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By reading the Product Innovation blog, you will learn about what's new across all of the products in our growing Qlik product portfolio.
The Support Updates blog delivers important and useful Qlik Support information about end-of-product support, new service releases, and general support topics.
This blog was created for professors and students using Qlik within academia.
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The Qlik Digest is your essential monthly low-down of the need-to-know product updates, events, and resources from Qlik.
The Qlik Learning blog offers information about the latest updates to our courses and programs, as well as insights from the Qlik Learning team.
At an International conference on Data Science and Analytics ( ICDSA '17) organised by Department of Computer Science of Rathinam College, Coimbatore, Dr. Siddhartha Ghosh, Kandula Neha and Ballari Saha from Vidya Jyothi Institute of Technology, Hyderabad presented a paper of 'Data Analytics in Academics' explaining the challenges and issues faced by the academic community in analytics. This paper was among the final 120 papers selected from a total of 215 papers received by the organisers. Papers from the conference are being published in the ICT Academy, Bonfring and IJSER Journal. The publication has been undertaken by Coimbatore Institute of Information Technology, ISBN 978-1-941505-70-0
The researchers presented the various tools and technologies used most commonly in academics. They made some sample analysis using Qlik Sense of data using in educational institutions such as placement data, test results,faculty data and visualised their findings with the help of various charts and graphs in Qlik Sense. They also demonstrated how associations can reveal connections between various data sets thus demonstrating the potency of the patented Qlik Associative Indexing technology.
In the words of the researchers, following are their concluding remarks- This paper gives an overview of the Qlik Sense and its application the field of academics. It explores data deeply and shares insights instantly and reveal connections in the data to see opportunities visualized through charts, bar graphs, pie charts, histograms etc. The learning and understanding to look at data with new visualization options enriched us with data analytics in modern world and its application in academics.
Since the introduction of Data Manager (the Data manager is where you visually add and manage data from your own data sources, or from Qlik DataMarket, so that you can use it in your app) Qlik has been constantly improving the set of features that makes the task of loading data an enjoyable part of the analysis process.
One of the most recent (and genius) additions to Data Manager is the “Summary card”

Summary data profiling card is a visual representation of your data. It contains a set of elements, values and charts, that let you better understand each field in your data set.
Summary card has been designed to help you anticipate and prevent data quality issues before loading data into Qlik Sense. The Summary card content adapts to the field selected, so depending on the column data type, measure, dimension, or time it will present you with different insights.
For measures the following information is provided

To see and use the Summary card by yourself you have to get to Data manager, In Data manager, select a table and click the pencil icon, then select a table field and the Summary card appears. Or just check the animation below:

Enjoy it!
Arturo (@arturoqv)
Qlik Sense November 2017 is now available from our Customer Download Site. You can also try out many of the new capabilities in Qlik Sense Cloud where you can use Qlik Sense Cloud Basic for free or try Qlik Sense Cloud Business with a free 30 day trial.
Watch this brief highlights video to learn more:
You will find many new features and capabilities in this release including:
For Business Users
For App Builders
For Administrators
For Developers
Qlik Connectors

