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Qlik Design Blog

77 Posts authored by: Michael Tarallo

Hey guys - it's What's New in Qlik Sense time and I have prepared a brief video to share some of the awesome highlights in our next release Qlik Sense April 2018.

 

 

Highlights include:

 

Assisted data visualization with Qlik Sense chart suggestions / recommendations

Qlik Sense recommendations make it easier to create a visualization by allowing you to simply drag and drop fields onto your sheets. Chart suggestions are created using the Cognitive Engine in Qlik, which leverages insights from the data loaded and combines them with best practices for data visualization.

 

NEW Grid Size control

Now with the creation of a new sheet, the application author can choose between 3 grid sizes - small, medium and large.

 

Maps visualizations improvements

Qlik Sense April 2018 features significant improvements to the built-in maps visualization:

  • Support for multiple layers.
  • Labels for point layers and area layers.
  • Quick look up of countries, divisions, cities, postal code areas.
  • No fixed upper limit of number of objects.
  • Circle select with distance measure.
  • Drill down support.
  • Layer control, zoom limit and draw order.
  • English or local name in the background map.

 

Publishing an app from the hub

In Qlik Sense April 2018 you can publish an app that you have created to any stream for which you have publish access. If you have published an app to a stream, you can move your app between the streams for which you have permission to publish.

 

Qlik Geocoding
A new subscription service part of the Qlik GeoAnalytics product package, that allows you to coordinate geo lookups all the way down to the street level.

 

Also included:

 

Keyboard navigation support for Qlik Sense hub

To improve accessibility, Qlik Sense hub now supports keyboard navigation and shortcuts.

 

Linking Qlik Sense Mobile to third-party applications

Qlik Sense Mobile can now interact with third party mobile applications through a custom generated URL (deep link). The link can be embedded within the third party mobile application, with appropriate selections and filters. Clicking the link opens the app in Qlik Sense Mobile with the filters and selections that were applied during original presentation. As a result, user experience is improved and context is provided when interacting with the app.

 

Enable anonymous users to export data

From Qlik Sense April 2018 anonymous users can print and export data.

 

For a complete list of fixes and improvements check out the release notes in the Qlik Help site.

 

You can download it from our customer downloads site or play with it right now on http://qlikcloud.com/.

 

Note: Our amazing product content and media team has also produced a number of updated videos supporting this release, check them out here on the Qlik Help YouTube channel:

 

Qlik Sense April 2018 Playlist

 

Can't see the video? YouTube blocked by your region or organization? Download the attached .mp4 to play on your computer or mobile device.

 

Additional resources:

 

 

Regards,

Michael Tarallo (@mtarallo) | Twitter

Qlik

Hey guys - I know you will love this blog and video as much as I enjoyed making it; working with this really smart feature in the Qlik Sense April 2018 release. Here I will present a new feature made available in Qlik Sense April 2018, Chart Suggestions / Recommendations. If you have tried the Qlik Sense 2018 Technical Preview, then you have already got a glimpse of the power of the new Cognitive Engine. In my opinion the best part of this release are the new capabilities and future possibilities brought about by the new Cognitive Engine. Its main purpose is to streamline and enhance the analytics creation experience - taking you from data to insight in a matter of seconds / minutes. In short the Cognitive Engine leverages best practices, augmented intelligence and perhaps a little elf magic - along with your loaded data, to not only recommend data model associations BUT also suggests the best visualization for your data. All you need to do is drag and drop measures and dimensions either on to the design canvas or chart objects and the suggested visualization will display -  best depicting your data (no magic words required).  Allowing users to focus their efforts on gaining insight instead of building charts. Let me give you a quick demonstration.

 

You can try this right now in Qlik Sense Cloud!

 

 

 

Can't see the video? YouTube blocked by your region or office? Download the .mp4 to watch on your computer or mobile device.

 

Sample data attached.

1 f6YOV8dKjI9lXCC7TUpjIQ.pngImagine having a suite of proven tools and technologies built for developers by developers that allows you to build highly-scalable, cloud ready solutions using the power of the Qlik Associative Engine. Well, imagine no longer last Friday, 4/6,  we released the Beta of Qlik Core. Qlik Core is a development platform built on top of the Qlik Associative Engine. With Qlik Core, you can take advantage of the powerful associative indexing engine from Qlik to build your custom data exploration and data visualization solutions.

