Confident QlikView navigation - You will learn to move around the QlikView interface with confidence, use the menu and core tools efficiently, and find the functions you need for everyday data analysis much faster.
Stronger BI data modeling - You will understand how to use QlikView in business analytics and prepare data for analysis, so you can build consistent, practical models that support better business decisions.
Choosing the right visuals - You will learn when to use bar, line, pie and scatter charts, as well as tables, so you can present trends, comparisons and relationships in data in a clear, useful way.
Presenting data on maps - You will master how to display information on maps, making geographic data easier to understand and helping you highlight differences, patterns and performance across locations.
Building practical variables - You will learn how to create variables and define their fields properly, giving you more flexible analyses, better control over calculations and cleaner report logic in QlikView.
Comparative analysis with Set Analysis - You will practice Set Analysis with functions such as Sum, Max, Min, Avg and Count, so you can build your own comparative analyses and filter data sets with far greater precision.
Designing better dashboards - You will gain practical guidance for building dashboards and business analyses, helping you create clear views that let users understand results quickly and act on insights faster.
Easy export of results - You will learn how to export objects and analysis results to Excel, PDF and JPG, making it easier for you to share reports, archive materials and present your work to others.
In an organizational setting, business analytics supports the practical use of specialist knowledge in decision-making. This section explains how analytical work in a company turns domain expertise into structured insights that can be shared, interpreted, and applied in operations.
QlikView is positioned here as a business intelligence tool used to analyze and present data in an interactive form. The section outlines its core characteristics and advantages, creating a common framework for later work with navigation, objects, calculations, and dashboards.
Getting around the QlikView environment requires understanding both the menu structure and the available tools. Participants learn how to navigate the interface efficiently, move between key areas of work, and use built-in options needed for everyday analytical tasks.
Charts and selection objects are matched to different analytical purposes in QlikView. The section works with Bar, Combo, Line, Pie, and Scatter charts, as well as ListBox, Text Box, Gauge, Table, Straight Table, and Pivot Table to present data in an appropriate form.
Geographical context adds another layer to analysis by linking data with location. This section focuses on presenting information on maps so participants can display spatial differences, identify regional patterns, and support decisions with visuals tied to territory and distribution.
Variables help centralize logic and make expressions easier to reuse and maintain. Participants learn when creating a variable is justified and how to manage its Name, Definition, Description, and Tags so that calculations remain clear within larger analytical applications.
Exercises are used to consolidate analytical work in QlikView through realistic tasks rather than isolated examples. Participants interpret data, select suitable techniques, and verify results so that chart design, calculations, and business conclusions form one coherent process.
Set Analysis in QlikView enables comparative calculations that go beyond current selections. The section explains how to define a set and combine it with aggregation functions such as Sum, Max, Min, Avg, and Count to build controlled analytical measures.
When building dashboards and business analyses, small design and configuration choices strongly affect readability and maintenance. This part gathers practical tools and working tips that help organize views, streamline development, and make analytical applications easier to use.
Delivering results outside QlikView focuses on exporting objects to formats used in reporting and circulation. Participants work with Excel, PDF, and JPG outputs, learning how to choose a format that fits further analysis, formal presentation, or quick visual sharing.
Basic data literacy - You should be comfortable with core data concepts such as records, columns, filters and aggregation, so you can follow the exercises smoothly throughout the training.
Computer proficiency - You should be able to use a computer and office applications confidently, work with files and navigate software interfaces without needing extra technical assistance.
Business analysis basics - You should understand the basics of business analysis and know what reports, KPIs and result comparisons are used for, so the training examples make immediate sense.
Working with tables and charts - You should have basic experience reading tables and charts, so you can understand how data is presented and analyze the visualizations prepared during the course.