For several months now myself along with colleagues from the Academic Program and our industry partners Accenture, have been working to build a Data Challenge; a Hackathon if you will but with a focus on students who aren't specifically from Computer Science backgrounds.
In conjuncture with the University of Bath, we arranged to run a two day session looking to provide students skills on key topics in Data Analytics and get hands on with some real world data. Invitations to the event were sent to the Business Analytics and MBA students, with around 40 students in attendance with teams of 3-4.
What was the challenge?
Participants were to use data provided by Qlik from the moviedatabase.com, along with the wealth of resources and data available on the internet around Netflix's catalogue, to design a schedule of releases for next year based on what the students decided would be popular films from the data. Finally they were to come up with an original content idea as this is where Netflix make the most margin from their investments.
Day 1
The first day consisted of introductions from Qlik and Accenture, covering topics around industry use of BI tools and techniques, customer case studies and finally a workshop using Qlik Sense. The workshop was designed to show participants features of Qlik including;
- Data loading
- Data modelling
- Data visualisation.
Day 2
Day 2 was the main day, a 6 hour data challenge to bring together the students new knowledge in Qlik Sense and use the movie database and other resources available to them online to answer the brief. The students were scored out of 10 on 5 different areas;
1. Quality of Dashboard
2. Data Model structure
3. Presentation structure and content
4. Has the team answered the question?
5. Original Netflix content idea
Outcome
It was an opportunity for everyone involved to try something that we hadn't explored before. The University of Bath was for them a chance to improve students knowledge of data analytics, team work and the real world data challenges.
Accenture were provided an opportunity to show themselves as a major future player in the analytics space and hopefully to persuade some students to come and work with them.
For Qlik, a chance to help students in their career paths and for me to understand the complexities in organising a data challenge and ultimately to provide a group of students a small insight the future data economy and improve their data literacy.
A huge thanks must go out to those that helped me organise this, Deniz Kog, Aylar Charyyarova and Jian Yi Oh from Accenture. Martin Royds from Qlik and finally Gunes Erdogen from The University of Bath, who made this event possible.
Pass/fail results are typically sent 8-10 weeks after taking a beta certification exam. I'm sure many out there wonder why!
Here's what happens behind the scenes during this phase of the exam development process:
1. After the beta exam period ends, we gather all the result data and send it to our test development partner, Alpine Testing Solutions.
2. Alpine calculates all kinds of statistics on the result data and identifies which items are performing well and which are not. Poorly performing items can be too easy (>90% get it right), too hard (<10% get it right) or have other warnings which indicate it is not measuring what we expect. Then they recommend which items to "Keep" or "Delete"
3. Qlik then reviews the recommendations and every single comment entered by beta testers, which may indicate something is off or the item is unclear. Final Keep/Delete decisions are made by the Certification Program Manager, which are sent back to Alpine.
4. Using the kept items, Alpine assembles a new form and statistically equates it to the previous form. This is needed to assure congruence between releases of the certification exams.
5. Qlik receives the new form (which is a list of items to go on the operational form), and creates an exam specification to send to Pearson VUE.
6. Pearson VUE uses the exam specification to build the operational form, which then goes through a few QA and review cycles between Qlik and Pearson VUE. We check the exam many times to ensure there are no errors in it!
7. After the operational form is finalized, it is published and the exam is ready for delivery.
8. Then we take the operational form and use it to score the beta results.
And that, my friends, is why it takes so long to get your beta results! ![]()
Thanks to those who participated in taking a beta exam, and your continued patience is appreciated.
Karen Origlio
Sr. Certification Program Manager @ Qlik
It is not uncommon that users want specific products or customers to be displayed in specific colors. The most obvious way to do this is to change the colors in the chart properties. This is in fact quite easy if you use the copy and paste functions found when you right-click a color button. Just copy one button and paste on another, and you have moved the color.

This way you can assign which color is to be used for the different values of the field. However, a prerequisite for this to work is that the order of the field values doesn’t change.
A more robust way is to use color functions. Usually, you want to set the color of a bar, line or bubble and this is done by using the “Background Color” on the Expression tab:

By the way – don’t use Visual cues. This feature is old and not very versatile. Use color functions as described here instead.
In the picture above, both the product ID and the color are hard-coded in the expression. However, if you want to define colors for many products, the if-function will not be manageable. Then it is better to store this information in a table – either in the database or in an Excel sheet or as an inline statement in a scriptlet that is included in the script. Hence,


This way it is easy to define which color specific products, customers, or other dimensions should get.
Which colors to use? Oh, that is a completely different topic:

