QlikView your business : an expert guide to business discovery with QlikView and Qlik Sense / Oleg Troyansky, Tammy Gibson, Charlie Leichtweis.

Format:

Book

Author/Creator:

Troyansky, Oleg, author.

Gibson, Tammy, author.

Leichtweis, Charlie, author.

Language:

English

Subjects (All):

Management information systems.

Business intelligence--Computer programs.

Business intelligence.

Physical Description:

1 online resource (1367 p.)

Place of Publication:

Indianapolis, Indiana : John Wiley & Sons, 2015.

Language Note:

English

Summary:

Step-by-step guide to using QlikView and Qlik Sense to unlock the meaning in your data QlikView Your Business shows you how to build dynamic, best-of-breed data visualizations using the QlikView toolset. This full-color, step-by-step guide walks you through the basics of using the tools, then dives deep to provide expert advice on complex implementation techniques and solutions. Coverage includes both QlikView and Qlik Sense, with a focus on the process of developing analytic applications, with scripting and visualization techniques for analyzing sales, profitability, and inventory. You will l

Contents:

Cover; I: Getting Started; Chapter 1: The Needs and Challenges of Business Intelligence and Analytics; The Case for Business Intelligence; Common Challenges of Business Analytics; How Successful Businesses Use Business Intelligence; The Business Scenario Used in the Book; Chapter 2: Why Use Qlik for Data Discovery and Analytics?; The Evolution of BI; QlikView 11 Overview; Qlik Sense Overview; II: Learning the Core Techniques: Sales Analysis; Chapter 3: Defining a Business Scenario for Sales Analysis; "What Do You Mean When You Say Sales?"; What Data Is Needed

Advanced Sales Analysis Makes the Data Visible and AvailableChapter 4: Visualizing Sales Analysis in QlikView; Preparing the Environment and Getting Ready; List Boxes, Text Objects, and Other Sheet Objects; Developing Simple Charts in QlikView; First Round of Improvements; Chapter 5: Data Modeling for Sales Analysis; Data Modeling Basics; Chapter 6: Developing a Data Load Script for Sales Analysis; Load Script and Script Editor; Resolving Simple Challenges in Data Load; Transforming the Data Model; III: Expanding Your Skill Set: Profitability Analysis

Chapter 7: Defining a Business Scenario for Profitability AnalysisThe Profit and Loss Statement; The Direct Variable Profitability (DVP) Model; Deep Dive Example; Use of Business Intelligence Tools Makes the Data Visible and Available; Chapter 8: Visualizing Profitability Analysis in QlikView; Simple Visualizations for Profitability Analysis; Revisiting Simple Visualization Objects; Learning Advanced Visualizations; Chapter 9: Data Modeling for Profitability Analysis; How QlikView Stores Data; Modeling Multiple Transaction Sources; Working With Dimensions

Chapter 10: Developing a Data Load Script for Profitability AnalysisCreating a QVD Data Layer; Building the Data Model for Profitability Analysis; A Round of Improvements; Explaining the Multi-Tier Data Architecture; IV: Mastering Advanced Techniques: Inventory Analysis; Chapter 11: Defining a Business Scenario for Inventory Analysis; What Is Inventory-Asset or Liability?; Factors to Consider When Measuring Inventory; The Definition of Inventory Analysis; The Benefits of Advanced Inventory Analysis; Chapter 12: Visualizing Inventory Analysis in QlikView

Developing the Key Measures for Inventory AnalysisEnhancing Visual Analysis with Advanced Aggregation; Does It Get Any More Advanced with Advanced Aggregation and Advanced Set Analysis?; Comparative Analysis Using Alternate States; Getting Advanced with Straight Tables; Advanced Presentation Features-Buttons, Actions, and Triggers; Chapter 13: Data Modeling for Inventory Analysis; Calculating Running Balances; The Concatenated Fact Table; Advanced Date Handling; Chapter 14: Developing a Data Load Script for Inventory Analysis; Review of the Business Requirements and the Data Sources

Transforming Inventory Data

Notes:

Description based upon print version of record.

Description based on print version record.

ISBN:

9781119182375

1119182379

9781118949573

1118949579

9781118949580

1118949587