Business Intelligence

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Release : 2012-11-27
Genre : Computers
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Book Rating : 909/5 ( reviews)

Business Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Business Intelligence write by David Loshin. This book was released on 2012-11-27. Business Intelligence available in PDF, EPUB and Kindle. Business Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge. Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program. It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata. Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered. This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts. Guides managers through developing, administering, or simply understanding business intelligence technology Keeps pace with the changes in best practices, tools, methods and processes used to transform an organization’s data into actionable knowledge Contains a handy, quick-reference to technologies and terminology

Bi

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Release : 2013-07-02
Genre : Social Science
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Book Rating : 757/5 ( reviews)

Bi - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bi write by Shiri Eisner. This book was released on 2013-07-02. Bi available in PDF, EPUB and Kindle. "A groundbreaking exploration of bisexual politics by a revolutionary thinker" (Publishers Weekly) provides the missing piece of the puzzle for readers who identify as bisexual Depicted as duplicitous, traitorous, and promiscuous, bisexuality has long been suspected, marginalized, and rejected by both straight and gay communities alike. Bi takes a long overdue, comprehensive look at bisexual politics, from the issues surrounding biphobia/monosexism, feminism, and transgenderism to the practice of labeling those who identify as bi as either "too bisexual" (promiscuous and incapable of fidelity) or "not bisexual enough" (not actively engaging romantically or sexually with people of at least two different genders). In this forward-thinking and eye-opening book, feminist bisexual and genderqueer activist Shiri Eisner takes readers on a journey through the many aspects of the meanings and politics of bisexuality, specifically highlighting how bisexuality can open up new and exciting ways of challenging social convention. Informed by feminist, transgender, and queer theory, as well as politics and activism, Bi is a radical manifesto for a group that has been too frequently silenced, erased, and denied -- and a starting point from which to launch a bisexual revolution.

Business Intelligence

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Release : 2013-02-19
Genre : Computers
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Book Rating : 705/5 ( reviews)

Business Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Business Intelligence write by Rajiv Sabherwal. This book was released on 2013-02-19. Business Intelligence available in PDF, EPUB and Kindle. Business professionals who want to advance their careers need to have a strong understanding of how to utilize business intelligence. This new book provides a comprehensive introduction to the basic business and technical concepts they’ll need to know. It integrates case studies that demonstrate how to apply the material. Business professionals will also find suggested further readings that will develop their knowledge and help them succeed.

Mastering Microsoft Power BI

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Release : 2018-03-29
Genre : Computers
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Book Rating : 286/5 ( reviews)

Mastering Microsoft Power BI - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mastering Microsoft Power BI write by Brett Powell. This book was released on 2018-03-29. Mastering Microsoft Power BI available in PDF, EPUB and Kindle. Design, create and manage robust Power BI solutions to gain meaningful business insights Key Features Master all the dashboarding and reporting features of Microsoft Power BI Combine data from multiple sources, create stunning visualizations and publish your reports across multiple platforms A comprehensive guide with real-world use cases and examples demonstrating how you can get the best out of Microsoft Power BI Book DescriptionThis book is intended for business intelligence professionals responsible for the design and development of Power BI content as well as managers, architects and administrators who oversee Power BI projects and deployments. The chapters flow from the planning of a Power BI project through the development and distribution of content to the administration of Power BI for an organization. BI developers will learn how to create sustainable and impactful Power BI datasets, reports, and dashboards. This includes connecting to data sources, shaping and enhancing source data, and developing an analytical data model. Additionally, top report and dashboard design practices are described using features such as Bookmarks and the Power KPI visual. BI managers will learn how Power BI’s tools work together such as with the On-premises data gateway and how content can be staged and securely distributed via Apps. Additionally, both the Power BI Report Server and Power BI Premium are reviewed. By the end of this book, you will be confident in creating effective charts, tables, reports or dashboards for any kind of data using the tools and techniques in Microsoft Power BI.What you will learn Build efficient data retrieval and transformation processes with the Power Query M Language Design scalable, user-friendly DirectQuery and Import Data Models Develop visually rich, immersive, and interactive reports and dashboards Maintain version control and stage deployments across development, test, and production environments Manage and monitor the Power BI Service and the On-premises data gateway Develop a fully on-premise solution with the Power BI Report Server Scale up a Power BI solution via Power BI Premium capacity and migration to Azure Analysis Services or SQL Server Analysis Services Who this book is for Business Intelligence professionals and existing Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book to be useful. While understanding of the basic BI concepts is required, some exposure to Microsoft Power BI will be helpful.

AI Meets BI

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Release : 2020-11-03
Genre : Computers
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Book Rating : 957/5 ( reviews)

AI Meets BI - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI Meets BI write by Lakshman Bulusu. This book was released on 2020-11-03. AI Meets BI available in PDF, EPUB and Kindle. With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics. BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision making. Decisions can be made on the basis of more reliable and accurate information and intelligence, which can lead to valuable, actionable insights for business. Previously, BI professionals were stymied by bad or incomplete data, poorly architected solutions, or even just outright incapable systems or resources. With the advent of AI, BI has new possibilities for effectiveness. This is a long-awaited phase for practitioners and developers and, moreover, for executives and leaders relying on knowledgeable and intelligent decision making for their organizations. Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical architectures of the first, second, and third generations of BI. It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models. The crux of the book is four industry use cases. They describe how an enterprise can access, assess, and perform analytics on data by way of discovering data, defining key metrics that enable the same, defining governance rules, and activating metadata for AI/ML recommendations. Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms, this book provides complete code for each of the implementations, along with the output of the code, supplemented by visuals that aid in BI-enabled decision making. Concluding with a brief discussion of the cognitive computing aspects of AI, the book looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI.