Practical Business Intelligence
Ahmed Sherif
- 出版商: Packt Publishing
- 出版日期: 2016-12-22
- 售價: $2,180
- 貴賓價: 9.5 折 $2,071
- 語言: 英文
- 頁數: 416
- 裝訂: Paperback
- ISBN: 178588543X
- ISBN-13: 9781785885433
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相關主題
商品描述
Learn to get the most out of your business data to optimize your business
About This Book
- This book will enable and empower you to break free of the shackles of spreadsheets
- Learn to make informed decisions using the data at hand with this highly practical, comprehensive guide
- This book includes real-world use cases that teach you how analytics can be put to work to optimize your business
- Using 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 For
This 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 Learn
- Create a BI environment that enables self-service reporting
- Understand SQL and the aggregation of data
- Develop a data model suitable for analytical reporting
- Connect a data warehouse to the analytic reporting tools
- Understand the specific benefits behind visualizations with D3.js, R, Tableau, QlikView, and Python
- Get to know the best practices to develop various reports and applications when using BI tools
- Explore the field of data analysis with all the data we will use for reporting
In Detail
Business 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 approach
Packed 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.
商品描述(中文翻譯)
學會充分利用您的商業數據以優化業務
關於本書
- 本書將使您擺脫電子表格的束縛,獲得自主權
- 學習如何利用手頭的數據做出明智的決策,這是一本高度實用且全面的指南
- 本書包含實際案例,教您如何將分析應用於優化業務
- 使用一個虛構的原始交易數據集,您將逐步建立一個功能完善的數據倉庫和一個完整的商業智慧平台
本書適合誰
本書適合任何曾經試圖通過可視化進行自動數據分析的人,無論是為自己還是為客戶。這本高度定制的指南適合那些對分析有一定了解但不知如何在商業智慧領域中運用的開發者。
您將學到什麼
- 創建一個支持自助報告的商業智慧環境
- 理解 SQL 和數據聚合
- 開發適合分析報告的數據模型
- 將數據倉庫連接到分析報告工具
- 理解使用 D3.js、R、Tableau、QlikView 和 Python 的可視化背後的具體好處
- 瞭解使用商業智慧工具開發各種報告和應用的最佳實踐
- 探索數據分析領域,利用我們將用於報告的所有數據
詳細內容
商業智慧(BI)是企業革命的核心。每個人都希望最小化損失並最大化利潤。得益於大數據和改進的數據分析方法,數據分析師和數據科學家越來越多地使用數據來做出明智的決策。僅僅知道如何分析數據是不夠的,您需要開始思考如何將數據作為商業資產,然後進行正確的分析以建立有洞察力的商業智慧解決方案。高效的商業智慧旨在實現數據的自動化,以便於報告和分析。
通過本書,您將培養沿著正確方向思考的能力,並根據業務需求使用多種工具進行分析。我們首先為您準備數據分析,然後教您一系列技術,從各種數據庫中提取重要信息,以優化您的業務。
本書旨在提供一個完整的端到端解決方案,幫助您做出明智的商業決策,並為任何公司提供高效和自動化的商業智慧解決方案。
這是一本完整的指南,幫助您利用市場上最強大的工具如 D3.js、R、Tableau、QlikView 和 Python 實施商業智慧。
風格與方法
本書充滿了現實世界的例子,這本務實的指南幫助您整理數據並為您的業務做出明智的決策。我們涵蓋了商業和數據分析的視角,將理論與實踐相結合,使您將數據視為商業資產。