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Introduction to R for Business Intelligence : Profit Optimization Using Data Mining, Data Analysis, and Business Intelligence

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Title: Introduction to R for Business Intelligence : Profit Optimization Using Data Mining, Data Analysis, and Business Intelligence
Description: Learn how to leverage the power of R for Business IntelligenceKey Features[•] Use this easy-to-follow guide to leverage the power of R analytics and make your business data more insightful.[•] This highly practical guide teaches you how to develop dashboards that help you make informed decisions using R.[•] Learn the A to Z of working with data for Business Intelligence with the help of this comprehensive guide.Book DescriptionExplore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance. In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards. After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence. What you will learn[•] Extract, clean, and transform data[•] Validate the quality of the data and variables in datasets[•] Learn exploratory data analysis[•] Build regression models[•] Implement popular data-mining algorithms[•] Visualize results using popular graphs[•] Publish the results as a dashboard through Interactive Web Application frameworksWho this book is forThis book is for data analysts, business analysts, data science professionals or anyone who wants to learn analytic approaches to business problems. Basic familiarity with R is expected.
Authors: Jay Gendron
Resource Type: eBook.
Subjects: R (Computer program language), Business planning--Data processing
Categories: COMPUTERS / Data Science / Data Visualization, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Modeling & Design
Database: eBook Collection (EBSCOhost)
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  Data: Learn how to leverage the power of R for Business IntelligenceKey Features[•] Use this easy-to-follow guide to leverage the power of R analytics and make your business data more insightful.[•] This highly practical guide teaches you how to develop dashboards that help you make informed decisions using R.[•] Learn the A to Z of working with data for Business Intelligence with the help of this comprehensive guide.Book DescriptionExplore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance. In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards. After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence. What you will learn[•] Extract, clean, and transform data[•] Validate the quality of the data and variables in datasets[•] Learn exploratory data analysis[•] Build regression models[•] Implement popular data-mining algorithms[•] Visualize results using popular graphs[•] Publish the results as a dashboard through Interactive Web Application frameworksWho this book is forThis book is for data analysts, business analysts, data science professionals or anyone who wants to learn analytic approaches to business problems. Basic familiarity with R is expected.
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      – Code: 658.4012
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: R (Computer program language)
        Type: general
      – SubjectFull: Business planning--Data processing
        Type: general
    Titles:
      – TitleFull: Introduction to R for Business Intelligence : Profit Optimization Using Data Mining, Data Analysis, and Business Intelligence
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            NameFull: Jay Gendron
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            – D: 01
              M: 01
              Type: published
              Y: 2016
            – D: 03
              M: 10
              Type: profile
              Y: 2016
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              Value: 9781785280252
            – Type: isbn-electronic
              Value: 9781785286513
          Titles:
            – TitleFull: Introduction to R for Business Intelligence : Profit Optimization Using Data Mining, Data Analysis, and Business Intelligence
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