Recently, the Academic Program has seen a good number of University enrollments from the South of India particularly in Bangalore and Coimbatore. Some of the top ranked higher educational institutions in the country are also from the South of India. In Bangalore, the academic program has a footprint in educational institutions such as BMSIT, Christ University, Jain University, SIBM Bangalore.
Coimbatore city which is one of the major hubs of higher education in the South has a presence of more than 50 institutions from engineering, management, medicine, pharmacy, arts and humanities faculties. The academic program has built its engagement with some of the well known Universities such as Hindusthan College of Engineering and Technology, Karpagam, Sri Krishna College of Technology, SREC, Kumaraguru College of Technology. Students and Professors from these institutions have enrolled for the program and continue to develop their data analytics skills through the resources offered under the program and pursue the path of data literacy.
We are pleased to announce the release of Qlik Sense June 2017!
With releases five times per year, it could be difficult to stay up to date on what’s new. The document attached to this post will help you keep up to date. You will find a look back at some of the key features released over the past 12 months as well as a detailed outline of the the most current release.
But first.... check out this overview video:
Some of the most exciting enhancements in this release include:
WHAT YOU SHOULD DO NEXT:
Hey Guys happy Tuesday! Today I will continue my series on some of my many pleasant surprises when first learning Qlik. My last pleasant surprise covered how Qlik creates data models without any complex data modeling skills and how the use of its metadata was a bit different from what I was use to - you can learn more about it here: My Pleasant Surprises Learning Qlik - a multi-part series. In this edition of the Qlik Design blog I cover one of our most important differentiators - the Qlik Associative Difference. By now you should know of my love for creating short succinct videos, and I personally feel they are more fun then reading walls of text - so in this entry I have embedded a video presentation and demonstration to show you Qlik's Associative Difference - thanks for watching,
Try the app here:
https://webapps.qlik.com/associative-difference/index.html
NOTE: To increase resolution or size of the video, select the YouTube logo at the bottom right of the player. You will be brought directly to YouTube where you can increase the resolution and size of the player window. Look for the 'settings' gears icon in the lower right of the player once at YouTube. (video and sample files)
For more videos that can help you get started with Qlik Sense:
Hey Guys - welcome to this week's Tuesday edition of the Qlik Design Blog. In this post we are excited to announce the availability of Qlik Sense November 2017. It has only been 2 months since our last release demonstrating our commitment to continuous and iterative improvements with our products. In this video I quickly breakdown what’s in the Qlik Sense November 2017 release. Included are some various chart improvements, new connectors and usability improvements to visual data preparation and the design interface. Let me know what you think, and leave a question or comment below.
Other videos for your viewing pleasure:
NOTE: To increase resolution or size of the video, select the YouTube logo at the bottom right of the player. You will be brought directly to YouTube where you can increase the resolution and size of the player window. Look for the 'settings' gears icon in the lower right of the player once at YouTube.
Try Qlik Sense now: Try or Buy
Can't see the video? Download the .mp4 to watch on your computer or mobile device.
Regards,
![]()
Hey guys, happy Tuesday! I'm pleased to be back in this edition of the Qlik Design Blog to introduce you to the September 2017 release of Qlik Sense....right off the heels of hurricane Irma I might add. Florida (my home state) and its surrounding neighbors have been hit hard by this storm and I would like to first express my deepest sympathy for those that were affected by Irma's wrath. We will recover, as we always have, and by working together and supporting one another, we will be back on our feet in no time...oh and hurricane Maria, you better watch yourself Missy!) Now on to the show!
As we have previously mentioned, Qlik will be releasing software 5 times a year. Which equates to a new release about every 10 weeks or so. (You can learn more about our continuous release cycle by checking out this blog here: Qlik Sense® will release 5 times a year!)
Rather than list the new feature highlights in this blog, I created a brief video to cover and demonstrate them. You can always check out the Qlik Sense release notes on the Qlik Help site as well as download the attach data sheet to learn more. You can also try these features right now by logging in to the Qlik Sense Cloud or by downloading a free version of Qlik Sense Desktop: Download Free Data Visualization Development Platform.
Now remember, each release will vary in capabilities and features, with some releases possibly having "more" in certain areas than others. It is important to note that the releases will not only cover Qlik Sense specifics, but other product areas such as Qlik NPrinting, Qlik GeoAnalytics, Qlik Sense Mobile, Qlik DataMarket, data connectors, API enhancements and new services and procedures. For example, with the September 2017 release we are also introducing a new Extension Certification Pilot program to allow extension authors to submit their extensions for review, to be certified and supported by the author for use within the Qlik platform. Stay tuned for more information on this pilot program to learn how you can submit your extension for certification.
NOTE - Qlik Sense Mobile: The app is available on the iOS VPP app store (Apple’s enterprise app store) this week.
This is a huge milestone for Qlik as it brings the power of our Associative Technology to the iPad, online AND offline. Customers and partners need to have signed up for Apple’s enterprise developer program to get access to the app. Once they are members of enterprise developer program, they can download the app from https://vpp.itunes.apple.com. Most medium and large business have this relationship with Apple and for those who do not, we are bringing the app to the iOS public app store in the near future, so hold tight.
Enjoy!
Regards,
Mike Tarallo
Qlik
Additional Resources:
* To learn more about extensions - check out these videos:
* Did you miss what's new in our Qlik Sense June 2017 release? - Check it out here: Qlik Sense 2017 Releases - What's New
* More Videos
NOTE: To increase resolution or size of the video, select the YouTube logo at the bottom right of the player. You will be brought directly to YouTube where you can increase the resolution and size of the player window. Look for the 'settings' gears icon in the lower right of the player once at YouTube.
Can't see the video?
Download the .mp4 and watch from your computer or mobile device