 

Please note that Qlik Core is a product - but it is not something you simply download and install with an installer. It works with technologies such as Node.js, Docker and Kubernetes and development knowledge of working with APIs is a prerequisite.  To learn more about the Qlik Core Beta and to get started watch this brief video below and visit https://branch-blog.qlik.com/introducing-qlik-core-beta-30221d627132 - where our product manager John Trigg provides some more of the particulars. You can also visit the many getting started resources here https://qlikcore.com/.

 

This brief video below is a short promotional video designed to briefly introduce Qlik Core.

 

Introducing Qlik Core

 

Regards,

Michael Tarallo (@mtarallo) | Twitter

Qlik

 

Can't see the video? YouTube blocked by your region or organization? Download the .mp4 to view on your computer or mobile device.

332f5e2.jpg
My buddy from down under is back in this week's edition of the Qlik Design Blog. Lee Mathews, Qlik Principal Solution Architect based in Melbourne Victoria, Australia, shows and tells how Qlik Sense can be used for financial reporting.

 

Financial Reports with Qlik Sense

 

I often have customers asking how they can produce financial style reports in Qlik. These reports are actually quite difficult to produce in most BI systems, as they usually require calculations and formatting that needs to change row by row. Most BI systems produce tables of data that display a single calculation in each column, with a dimension being used to provide a breakdown for the rows. Qlik is actually no different in this regard, however there are several aspects of the Qlik platform that provide the flexibility to replicate structured financial reports. Let me briefly introduce these aspects below:

  • Qlik’s powerful Extract Transform and Load (ETL) capabilities make Qlik the ideal platform for combining and reporting on data from disparate systems. But these ETL capabilities also allow you to take a data set and restructure it to include the necessary sub-totals that must be displayed in a financial report for example. You can also then flag these sub-totals in the data model so that different formatting can be applied to them in the UI.

  • Qlik’s extensive APIs allow visualization extensions to be created easily, with formatting options specifically for structured financial reporting. Two such extensions are illustrated in the video below, along with the use of the standard Qlik Sense pivot table object.

  • Qlik’s flexible expression syntax allows for a variety of tricks, to ensure that the right expression is displayed on each row. This includes Pick/Match functions, If Then Else logic, and of course Qlik’s powerful set analysis capabilities.

3-27-2018 10-40-08 AM.png

The short video below shows several approaches to producing structured financial reports. It is by no means an exhaustive list of techniques, but is a good overview of some of the options available.

 

Enjoy!

 

Lee Matthews
Principal Solution Architect

 

Qlik Sense for Financial Reporting

 

Can't see the video? Download the .mp4 to watch on your computer or mobile device.

Hi guys - when working with a customer requirement, I recently discovered some additional controls one can implement in a published Qlik Sense app. There may be times, when you want to hide additional fields that are displayed in the Qlik Sense design interface. Now these fields are commonly ID and KEY fields which may not be necessary to one's analysis and the requirement might not always be for any specific security...as in our example they simply just want to control the visibility in the interface to reduce clutter and confusion.


Under default conditions, these fields will be displayed in the data visualization's field selector, the data properties drop down and in the expression editor. During this discovery, I was under the impression that when a user (consumer / viewer / non ContentAdmin role) - who can create their own analysis from a approved base app, they would only see the measures and dimensions populated in the Master Items panel on the left. While this is true, I discovered that the aforementioned user interface components, still display ALL the fields.

 

Here is how you can control that: Use system variable HidePrefix


Example: 
set HidePrefix='_' ;



Watch this video to learn more:

 

 

 

Note: The data model fields are STILL accessible - however one would need to know what the prefix character is in order to use it in the expression editor or to be able to access it.

 

3-19-2018 5-18-41 PM.png

 

If you need an extra layer of security - where access to certain fields and data are restricted per user, group, or role then you would use section access to control the available fields and data from displaying.


One of our community members has also made mention you can use:

..

..

Tag Fields

[Hidden Field 1],

[Hidden Field 2],

[Hidden Field 3]

with $hidden;

..

..

Thank you!

 

Can't see the video? YouTube is blocked by your organization or region? Download the .mp4 to view on your computer or mobile device?

 

Regards,

Michael Tarallo
Qlik

Hi Guys - do you have 4 minutes? Good, then let's forego my normal formalities this morning and jump right into it!

 

Here are some recent product and resource updates s well as an informal list of features for the next release of Qlik Sense - April 2018.

 

Let us know what you think in the comments below.

 

Enjoy,

 

Michael Tarallo (@mtarallo) | Twitter

Qlik

 

Links mentioned in the video are:

 

 

 

 

  • Can't see the video?
  • YouTube blocked by your organization or region?

 

Download the attached .mp4 to view on your computer or mobile device.

