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8 Videos (1h 16m)
    • Lecture 44 Understanding the payroll data to use

      7:12
    • Lecture 45 Data Modelling 101

      10:46
    • Lecture 46 Build a Pivot table over the payroll data

      18:42
    • Lecture 47 Introducing RowNo(),Above(),RangeSum() functions

      10:42
    • Lecture 48 Use the RowNo(),Above(),RangeSum() functions in a Pareto analysis

      9:49
    • Lecture 49 Convert the Pareto pivot table to chart

      5:14
    • Lecture 50 Observe combo chart to scatter chart conversion behaviour

      5:34
    • Lecture 51 Wrap it all up into an informative data visualization dashboard

      7:59

About This Class

I recommend that you complete QlikSense Class 6 - Analyzing On-Line Customer Sales Performance before taking this class.

Our start-up has staff and are paid wages and benefits.

These lectures will teach you how to build a payroll analysis App and as we build the app you will also learn how to ...

  1. Understand QlikSense data models (Star Schema)
  2. Obfuscation of sensitive data from display
  3. More on functions such as RowNo(), RangeSum(), Above() 
  4. Build a Pareto (80/20) analysis chart
  5. Convert pivot tables to charts

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Paul Scotchford

Business Intelligence and Analytics developer

I have over 12 years experience as a Business Intelligence and Analytics developer specialising in both the Microsoft and Qlik technology environment.

Since 2012 I have been developing QlikView and in late 2014 I discovered QlikSense, my QlikView skills were immediately transferable to QlikSense too.

I have also been developing with SQL since the late 90's and have extensive experience in data extraction, modelling and analytics directly from ERP and Data Warehouse structures.

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