The Academic Program was onsite at Saint Joseph's University in Philadelphia to present Qlik Sense to students from the BIT (Business Information and Technology) Society. The students consisted of Juniors and Seniors studying Business Analytics who are interested in learning more about Qlik Sense capabilities and everything the Academic Program has to offer.
The students were very impressed by Qlik's The Associative Differenceand they were eager to join the program because they indicated Qlik Sense looked more robust than other tools they have seen before.
The Qlik presenters included former Saint Joseph's Alumni and members of the Academic Program. The Qlik team attended several presentations that day including courses whose professors and students have already joined the program and are utilizing Qlik Sense.
If you are interested in hosting a Qlik presentation please email academicprogram@qlik.com
Dear Qlik Community Members,
If you are planning to take a QlikView or Qlik Sense Certification Exam, there are instructions and guidance for how to prepare on the web pages.
Want to know the topics? Study the "Exam Domain Areas" - these are the topics used to write the exam questions.
These are EXPERT level exams, and hands-on experience in a production environment is usually needed to pass. The primary purpose of the exams is to validate the skills and knowledge of Qlik partners, so they can install, configure, develop, maintain and support Qlik products in an enterprise environment. Please know, using the QCC assessments are a good start to your learning, but these questions DO NOT represent the certification exam. There are FREE Certification Practice questions on the web pages under "Recommended Preparation Resources".
I'd like to remind you that discussing ANY Certification Exam content is a violation of the Qlik Certification Examination Access and Use Agreement, specifically paragraph 5, "Confidential Information and Ownership". If you need a refresher on the agreement accepted before you can register for an exam, here's a link: http://www.pearsonvue.com/qlikview/qlikview_nda.pdf
The exams are challenging, which gives the certifications value. If members discuss exam content, you are effectively reducing the value of your certification. Please keep ALL exam information confidential, or you risk having your certification revoked.
Thank you,
Karen Origlio
Certification Program Manager
Qlik NPrinting September 2017 has been released to the customer download site. This release includes several key capabilities as described below.
Customer can download the latest versions of our software on the Customer Download Page.
Student Supply Employer Demand
According to a report published by the Business-Higher Education Forum BHEF, “…by 2021, 69% of employers expect candidates with DSA skills to get preference for jobs in their organizations. Yet only 23% of college and university leaders say their graduates will have those skills.” It’s important to understand that this gap does not just apply to data scientists in training looking for jobs in Silicon Valley. We are all living in a big data world, and Data Science and Analytical skills will soon be fundamental at every level of the workforce from entry-level to CEO.
To help solve this skills gap the Academic Program provides FREE analytics training available in the Qlik Continuous Classroom and FREE Data Analytics Curriculum materials for professors and students to learn the what, why, and how of analytics. Access these resources by logging into the QCC using your Qlik username and selecting “Academic Program” on the top menu of the QCC homepage.
Share The Qlik Academic Program to friends or colleagues who are new to analytics and need a place to get started!
For all the Continuous Classroom users, and those of you who want to check out expertly created Qlik Training for free, go to qcc.qlik.com.
Existing users will notice that there are new tabs at the top of the page to help you navigate to the most important parts of the Continuous Classroom in order to get the most of your subscription. Easily access the libraries, learning plans, live webinar schedule, instructor Q&A sessions, and learn more about the platform.
Email questions and comments to ContinuousClassroom@qlik.com