Hey Guys - if you have been following Qlik, then you know that once again Gartner has placed us as a leader in the Magic Quadrant for Analytics and Business Intelligence Platforms for the 8th year in a row ... AND.... you know that every year around this time we participate in a friendly, live, on-stage Business Intelligence competition know as the BI Bake Off. This informative and exciting session is held during Gartner's Data Analytics Summit and hosted by BI research VP Cindi Howson, previously of (@BIScorecard) fame. It's a time and place for Qlik and its competition (Tableau, Microsoft, MicroStrategy) to showcase their greatest strengths...and possibly expose a few weaknesses - in front of many organizations' data analytics leaders. Overall, despite our competitive spirit, it is an awesome experience and a fun time to be had by all. Our presenter Josh Good (@joshdotbad) - led an entertaining and interesting session, showcasing Qlik's solution.


DXeP-6nVAAAcTkg.jpg large.jpg


Prior to the event, the Qlik team prepares a solution following a provided script based off of a public data set given to them by Cindi. Data usually centers around a topic in which each vendor can show how they can "do good" with the data, which is consistent enough to facilitate a side-by-side comparison. In the past we have analyzed traffic fatalities, homelessness and college debt, but this year the data centered around the deeply emotional opioid epidemic plaguing this great nation.


During the session, each vendor takes turns using their software to present their analytics while showcasing the capabilities of their software within a few different categories.


DXdxSi2VoAA3lOA.jpg

Qlik on stage - on the big screen - BI Bake Off Gartner Data Analytics Summit


Take a brief look at Qlik's solution highlights reel presented for each topic and let us know what you think by leaving a comment, question below - the timecode links for the section categories are listed below:



Gartner BI Bake Off Qlik Highlights Reel




To see an actual Qlik Sense product demonstration analyzing the Opiod Crisis check out this webinar presented by the Qlik Healthcare team: Analyzing the Opioid Crisis with Qlik - Webinar - YouTube


Analyzing the Opioid Crisis with Qlik - Webinar




We'd like to thank the entire Qlik team for a job well done as well as Gartner and Cindi for hosting another great event. Stay tuned to learn more about our future capabilities and be on the look for Cindi's take on the Bake Off on her blog space at Gartner.


Enjoy!


Michael Tarallo (@mtarallo) | Twitter

Qlik

 

Can't see the video? Access to YouTube restricted? Download the .mp4 attached to this post.

Hi guys, in this video edition of the Qlik Design Blog, I cover a well known but often misunderstood chart function known as Aggr(). Aggr() is used in advanced calculations when you need to make a second aggregation based on the result of the first. Such as which customer in which country had the most orders. Note that in combination with AGGR you can also use the FirstSortedValue() function with your aggregated measure as an argument, in order to display the dimension along with the aggregated measure. I provided examples below. Enjoy!

 

 

 

Let's Break It Down

 

Spotting the difference and piecing it all together so you can see how it works is a great way to internalize the function. This can be done with either Qlik Sense or QlikView. I put this together in a manner that allows you to see the breakdown of how aggr() works in conjunction with the video.

 

Which customers had the most orders?

  • Use a table object
  • Add Customer as dimension
  • Add Count(OrderID) as measure
  • In the table click the header column to sort - Descending - Customer on top had the most orders

 

Which countries had the most orders?

  • Use a table object
  • Add Country as dimension
  • Add Count(OrderID) as measure
  • In the table click the header column to sort - Descending - Country on top had the most orders

Which customers, in what countries has the most orders?

  • Create a table object
  • Add Country as dimension
  • Add Customer as dimension
  • Add Count(OrderID) as measure
  • Hmmmm.... that's not right - it shows me the number of orders within each customer for each country, not the most.
  • Ah - if I use Aggr() with my expression - I can use the Max() aggregation to get the most of the order count for each customer as in:
    • max(aggr(Count(OrderID),Country,CustomerName)


BONUS Feature: FirstSortedValue()


  • But how do I display the corresponding customer value in that country?
    If I just use Country in the table, the results are similar to my previous example and are not correct.
    • Ah - if I create a measure using the FirstSortedValue() function along with my aggr() expression I can display the Max customer in that country in my table.

      • FirstSortedValue(CustomerName,-Aggr(Count(DISTINCT OrderID),Country, CustomerName))

 

FirstSortedValue( value, sort_weight, rank ):


FirstSortedValue() returns the value from the expression specified in value that corresponds to the result of sorting the sort_weight argument. So CustomerName is the value I want to display or return in the table and -aggr(Count(Distinct OrderID),Country,CustomerName) is the sort_weight argument...where " - " is used to denote the highest (or most) - the number of orders. This returns the value of the customer corresponding to the most orders for that customer.

