Time to write another philosophical post that will upset some people and will bore some others to death. Hell yeah. But don’t worry, we’ll also have fun stuff, so bear with me. Here’s my story: In the last few months, I’ve been working a lot more with Qlik Sense and, even though I’ve learned to love it, I still have some doubts about its adoption and the future of the Qlik platform in general.
A few days ago, I saw a post by Qlik Luminary Aaron Couron where he asked the world a simple question: QlikView or Qlik Sense? What’s your preference? While I was reading the answers, I remembered many treads I’ve encountered in QlikCommunity and some good discussions we’ve had in our Qlik Dev Group events, but it specially reminded me of the comments I got after tweeting these images not so long ago:
Some people favored one over the other, some argued that both should coexist and some others simply went nuts. But regardless of which side you choose, it’s amazing to see the number and variety of opinions in this regard. In a way, I find it interesting how we’re still asking ourselves if this town is big enough for two Qliks. After all, Qlik Sense was released almost three years ago, which in technology standards is a lot of time!
Don’t forget to check Aaron’s full post here. Lots of cool stuff!
Like many of you, I’ve grown quite fond of Qlik Sense as well. It has many advantages like a flexible security schema, more competitive prices and amazing governability in terms of its users, data, apps, metrics and pretty much everything else. However, I don’t think I’m ready to get rid of QlikView just yet.
In the meantime, I also started questioning myself about how the users, developers and even our business model have changed recently. Even though I agree with Stephen Few regarding the soundness of Gartner’s Magic Quadrant (witness the mega-burn here), that’s definitely a message we should not ignore. Continue reading
Some people build QlikView dashboards to review the financial outcomes of their companies. Others use it to monitor their everyday operations in plants and warehouses. There are individuals who even create applications to analyze fun stuff like the Olympic Games or TV Series. In my opinion, QlikView should be exclusively used to answer humanity’s greatest inquiries and analyze relevant topics that affect our lives and our future; important things such as Pokémon 😛
When I was a kid, I used to play Pokémon games all the time. Blue, Yellow, Silver, Sapphire, Stadium, Snap, Pinball, Trading Card Game, you name it. And well, since everyone’s going a little crazy about Pokémon Go these days, I decided to create a QlikView document based on the original 151 Pokémon in the first generation (speaking about mixing good stuff).
Today’s post isn’t exactly a tutorial. I’ll just share the QVW I created and highlight some interesting features I think you can use to improve your own applications. Even if you’re not exactly the biggest Pokémon fan, be sure to check it out. I’m sure you’ll find something that strikes your attention! Continue reading
What happens when you mix QlikView with the best football leagues in the globe? In today’s post, I’ll share a little app I created to analyze data about my favorite soccer tournaments like the English Premier League, the German Bundesliga or the Serie A from Italy. So let’s take a break of business oriented dashboards and spend some time reviewing the wins, losses and goals of the last few years.
If you’re a football fan, you’ll stay for the discoveries. If you’re a QlikView enthusiast, you’ll stay for the tips regarding scripting and visualization. If you’re not neither of those, you’ll visit our Random page in order to see funny videos like a pug playing ‘Enter Sandman’ from Metallica in the drums.
As usual, you can download all the related files here. Ready? Let’s get started!
The first challenge in this endeavor was to find a good data source. However, a static XLS file wouldn’t do the trick. Since we’re in the middle of the season and there are matches every week, we need a way to update our file constantly. Even though it’s not the most common way to extract tables, don’t forget that QlikView can retrieve records from external websites (Data from Files > Web Files).
After browsing for a while, I found a great sports portal called SkySports where we could get all the information we needed. In order to load it to our model (and since I didn’t want to copy and paste the same code dozens of times), I relied on one of our oldest friends: the FOR… NEXT loop. The structure is not very complex, so I’ll let the code speak for itself: Continue reading
It’s been a while since the last time I shared a post here, but believe me, I have a great excuse! Over the last few weeks, I’ve been working very hard with the guys from Packt Publishing on a book that covers two of my favorite topics: dashboards and data visualization. So, without further ado, I gladly present you “Creating Stunning Dashboards with QlikView”.
This tome guides you through the process of creating effective and engaging dashboards that deliver tangible value to the business. Throughout its chapters, you will learn how to apply some of the best practices in the field of data visualization, create a robust navigation schema, work with colors, choose the best chart types for each scenario and many other things that will help you create useful applications that will uncover all the stories behind your data.
Though you might think that this is the average “do this, do that” handbook, this publication was written much like my blog; it contains technical stuff, best practices, opinions, tutorials and even some humor. However, this time I had an amazing group of people that helped me out: Larissa Pinto, Priyanka Mehta, Shruti Iyer and Parag Topre from Packt; Hakan Hansson, Speros Kokenes, Mark O’Donovan and Karl Pover in charge of the technical review and QlikView All-Star Bill Lay who was kind enough to write the foreword.
If you want to know more about this book, go to its section in this site (you didn’t know there were other pages in this blog right? Surprise!!!). Although Amazon usually delivers faster, I prefer Packt because you have immediate access to the digital version in multiple formats*
I really like the end result, and I hope you find it useful and have a good time reading it, so be sure to check it out. Also, don’t forget to share your thoughts about it, I’ll be looking forward to hearing your feedback!
Hope to see you around,
In today’s post, I want to share a simple / not incredibly useful app that I use very often as a QlikView trainer. In my courses, I like to guide most of the exercises step by step and give tips and tricks as we encounter new functions or objects. However, some exercises have better results when working alone, especially when working with charts. For example, when I present themes, containers, tabs and auto-minimize I like to give the students a few minutes to decide the way their applications would look like.
In the beginning, I used to tell them the approximate time that we were going to spend on the exercise and the expected finish hour. As you can imagine, nobody kept an eye on the clock and we always had delays, so one day I created this application. [Download]
The idea is to store the expected time for the exercise in a variable using an input box and after clicking START, the gauge in the right would represent the remaining time using the function now(). When the clock hits the “Red Zone” (another variable), the gauge turns red. Continue reading