Data Discovery in QlikView – Part 2 – Easier Data Integration and Modeling

Qlik Sense and QlikView are two data discovery tools that make it easy to go from raw data to data visualization.  This in contrast to Tableau that is limited to combining data tables with joins.  If your data source is, for example, an OLTP system that contains a long list of table with complex relationships, you will probably have to invest time to transform and model the data in another tool before you can use Tableau for data discovery.

The couple times I tried to implement Tableau for a company, I had to work all night in SQL Server Express to create a data model that made Tableau easy to use.  It was this experience that made me realize that data discovery does not depend on great data visualization alone.  It also depends on being able to easily extract, transform, and model data.

Continue reading “Data Discovery in QlikView – Part 2 – Easier Data Integration and Modeling”

QlikView Grid System Tool

When we work with data visualization in Qlik Sense, we work within a grid system.  Even though Qlik Sense gets some slack because it does not allow you the freedom to escape the grid, using a grid system a good practice to follow.  We should even apply the same practice when we design QlikView applications. Continue reading “QlikView Grid System Tool”

Data Discovery in QlikView – Part 1 – Agile Implementation

Lately, consultancies with little QlikView experience have asked me to review the feasibility of using QlikView for a variety of projects.  It was obvious after only a quick glance of the projects’ goals that they did not take into consideration the strengths and necessities of QlikView.  I had come to believe people understood the concept of data discovery and that we were past the idea that QlikView was a just a quick reporting tool, but I was mistaken.

Many still believe QlikView only stands for fast implementation time, ease of use and a visual display.   They try to adapt what they understand of BI to what they’ve heard about QlikView. Of course, you can’t blame them because we humans naturally interpret new information based on past experiences.

So, I’ve decided to write a series of blog posts that explain the strengths of QlikView so that we can understand how to use it effectively in our organizations.  I will then conclude the series by detailing the reasons why QlikView projects sometimes go awry.  We’ll add an extra part in each post about how Qlik Sense may or may not change how we use QlikView.

First, let’s explain the concept of data discovery and how we should go about implementing data discovery projects. Continue reading “Data Discovery in QlikView – Part 1 – Agile Implementation”

Learning QlikView Data Visualization – SVG Map Extension Download Update

Since Learning QlikView Data Visualization was published, the url to download the SVG map extension created by Brian Munz and highlighted in chapter 7 has changed to https://github.com/brianwmunz/svgReader-QV11.

If you have any questions about the content of the book, don’t hesitate to ask.

See you around,

Karl

Command line statement from QV Publisher

Steve Dark has recently created askQV.com where you can search several QlikView blogs and the QlikCommunity.  It’s a great resource and I congratulate Steve for his initiative.

It’s not uncommon that I found a solution to a problem only to forget it and then not know where to find it again when I need it in the future.  How to run a command line statement from QV Publisher is one of those infrequent questions that has no clear solution in QlikCommunity, and after performing a search on askQV.com, apparently nobody has blogged about it either.

If you have QlikView Publisher and you go to the System (1) tab of the QlikView Management Console there will be a link to Supporting Tasks (2).  If you then click on External Programs (3) you can then create a command line statement.

ExternalProgramQVPublisher

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Quick Set Analysis Tip – Selecting Current Selections

Wow! I think it’s about time to post something new since the post about Packt has been the latest post for two months now.  I’ve been quite busy lately trying to launch new initiatives in the company and I’ve recently decided to write a follow-up book about more advanced QlikView data visualization and analysis.  If you have any requests on what you would like to see in this new book, please send me your comments

As I start investigating the topics and writing, I occasionally stumble upon tips that I’ve forgotten about.  Have you ever done something like the following to respect the current selection of a field in set analysis while ignoring the selections in other fields?

=num(sum({1<[MasterCalendar Year]={$(=concat([MasterCalendar Year],’,’))}>} Amount),’#,##0′)

Continue reading “Quick Set Analysis Tip – Selecting Current Selections”

Great Opportunity to Stock Up on Qlik Books from Packt Publishing

Packt Publishing is celebrating its 2000th title, so if you were waiting for a reason to buy all those Qlik books from Packt Publishing, here’s a great opportunity to buy one and get another one free.

Of course, there’s my book Learning QlikView Data Visualization and I’m going to take this opportunity to buy QlikView Server and Publisher and QlikView Scripting, which are the two Qlik books I’m missing from my library.  If you’re one of the few that doesn’t have the now classic QlikView 11 for Developers or QlikView Developers Cookbook then this is an offer you shouldn’t let go by.

A couple years ago there were no books about Qlik.  I don’t know the story behind why Packt decided to publish all these QlikView books, but thanks to them and a couple other publishers Qlik now has a growing list of books to choose from.  I hope this is just the start.

Act fast though.  The offer is good until March 26th.

Karl