 

The result - a single consolidated table showing you the customers with the most orders in their corresponding countries.

2-26-2018 5-38-23 PM.png

Which Customer in what Country had the most orders


Regards,

Michael Tarallo (@mtarallo) | Twitter

Qlik

 

Resources:

 

steve.pngToday's Guest Blogger is, Qlik's Steven Pressland. Steven joined Qlik in 2016 as a Solution Architect. Prior to Qlik he was responsible for BI transformation and delivery across a number of Financial Services organizations. This experience and extensive product knowledge enables some of our largest enterprise customers to succeed at unlocking business insight through Qlik. Steven leads the global Advanced Analytics team within Pre-Sales and through this role brings us this update.  In this blog, Steve recaps the last 8 months of Qlik's latest enhancement to Qlik Sense and QlikView: Advanced Analytics Integration (AAI). He also shares the details on what's new with AAI in the February 2018 release including a sample on how it works.


Take it away Steve!


 

8 Months of Advanced Analytics Integration


Last June when Qlik Sense was released, it contained one of the biggest changes to the engine since the second generation data indexing engine engine was released with the launch of Qlik Sense in 2015. The server-side extensions API, more commonly referred to as Advanced Analytics Integration (AAI) was made generally available, providing a way for calculations to be externalized from the engine on demand as part of the user’s session.

 

Advanced Analytics Integration - Qlik Sense in 60

 

The capability and flexibility enabled developers to explore new use cases for their Qlik applications, and most importantly business users have more access to insights than ever before.

 

When we launched AAI, two open source connector projects were created. One for python and one for R. Supporting these two popular languages first, provided a way for users to connect to two of the most popular advanced analytics tools of choice. Since then, the R&D team has broadened Qlik's AAI projects by adding examples for C#, C++, GO and JAVA.

 

Over the last 8 months we have seen customers and partners deliver solutions using the out of the box sample R connector as well as create custom calculation engines to solve other calculation problems such as decryption and live data augmentation.

 

UK Reported Crime Demo App.jpg

UK Reported Crime Demo App

(LIVE DEMO LINK)

 

The next big milestone for AAI was the November 2017 release of QlikView, which brought the same AAI capabilities launched with Qlik Sense to QlikView. This gave QlikView customers a whole new set of opportunities for both old and new applications. The underlying technology for QlikView is the same as Qlik Sense, meaning you can share all the services already built with only a simple configuration step on your desktop or server. If you have not yet looked at how you can bring new a new perspective to your QlikView applications with Advanced Analytics Integration I will be presenting a session dedicated to AAI for QlikView at Qonnections 2018 (<- Customers and Partners sign up here), I hope to see some of you there.

 

The Qlik Community


As with many aspects of the Qlik product line, AAI’s success is made possible by the strong community who collaborate and share. The Qlik community space for advanced analytics integration is widely used and moving forward. This year we are planning to give it a facelift to make it easier to navigate and find information so more customers can make use of the technology in their businesses. If you have not yet got started with AAI or are experienced in the technology, do drop by and explore the resources available.

 

What’s new


This blog was written to coincide with the Qlik Sense February 2018 release, which is now generally available and includes the latest feature release for AAI which now supports whole table processing in the load script. A commonly requested feature is to be able to batch process algorithms for tasks such as model training and scoring. This was possible in a limited row by row capacity at launch, however with the new version we now support sending whole tables to and from the external calculation engine as a standard part of the application load script - made possible through a simple extension to the LOAD syntax.

 

So, how does this work?


When writing your application script there is now an extended syntax to the load statement, like the FROM or RESIDENT statements that have their specific uses. Qlik can now use the reserved statement, EXTENSION, to specify that the source of the loaded data table will be the result of an AAI function.

 

The following example calls an R script to score some input data using a table already loaded into the Qlik data model and returns a result:

 

Load 
 RowID, 
 num(p,'##0.##') AS Predict_Score 
 Extension 
 R.ScriptEval(' … R Script Here … ',
 Rentals{RowID,Year,Month,Day,RentalCount,WeekDay,Holiday,Snow });





As you can see, the returned results are accessible to be processed using all the standard Qlik script functions providing a useful addition to the script syntax.

 

AAI Script Process.jpg

 

Where to Next?