The Qlik Sense June 2017 release came with a bunch of new visualizations, distribution plot is one of the new objects available to drag and drop into Qlik Sense. Let’s use an example to check what a distribution chart can tell us that was previously hidden from our eyes.
I’m going to use a very simple example of sales data, it contains 3 sales rep and monthly sales that extends over a year. We want to see how our reps are preforming over the year by observing some execution indicators such as total sales and average sales.

In our not-so-random example data, sales are even for the sales team. As you can see in the picture below, their aggregated numbers are almost identical.

Average is just not enough to see how sales rep are performing, we need more granularity if we really want to understand how the sales process works. To do so we could try to include months and maybe use a different visualization object like a line chart.

Line chart will help us to see sales with a temporal component, I see how both Jerry and Sheri have a very regular sales process over the months while Dani's go all over the board with excellent months and not so great ones.
Distribution plot can help me to get a better picture of our sales by giving us a glance of data dispersion.

I see that despite having the same yearly sales amount and sales average the actual distribution over time is quite different from each other.
Jerry has tight sales performance month to month with all the points(months) falling in a compact cluster. Sheri meanwhile has a very tight bucket of dots a little over $150 but also a couple of months that could be considered as outliers. That is valuable information that wasn’t obvious only attending to the line chart.
Dani's sales don’t follow the pattern described by the other two individuals. For Dani, monthly sales range from $0 to $600 is either an excellent or a terrible month. Any company will be happier with a more consistent sales performance and our imaginary company is no exception to that. By learning how each one of the sales team performs we can take the necessary actions to help Dani to be more reliable.
As we have seen similar yearly sales and identical sales average could hide some valuable information, there’s a story in your data that needs to be discovered.
Enjoy it,
Arturo (@arturoqv)
Of the 2 ½ years I have been with QlikTech, I have never had to use the IntervalMatch prefix in any of my scripts but I recently found out how powerful it can be. I was tasked with creating a Profit and Loss (P&L) statement in QlikView based on the format outlined in this Excel file.

Who would have thought something as simple as IntervalMatch would solve my problem? I have always said that I learn something new about QlikView every day and this day was no different. I was able to load my master account information, my account balance information and then perform the IntervalMatch, using the reporting code field from the master account table, to get everything in sync so that the correct rows were summed in the P&L statement. Then all I needed to do was create my chart (a straight table) in QlikView. In the end my chart looked like the image below and I was quite pleased.

I wrote a technical brief about how I completed this task. I know this is just one of the many ways IntervalMatch can be used. I am sure in the future I will learn some of the other ways.

