, operates with agility, develops deeper customer relationships, and appropriately uses technology. It also emphasizes that developing a Digital Strategy is an ongoing process to sustain a competitive advantage and provides a template to help business compete in a digital economy. This book offers a practical perspective from decades of partnering with various businesses across many sectors and outlines how to create value for your customers and business." Jacques Nasser AC "Raj Vattikuti and Ram Charan have seen what so many others have missed- that real digital transformation starts and ends with the business. The central lessons of their book are what every leader needs to hear: Give digital ownership to the business. Take an agile, iterative approach to investment. Design an innovation process based on experimentation. Push for speed and build digital products in weeks, not years. Shift the culture to empower employees, collaborate across silos, and focus on outcomes. This is how digital transformation delivers lasting growth. If you are leading a legacy business today, you cannot afford anything less!" David L. Rogers, global bestselling author of "The Digital Transformation Playbook" "This book is a game changer: no longer will the IT department be seen as disconnected from digital imperatives. Data ultimately should determine the direction of business strategy, capital allocation, and how to assess competitive threats and opportunities. Raj and Ram present the business case for driving digital solutions through innovative IT platforms which keep the plane afloat while installing a new digital engine." Dennis Carey, Vice Chairman Korn Ferry, Founder The Prium and The CEO-Academy
Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.
Book Synopsis Disruptive Analytics by : Thomas W. Dinsmore
Download or read book Disruptive Analytics written by Thomas W. Dinsmore and published by Apress. This book was released on 2016-08-27 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.