There are lots of resources available to help you succeed with Advanced Analytics Integration, here are a few of the key links to explore:

 

 

  • This repository provides a server-side extension (SSE) protocol based on gRPC that allows you to extend the Qlik built-in expression library with functionality from external calculation engines. You can use external calculation engines in both load scripts and charts. In Qlik Sense and QlikView, you connect to these server-side extensions (SSEs) by defining analytic connections.
    https://github.com/qlik-oss/server-side-extension
  • This repository provides a server-side extension (SSE) that allows you to extend the Qlik built-in expression library with functionality from R. You can use this in both load scripts and charts. In Qlik Sense and QlikView, you connect to this SSE R-plugin by defining an analytic connection.
    https://github.com/qlik-oss/sse-r-plugin
  • The AAI Advanced Analytics Expression Builder is a Qlik Sense extension used to create advanced analytics expressions as master items and wrap these in to a pre-built visualization. These visualizations use native chart types and can be edited either as a master item or un-linked and customized.
    http://branch.qlik.com/#!/project/596f87f186a5cf7ec72e90e9


  • Qlik Sense extension which allows you to create charts to perform advanced analytics by simple drag and drop without complex scripting. This extension works on the top of the Advanced Analytics Integration (AAI) functionality with R.
    http://branch.qlik.com/#!/project/5979da222ef8975d99132f88


Hope you find this information useful.


Regards,

Steven Pressland
Senior Solution Architect

And-the-winner-is-002.pngHey guys - it has been a little over a month since I introduced you to our first Qlik Community Twitter Contest within my 2017 year in review blog. I want to thank you for your contributions and was very pleased to see the number of awesome examples demonstrating Qlik in action. That being said, all contest submissions come to end and well, it's time to announce the winner...watch this brief video to learn who it is and what the winner's 2017 Qlik Highlight was!

 

 

 

 

Can't see the video? Access to YouTube blocked by your organization or region? Download the attached .mp4 file to view on your computer or mobile device.

Hi guys - in this edition of the Qlik Design Blog, I have a short video that briefly introduces you to some of the new features available in Qlik Sense February 2018. Some of the related features are already available in Qlik Sense Cloud and can be used immediately. (note: themes is not available in Qlik Sense Cloud). The software download is currently available to customers and partners who have signed up for the Technical Preview and will be made available for download in our customer downloads area this month.


Qlik Sense February 2018


 

Available shortly on the Qlik Help Channel - see more of these new features in action with our how-to tutorials.

 

Please let us know what you think by posting comments below.

 

 

What's New - Qlik Sense February 2018

 

Enjoy!

 

Michael Tarallo (@mtarallo) | Twitter

Qlik

 

Can't see the video? YouTube blocked by your Region or Company? Download the .mp4 to watch on your computer or mobile device.

be9734868170ef50ac66fcd2b59da561.jpg.pngHey Guys - I have been meaning to do a video on this topic for many years and I finally got around to it! Over the years as I taught myself Qlik, I would dabble with the idea of incremental loading - but never really had a grasp on it as my data sets were always used for demos or they were quite small.....until I started building my Qlik Sense Retro-Gaming Dashboard.

1-30-2018 4-20-48 PM.png

(I use the incremental loading best practice to insert new video game pricing data daily - which allows me to view the pricing history of my collection for "Loose" and "Complete in Box" values). As I was building my app I had a ton of resources available to me but I never really found a decent video on this topic that simply explained what it was or how it is used. I figured I would create something short and sweet with a simplistic example from what I have learned, with hope it helps you understand incremental loading a bit better than I did! There are a few prerequisites you should be aware of, such as understanding what .QVD files are and what there purpose is. As well as basic data model design that include key and date fields which are used to identify new and changed records. I've included some samples files and resources at the end of this post to help.


Let me know what you think and please leave your questions or comments below. Enjoy!


Incremental Load


Regards,

Michael Tarallo (@mtarallo) | Twitter

Qlik

 

Resources:

 

 

Sample Insert Only - Incremental Load Script

 

//Simple Insert - New Records from Source Data

// Get the last OrderID loaded into the .QVD
MaxKeyLoad:
LOAD Max(OrderID) as MaxID
FROM [lib://IncLoadLocation (desktop-aura45o_mto)/sales_data.qvd] (qvd);

//Set a variable to be used in the SQL
Let MaxID = peek('MaxID',0,MaxKeyLoad);

//Get the latest data from the source where the OrderID in the Source is greater than the orderID in the .QVD
[orders]:
Load *;
SQL SELECT * FROM "Sales"."dbo"."Orders$"
WHERE OrderID > '$(MaxID)';

// Data is automatically concatenated if the data model has the sames fields
// CONCATENATE forces concatenation (in this example it is not necessary)
// Load all data from the .QVD
CONCATENATE
LOAD * from [lib://IncLoadLocation (desktop-aura45o_mto)/sales_data.qvd] (qvd);

//Store the new larger qvd file
// This will store the existing data and the new record and overwrite the existing .qvd
STORE orders into [lib://IncLoadLocation (desktop-aura45o_mto)/sales_data.qvd] (qvd);

// Exits script - used for debugging and troubleshooting - will not execute the next tab.
exit script;





 

 

Can't see the video? YouTube blocked in your region or office? - Download the .mp4 to watch on your computer or mobile device.

 

In case you want to perform this test with MS SQL - I added the SQL Queries and the MS SQL Database .bak file as well.

1-22-2018 9-48-55 AM.png

UPDATE: Attached are several demos, PDFs and a PPT that are useful to be shared externally for customers and partners alike.


By now it is common knowledge in the Business Intelligence and Data Visualization space, that the term Big Data doesn’t equate to one technology. That being said, it is also true that Big Data doesn’t relate to one scenario, use case or infrastructure. There can be many differences from one organization to the next. Since every situation is different, Qlik offers multiple techniques which can be used individually or in combination, to best meet the Big Data needs of a particular organization. One of these approaches is On Demand App Generation, commonly referred to as ODAG. ODAG was first introduced as an extension for previous releases, and is now built in to Qlik Sense starting with our June 2017 release. It benefits from continued enhancements with each release.


Our latest video from Adam  will show and tell you more.


"On Demand App Generation is a methodology that can be used in any situation where each user wants to explore their own slice of the data and it is now a built in function since the June2017 release of Qlik Sense. Big data analytics can now be approached through a shopping cart like process where dimensional data can be filtered at an aggregated high level and data slices automatically generated on-demand for further detailed analytics by users, all in a secure and governed manner." - Adam Mayer

 

 


On Demand App Generation


Helpful Resources




Who is Adam Mayer?

AM_round Green Circle_2.jpg

 

Adam joined Qlik in 2016 as a Senior Manager in Technical Product Marketing. He is responsible for delivering the company’s Internet of Things (IoT) go-to-market strategy. With a strong technical background in computing spanning over 20 years, underpinned by an incisive engineering perspective, Adam is an avid follower of new technology and holds a deep fascination of all things IoT, particularly on the data analytics side and finding new ways to make it as translatable, visual and understandable to as many people as possible.


"My first Qlik Sense app tracked my spend on car fuel where I geeked out on the rise and fall of pricing data!"


You can follow Adam on Twitter here: Adam_Mayer (@AdamMayerwrk) | Twitter


Can't see the video? Access to YouTube blocked?


Download the attached .mp4 to watch on your computer or mobile device

ny2018.pngWell guys - where do I begin? – Ah I got it, Happy New Year! <sigh> It feels like only yesterday that I was writing my first blog for 2017. However, after a long break, I’m excited to get back to work and contribute towards another prosperous year at Qlik! I didn’t want this to be another one of those “Year-in-review-type” posts…..so…I cleverly disguised it to highlight some of our product achievements during 2017. Think about it as a sitcom clip-show. So much Qlik goodness has transpired over the past year not only is it difficult to cover everything that has happened with the product, but as a consumer, I know it's difficult to keep track of it all, so I ‘ll do my best to summarize and consolidate where I can. This post is a bit long - so for some of you, I expect you to bookmark it and use it for later reference if needed.


ENTER TO WIN $50 Amazon Gift Card - Rules Below


So, let’s begin.

 

For those of you who want the short, short version:

 

  • Qlik GeoAnalytics
  • Qlik Sense 3.2
  • QlikView Converter
  • Qlik Sense Chat Bot
  • Data Connectivity
  • Qlik Sense June 2017
  • Advanced Analytics Integration
  • Qlik Sense September 2017
  • Qlik Sense November 2017
  • Qlik Sense Mobile
  • Qlik's Associative Difference

 

Qlik GeoAnalytics

 

Qlik GeoAnalytics Datasheet1-3.jpgIn January of 2017 – we kicked off the then new year with an acquisition of our Sweden-based partner, Idevio, creator of Idevio Maps. We introduced the recently acquired product as Qlik GeoAnalytics. Currently available as an extension for both Qlik Sense and QlikView, Qlik GeoAnalytics goes beyond traditional “points on a map” and adds a broader range of capabilities to support advanced geoanalytic use cases. During 2018 (no specific time-frame yet) we plan on integrating Qlik GeoAnalytics directly into Qlik Sense, so stay tuned.

 

ICYMI: Introducing Qlik GeoAnalytics

 

Qlik Sense 3.2

qlik_sense_3.2_highlights_0.jpg

 

Soon after, in March 2017 - we announced our first release of Qlik Sense for the year, version 3.2. 3.2 added the ability to easily create time-based measures (Calendar Measures), included additional chart options to support custom colors and color assignments, introduced the QlikView Converter and added a new configuration to improve the performance and stability of multi-node deployments (Shared Persistence)


ICYMI: Introducing Qlik Sense 3.2

 

 

The QlikView Converter

 

ui-qlikview-converter-example-01.png With version 3.2 we included a utility found in the Dev Hub that simplifies converting a QlikView document (.qvw) over to a Qlik Sense app (.qvf). You simply upload your .qvw to the converter to be analyzed, and it will extract the data model, script, measures, dimensions, expressions, variables and even compatible visualizations. The user can then choose what they want to convert to create a starter Qlik Sense app. Next they can create new or modify existing visualizations using the assets that were already available in QlikView.

 

ICYMI: QlikView converter - Qlik Sense - YouTube

 

Qlik Sense Chat Bot

 

1.pngApril 2017 set a new milestone for Qlik by pushing the boundaries of analytics.  We demonstrated the art of the possible using the Qlik platform, its awesome APIs, and various 3rd party technologies - to create the first ever Qlik analytics chat bot. Simply stated, imagine getting your answers to your business questions by asking your digital assistant. Since the original bot debuted at the Gartner BI Bake-off and Qonnections there has been tremendous interest in this concept, which has evolved rapidly over the 2nd half of 2017. There is now a new community group: https://community.qlik.com/groups/qlik-chatbots with many supporting resources and our own Todd Margolis is leading the charge to help enable our community to take advantage of our two open-source Qlik Bots.  Whether you’re a business user and want quick and easy access to your KPIs on the go or you’re a developer and want to extend them with new capabilities or integrate Qlik into your existing bots, we’ve got you covered.

 

ICYMI:

 

Data Connectivity

cloud+blog+2.pngOver the course of 2017 Qlik Sense and Qlik Sense Cloud had many improvements, especially in the area of connectivity. In May we introduced the first integration of our Web Connectors package to Qlik Sense Cloud – starting with access to Twitter, Facebook and Google Analytics.  Then in July we introduced on premise connections from Qlik Sense Cloud starting with MS SQL as well as the Web file connector. During 2017 we delivered over 20+ connectors to Qlik Sense and Qlik Sense Cloud Business including Dropbox, REST, Amazon Redshift, YouTube and many more.

 

 

 

ICYMI:

 

In addition to the aforementioned connectivity we also debuted our new release schedule and product naming convention when delivering Qlik Sense June 2017. No more dot releases for us – new releases are now identified by the month they are delivered in. June 2017 brought us new visualizations (Histogram, Distribution and Box plots), enhanced visual data preparation features that support data profiling and data quality and a new Advanced Analytics integration framework – allowing you integrate with advanced analytics engines such as R and Python.

 

 

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Qlik Advanced Analytics Integration (AAI) enables direct server to server data exchange between Qlik Sense and 3rd party calculation / analysis engines via a connector or what we also call a plugin. So for example, a specific forecasting function that is part of an R library can now be called from within Qlik script and chart expressions and calculated on the fly. Passing the results back to the Qlik analysis engine and subsequent visualizations. With this capability we now support the APIs that provide connectivity to such engines and provide starter connector projects for R and Python.

 

ICYMI: Introducing Qlik Advanced Analytics Integration

 

Qlik Sense September and November 2017

 

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Continuing our commitment to deliver iterative improvements and features every 10 weeks, we released our September and November 2017 releases, which introduced our new Waterfall chart, continuous transformations using visual data preparation, our Qlik Sense Mobile app, visualization and navigation improvements and the introduction of our extension certification pilot.

 

 

 

ICYMI:

 

Qlik Sense Mobile (offline)

 

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Originally released to select participants in June, the Qlik Sense Mobile app for iOS became available to customers and partners in the Apple App Store later in the year. This iOS app enables its users to connect to their Qlik Sense Enterprise Server and download a local copy of their Qlik Sense app directly to their iOS device where they can analyze data on the device just as if they were connected to the server, allowing them to take Qlik Sense with them on the go in a disconnected state. (at this time Qlik Sense Mobile is for iPad only – a version for the iPhone is expected to be release early this this year.)