Coming from a traditional business intelligence and ETL background where I’ve used both proprietary and open source solutions – things like OLAP, data modeling, SQL, 4GLs, semantic layers and even coding dashboards were commonplace for many years. So when I started with Qlik, I was not only thrilled, but quite biased towards the way I manged and created analytics . As I set out to build my first Qlik application I immediately had many questions:
As I set out on this journey to appreciate Qlik, I was surprised at what I found. In this multi-part blog series I will share with you some of my pleasant surprises that changed the way I create and work with analytics.
So let’s dive in further to my first Qlik pleasant surprise.
#1: Where's the "Semantic Layer"?!
NOTE: The subject matter in this topic can have many moving parts and is not meant to be a direct comparison to traditional BI or other data visualization tools. It is an expression of my experiences when first working with Qlik and meant to inform those who might have similar expectations when comparing Qlik to other BI tools.
A typical first step when using BI tools is that you usually create a metadata or semantic layer before you can begin creating your reports and dashboards. Depending on the tools being used, sometimes you even need to create more than one…one layer to support operational reporting and one to support interactive OLAP. (Often when a vendor's software stack combines a number of acquired tools, you may see this occur.) Creating abstraction layers such as these are usually performed by BI administrators whom are familiar with the data. Metadata / semantic layers provide a unified, consolidated view of data across the organization. They are important middlemen that connect back-end data to BI client tools and add a layer of governance and security. These centralized repositories store many attributes of your data including specific attributes used by the tools:
Once a semantic layer is prepared, the BI client tools can begin using the "data models", "business objects", "data dictionary" etc, to create reports and dashboards.
Now, when I started working with Qlik, I was unsure how this step was performed -OR- perhaps what I was doing seemed more transparent and less rigid than what I was used to. For starters I could quickly load data directly from many sources and go directly into my analysis. Qlik simply loads and indexes data into its apps during the app creation. These apps then operate within an associative indexing engine. (more on that in another article) - If I wanted to add multiple sources, I can visually profile the data and define relationships automatically - no complex data modeling or SQL required. I did not need to worry if I was "joining" correctly or even understand the relationships of the tables. I found this to be a huge time-saver and the process was fairly simple to navigate. This was indeed a pleasant surprise.

Once the data was loaded into the app, I immediately had access to my fields and could begin creating my analysis. In addition, I discovered that I can also set up reusable expressions, measures, dimensions and even predefined visualizations, through a feature known as Master Items. Master Items are defined in the Qlik Sense App rather than a centralized server. They allow business users to use a pre-defined library of assets so they can easily create and customize visualizations. (Note: Master Items are more beneficial to users of Qlik Sense Enterprise as opposed to those using Qlik Sense Desktop.)

This was a pleasant surprise as it was extremely easy to get started with Qlik and cut my data preparation time significantly, in turn giving me more time to create my analysis.So basically, I discovered that Qlik, defines its "semantic layer" within the app itself, as opposed to a separate repository?!? Hmmm.....
A healthy debate ensues
To some degree, I understand there are some opinions about this approach, and some may say "That's not a semantic layer". Now there are ways that you can export a Qlik data model and data index, created within the app, to disk (.qvd) and use them with other applications. This has been done widely and successfully by many of our customers. But...with the new Master Items approach introduced in Qlik Sense, we needed a way to centralized those assets for other applications as well, so our team of experts have created a Qlik Powertool, the Governed Metrics Service.
"The Governed Metrics Service (GMS) Powertool provides the ability to control and provision the use of governed Master Items. GMS loads externally defined metrics and applies them to one or more designated applications. GMS will quickly have you on the right track to governed self-service."
To learn more about GMS check it out here: Introduction - EA Powertools Governed Metrics Service
My journey with Qlik is no where near completed and I anticipated many more pleasant surprises. Next week I'll cover another pleasant Qlik surprise that helped me uncover things in my data I had not idea existed. Have a comment or question, a pleasant surprise you want to share? We want to hear from you. Use the comments section below to ask a question and join the discussion.
Regards,
Michael Tarallo (@mtarallo) | Twitter
Qlik
For starters, if you are a visual learner and new to Qlik, take a look at this brief video to get an idea of how to provision from multiple tables using Qlik Sense:
NOTE: To increase resolution or size of the video, select the YouTube logo at the bottom right of the player. You will be brought directly to YouTube where you can increase the resolution and size of the player window. Look for the 'settings' gears icon in the lower right of the player once at YouTube. (video and sample files)
For more videos that can help you get started with Qlik Sense: