Ahmed Sherif

Practical Business Intelligence (eBook, PDF)

• Format: PDF

Produktbeschreibung

Learn to get the most out of your business data to optimize your businessAbout This BookThis book will enable and empower you to break free of the shackles of spreadsheetsLearn to make informed decisions using the data at hand with this highly practical, comprehensive guideThis book includes real-world use cases that teach you how analytics can be put to work to optimize your businessUsing a fictional transactional dataset in raw form, you'll work your way up to ultimately creating a fully-functional warehouse and a fleshed-out BI platform Who This Book Is ForThis book is for anyone who has wrangled with data to try to perform automated data analysis through visualizations for themselves or their customers. This highly-customized guide is for developers who know a bit about analytics but don't know how to make use of it in the field of business intelligence.What You Will LearnCreate a BI environment that enables self-service reportingUnderstand SQL and the aggregation of dataDevelop a data model suitable for analytical reportingConnect a data warehouse to the analytic reporting toolsUnderstand the specific benefits behind visualizations with D3.js, R, Tableau, QlikView, and PythonGet to know the best practices to develop various reports and applications when using BI toolsExplore the field of data analysis with all the data we will use for reportingIn DetailBusiness Intelligence (BI) is at the crux of revolutionizing enterprise. Everyone wants to minimize losses and maximize profits. Thanks to Big Data and improved methodologies to analyze data, Data Analysts and Data Scientists are increasingly using data to make informed decisions. Just knowing how to analyze data is not enough, you need to start thinking how to use data as a business asset and then perform the right analysis to build an insightful BI solution. Efficient BI strives to achieve the automation of data for ease of reporting and analysis.Through this book, you will develop the ability to think along the right lines and use more than one tool to perform analysis depending on the needs of your business. We start off by preparing you for data analytics. We then move on to teach you a range of techniques to fetch important information from various databases, which can be used to optimize your business.The book aims to provide a full end-to-end solution for an environment setup that can help you make informed business decisions and deliver efficient and automated BI solutions to any company.It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market.Style and approachPacked with real-world examples, this pragmatic guide helps you polish your data and make informed decisions for your business. We cover both business and data analysis perspectives, blending theory and practical hands-on work so that you perceive data as a business asset.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 352
• Erscheinungstermin: 21. Dezember 2016
• Englisch
• ISBN-13: 9781785889974
• Artikelnr.: 56803536

Autorenporträt

Ahmed SherifAhmed Sherif is a data scientist who has been working with data in various roles since 2005. He started off with BI solutions and transitioned to data science in 2013. In 2016, he obtained a master's in Predictive Analytics from Northwestern University, where he studied the science and application of ML and predictive modeling using both Python and R. Lately, he has been developing ML and deep learning solutions on the cloud using Azure. In 2016, he published his first book, Practical Business Intelligence. He currently works as a Technology Solution Profession in Data and AI for Microsoft.Amrith RavindraAmrith Ravindra is a machine learning enthusiast who holds degrees in electrical and industrial engineering. While pursuing his masters he dove deeper into the world of ML and developed the love for data science. Graduate level courses in engineering gave him the mathematical background to launch himself into a career in ML. He met Ahmed Sherif at a local data science meetup in Tampa. They decided to put their brains together to write a book on their favorite ML algorithms. He hopes that this book will help him achieve his ultimate goal of becoming a data scientist and actively contributing to ML.