 

 

ICYMI:

 

Qlik’s Associative Difference

 

assoc_thumb.pngFinally, analytics is more than just creating charts, it’s about finding answers. Therefore, I’d like to give an honorable mention to our team, who has created resources to help our prospects, customers and partners clearly understand the benefits of Qlik’s Associative Difference, powered by our patented associative technology. Sometimes referred to by many different names (Associative Experience, Associative Model, Green-White-Grey), Qlik’s Associative Difference separates us from those traditional query-based visualization tools. Qlik’s Associative Difference allows you to explore data freely in any direction, automatically associating every dimension in the data model which visually reveals how the data are related using the colors green, white and grey - AND -  without leaving any data behind.

 

ICYMI:

 

Well guys – that’s it – your Qlik 2017 Year In Review – oh wait. - I said I wasn't doing a "year-in-review" post, ah @#$%&!.

 

Personal Giveaway Rules:

 

Do you have some interesting Qlik highlights or discoveries during 2017 that you would like to share? We want to know. Post them in the comments below OR if you would like to participate in my personal giveaway with a chance to win a $50 Amazon Gift Card (claim code) post a tweet using twitter http://twitter.com/ with your 2017 Qlik highlight or discovery and tag me using @mtarallo along with the hashtag:

 

#Qlik2017Highlights

 

...you will then be entered into a reviewed, random drawing to receive $50 Amazon Gift Card(claim code). Winner will be selected using Qlik's Twitter Connector and Qlik Sense app which will draw a random tweet using the hashtag: #Qlik2017Highlights. Winner will be announced on Twitter by @mtarallo on February 6th 2018 [UPDATE: Feb 13th 2018] and in the Tuesday edition of the Qlik Design Blog. Entry must be an interesting or valid Qlik highlight or discovery - if not it will be discarded and the next entry will be selected at random.

 

Contest starts Tuesday Jan 9 2018 and ends on Tuesday Jan 30 2018. We want to hear from you!

 

Enjoy!

 

Regards,

Michael Tarallo (@mtarallo) | Twitter
Qlik

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Hi Guys, we are almost at the finish line for 2017! So roll up your sleeves and get ready to show off that Qlik creativity and passion as we are ready to start accepting applications for our 2018 Qlik Luminary program. Here to tell you more is our Global Customer Communications Manager, Viktoria Lindback.


Viktoria Lindback has had many roles during her 5-year tenure at Qlik. Today, she runs global customer programs including the https://www.qlik.com/us/solutions/customers/qlik-luminaries which means she gets to spend the majority of her time interacting with the most enthusiastic Qlik users around the world.

 

If you haven’t heard of the Qlik Luminary Program yet, this is a great time to get educated about it because we’re accepting applications to the 2018 Qlik Luminary Program as we speak!

 

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Click here to see our awesome Qlik Luminary Class of 2017

 

Every year, we roll out the green carpet to a remarkable group of people who all receive the “Qlik Luminary” designation. With deep drive, passion and expertise, Qlik Luminaries are constantly pushing the envelope, finding new and innovative ways to use, deploy and talk about Qlik solutions. Some of them are BI thought leaders; others are recognized industry visionaries, business leaders, or masterful developers. But what they all have in common is a passion for innovating with Qlik and sharing their expertise with others in a global arena. You will catch them speaking at events, running Qlik Dev Group, writing blog posts, contributing to case studies, and participating in Qlik Community and other social networks. A great place to follow their work is #QlikLuminary on Twitter.

 

Here are some of the characteristics of a Qlik Luminary:

  • Passionate about Qlik and widely recognized as a BI innovator and expert in his or her field
  • Active and consistently helpful on Qlik Community
  • Active on online forums, industry social networks, and/or organizational or personal blog
  • Willing to share best practices and knowledge at industry events, forums, in the press, and with industry analysts
  • Prolific content creator who creates or contributes to blogs, white papers, reviews, articles, videos, etc.

There are also plenty of benefits to being a Qlik Luminary. They enjoy free access to state of the art Qlik training, custom merchandise, exclusive engagements with R&D, Product Management, and Support teams, membership in a private Qlik Community group, NDA briefings with Qlik product executives, and VIP treatment at Qonnections.

 

 

We are accepting applications for the 2018 cohort until December 31st here: https://www.qlik.com/us/solutions/customers/qlik-luminaries


Don't miss your chance to join a group of the sharpest brains and most skilled users in the BI industry!

 

Kinds Regards,

Viktoria (@VLindback) | Twitter
Global Communications Manager
Qlik

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