Yet, in the field of business intelligence, making information more usable--more available, understandable, and digestible--is often an exercise in simplifying the experience. We summarize information because most raw data is too detailed for us to process. We distill huge amounts of complex data into simply displayed KPIs so that humans don’t have sift through rows and columns of data for insight. And we process data through machine learning algorithms to discover patterns that would take humans years to discover. All of these efforts are intended to make the process of generating actionable insights from data simple.
Human beings prefer what is simple.
Even business users with access to nicely designed but complex dashboards often prefer the simplicity of interfacing with a knowledgeable and delightful data analyst. It's simpler to type questions into a chat window than it is to navigate content from a BI portal, where oceans of data can feel like mountains of sophisticated analytic content. For everyday business users, it's easier to ask content creators for simple answers than to search for an answer like the proverbial needle in a haystack.
This is why at Crunch Data (acquired by Qlik earlier this year), we created we created CrunchBot.ai—an AI-powered bot for conversational analytics built on Qlik’s Associative Engine.
We built what is now called Qlik Insight Bot with the idea of providing conversational access to data insights as easily as conjuring trivia and music playlists from Alexa. We believe conversational analytics will be the key to delivering value to users who struggle to adopt analytics in general, users who prefer to work with data analysts as intermediaries, and even users who only sometimes struggle to grasp new analytic content.
I have spent years working with customers to drive value from data, first as a Qlik employee, and then as a co-founder of a small consultancy specializing in Qlik-related data engineering projects. It was clear to me that no matter how well an application suited a particular set of users, there would be another set of users for whom our solutions lacked the accessibility to deliver maximum value.
At one of my favorite companies, a giant multinational corporation known worldwide for its excellent software for small business and personal tax software, we built a set of Qlik apps on data from Hyperion and other sources, and we were broadly successful rolling out this sophisticated capability and content to the finance and HR groups. Both application sets worked beautifully for their respective audiences, with a relatively high degree of data literacy and domain expertise. But when providing access to a wider contingency, specifically to budget owners and people managers, we (predictably) found that broad simplifications were required to make the applications usable.
Budget owners just wanted answers generated in a simple manner:
What is my budget?
How much budget is remaining for this quarter? How about this year?
Which employees are spending the most on travel?
Show me spend for each sales rep.
People managers wanted to ask simple questions such as:
What is my net promoter score?
How does my net promoter score compare to the entire company?
Which employees with a high retention rating are at risk for attrition?
Predict attrition be over the next 6 months?
Predictably, it was easier for new users to get answers from their finance and HR business partners than it was to find them in an application built for Finance and HR.
Instead of asking developers to create custom views tailored to the specific needs and skill sets of different user groups, the advent of AI now allows organizations to offer a conversational analytics experience to complement visual dashboards, creating a new paradigm in which users can ask any questions about their data using natural language. We designed the Qlik Insight Bot to fulfill this exact purpose--to act as an analytic intermediary, in the same way that an analytics expert might intermediate on behalf of a casual business user.
The Qlik Insight Bot is now available, allowing users to type in natural language (NLP) questions consisting of every possible combination of dimensions, measures, and visualizations. It applies machine learning algorithms to find patterns, root causes, and anomalies, then responds in natural language (NLG). It frees the data analyst from constantly serving their less analytically inclined users, it and empowers the casual business user with an easy ramp into data literacy. Users can ask precise questions directly to the Insight Bot, and the Insight Bot responds in sub-seconds with answers and analysis that might take a human analyst several hours to create. Users have access to any answered available from Qlik Sense application, and they access it in the most natural, simple way possible.
This is not to say that simplicity is enough or desirable. Users rarely lack follow up questions, and a simple question and answer session with most any other "chat bot" available is a pale, half comparison to the conversational analytics enabled by the Qlik Insight Bot.
The difference is that other chat bots are limited to superficially answer questions. The Qlik Insight Bot engages users in meaningful dialog, inviting casual users not just to ask questions, but to discover and explore a depth of insight behind answers. When a user asks a question of the Qlik Insight Bot, getting a direct answer is only the beginning of the conversation. After delivering a concise answer, Qlik Insight Bot uses the Qlik Associative Engine and AI (Augmented Intelligence) to deliver a visual depiction of the answer based on what it has learned from users asking similar questions. It then provides a natural language (NLG) interpretation from machine learning (ML) algorithms. The pattern detection and causality inferences are embedded into the response, suggesting what (i.e. what products, employees, or external factors) could be causing changes in the subject performance attributes. Notably, we are also able to infer cause from what is conspicuously absent from a trend, this capability being uniquely possible with Qlik's associative engine, a with no analogous feature in competing products
But I argue, that even this isn't enough. The unknown pundit who pontificated that "if something is made so simple that fools can use it, only fools will use it" remains unknown for good reason, but he or she did have a point.
Conversational analytics as delivered by the Qlik Insight Bot are possibly the best way, and certainly the simplest way, of engaging users in meaningful data analysis; but ultimately, depth in understanding comes from personally exploring data visually and performing one's own analysis. Expediency and data literacy may prevent some users from immediately taking the dive into visual exploration, but it's important for them to have the option. Because the Qlik Insight Bot runs on the Qlik Associative Engine, which understands and retains context, the same engine drives both visual and conversational analytics and creates a seamless experience across them. Being able to “bridge the gap”, users can enter conversationally, and the seamlessly dive into visual dashboards – in context – to explore further. The Qlik Insight Bot to persistently augments the conversation with links to the underlying Qlik apps, gently reminding its users that further insight is just a click away.
Charney Hoffmann Director, Consulting Offerings & Enablement
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If you missed the first Qlik Insider Webinar Series, do not fret - we have you covered! Log in or register for the Qlik Insider Series to access this session. Qlik Insider gives you exclusive access to webinars focused on the latest product releases and product announcements. After these quarterly sessions air on Qlik Insider, the content will be shared with the recently launched Qlik Product Spotlight portal. Qlik Product Spotlight gives you access to view a host of popular product on-demand webinars, Qlik Insider webinar content, and feature specific demo videos. We encourage you to take advantage of Qlik Product Spotlight, as it will help you stay informed on all of the exciting things possible with the Qlik product suite.
The first Qlik Insider webinar was well received and it sparked a lot of interesting questions. With that, we would like to further elaborate on some of the hot new topics and discussion items based on the Q&A panel with our team of experts.
Data! Data! Data!
The Qlik Associative Big Data Index (QABDI) is a hot topic right now, as our customers are excited that we can now provide Qlik’s Associative experience to the biggest of data repositories. QABDI offers a wide range of platform support, with more on the roadmap, such as Google Big Query. With that, the product currently supports data in parquet format and a star schema, so leveraging a product such as Qlik Data Catalyst is a great option to use before unleashing the power of the Qlik Associative Big Data Index.
Qlik Data Catalyst is now part of the Qlik portfolio, and is sold as a standalone product. This product can simplify and accelerate data cataloging, management, preparation, and delivery of business-ready data to Qlik Sense, and other BI tools. Qlik Data Catalyst allows users to “shop” for data, which they can then publish to Qlik Sense directly!
We encourage you to get involved with the Qlik Data Catalyst and QABDI community forum s to get your big data specific questions answered, and explore potential use cases with our team of experts and other Qlik enthusiasts.
New on the Scene - driving more value from our cognitive engine!
Alert - the bots are coming! Many are thrilled to get started with the Crunch Data product, now known as Qlik Insight Bot. This new product works with Qlik Sense to bridge the gap between visual discovery and conversational analytics. This product was built on top of our powerful Associative Engine and enables users to ask questions in a conversational manner, giving them the ability to dive directly into Qlik Sense apps, and deliver context-based insights (and with selection state retained). Unlike standalone products in this area, this unique product offers the best of both worlds – allowing users to enter a question conversationally and then transition to visual exploration for deeper understanding and discovery. With the Qlik Insight Bot, you can set alerts based on preset criteria, and will be alerted via email or in the bot interface itself! You will find this new product is intuitive and user-friendly, and with our machine learning capability, it will deliver insights based on Natural Language interaction via voice or text. To give an example, you could ask the Qlik Insight Bot for “sales by margin” and our machine learning cognitive engine working with the Qlik Associative Engine would search all data and apps across Qlik Sense Enterprise and either show an existing chart, or make one on the fly, if the data exists but not as a chart. You could then continue your exploration and ask a follow-on question like "tell me when sales margins fall below 10%" and it will do the rest of the work for you. Qlik Insight Bot coupled with our cognitive engine opens many new and easy ways to gain insights from your data. Look for more exciting information on this product in the coming months!
The gift of the Extension Bundle!
Have you been using extensions prior to the November 2018 and February 2019 Releases? With the release of the Visualization bundle in February, and the Dashboard Bundle in November, the recommendation is to use the extensions in the Qlik supported extension bundle, given they are out of the box and now part of the product. Like the Frito Lay’s catch phrase “no one can have just one”, once you start using one of the extensions, it will be tough to resist using other extensions that are included in the bundle.
If you have deployed any of these extensions prior to them being included as part of our Bundled strategy, it’s a great reason to start using the latest version and newly support extensions.
We are rolling out new and flexible options around deployment and licensing options including Multi-Cloud and the QlikView Dual-use licensing. Some of this information was shared during the Qlik Insider Webinar, but if you have additional questions on these topics, it’s best to reach out to your local Qlik Rep or Local Partner for more details specific to your needs.
Keep the dialog going!
We are encouraging our users to be more active and want to hear your feedback and suggestions. With this, we are investing more of our internal resources to drive product specific discussions in our Qlik Community. We want to hear from you, and we want you to get your questions answered while also inspiring your peers to get involved as well. Explore our community as well as the Qlik ecosystem to discover all the great resources and information available to you. Specifically, our Qlik product forums are a great area where you can post questions and have a dialog with our team of experts - this is your best option to have your voice heard and request product enhancements. Visit the “Ideas” section for Qlik Sense Enterprise, and tell us your thoughts!
We encourage you to upgrade to the newest release to take advantage of the new features added in February 2019 and November 2018 – Visit our download site, be sure to log in with your Qlik credentials to get the version you need!
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Data Warehouses were born of a finance and regulatory age. When you peel away the buzz words, the principle goal of this initial phase of business intelligence was the certification of truth. Warehouses helped to close the books and analyze results. Regulations like Dodd Frank wanted to make sure that you took special care to certify the accuracy of financial results and Basel wanted certainty around capital liquidity and on and on. Companies would spend months or years developing common metrics, KPIs, and descriptions so that a warehouse would accurately represent this truth.
In our professional lives, many items still require this certainty. There can only be one reported quarterly earnings figure. There can only be one number of beds in a hospital or factories available for manufacturing. However, an increasing number of questions do not have this kind of tidy right and wrong answer. Consider the following:
Who are our best customers?
Is that loan risky?
Who are our most effective employees?
Should I be concerned about the latest interest rate hike?
Words like best, risky, and effective are by their very natures, subjective. My colleague at Qlik, Jordon Morrow (@analytics_time), writes and speaks extensively about the importance of data literacy and uses a phrase that has always resonated with me: data literacy requires the ability to argue with data. This is key when the very nature of what we are evaluating does not have neat, tidy truths.
Let’s give an example. A retail company trying to liquidate its winter inventory and has asked three people to evaluate the best target list for an e-mail campaign.
John downloads last year’s campaign results and collects the e-mails of the 2% who placed an order. He e-mails the list to his boss, thinking that past behavior is the best predictor of future behavior.
Jennifer thinks about the problem differently. She looks through sales records of anyone who has bought winter merchandise in the past 5 years during the month of March who had more than a 25% discount on the merchandise. She notices that these people often come to the web site to learn about sales before purchasing. Her reasoning is that a certain type of person who likes discounts and winter clothes is the target.
Juan takes yet another approach. He looks at social media feeds of brand influencers. He notices that there are 100 people with 1 million or more followers and that social media posts by these people about product sales traditionally cause a 1% spike in sales for the day as their followers flock to the stores. This is his target list.
This is good. This is healthy. And this relies on the availability of data. That's where Qlik Data Catalyst comes in. Qlik Data Catalyst is a solution that makes data from across the enterprise available in a single catalog with the ability to order and obtain information on demand. For the data provider, this provides a simplified manner to organize data, apply security rules, and create meaningful descriptions and other metadata to increase consumption. For the data analyst, it is the simple way to get your hands on the data that you need and even discover data that you did not know about.
Qlik Data Catalyst collects data from around the enterprise including big data sets and onboards them into a consistent format. It profiles the data, tags data elements, allows for preparation of new analytics data sets, and makes all of this available in a secure self-service shopping experience. This is the way that modern analytics has to work. Businesses can no longer wait for months for the technology team to create a common physical model in a data warehouse. Rather, people want data that is a little more raw and a lot more fresh with the ability to make it their own. Qlik Data Catalyst calls this process getting data "from raw to ready".
Once this data is available, the sky is the limits. Easily publish to Qlik Sense or to the analytics platform of your choice.
Qlik Data Catalyst is revolutionizing the supply chain of data for modern analytics.
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Thank you for your loyalty to Qlik. We are honored to see our QlikView fans using and maintaining our classic BI solution year after year. We now have some great news for those of you running QlikView v11.2 – Extended Support* will expire on December 31, 2020. This is more than 18 months past our previous commitment to provide Extended Support at least until March 31, 2019.
We hope the new Extended Support expiration date will give you ample time to plan your next steps with Qlik. Whether you choose to stick with QlikView and upgrade to the latest release, adopt QlikView and Qlik Sense dual-use licensing, or dive right into a QlikView-to-Qlik Sense license remix, we’re here to support you on your journey.
We understand moving out of your comfort zone may feel like a leap of faith, but we want to assure you that the Qlik Customer Success organization is committed to delivering the resources you need to maximize your investment. Not only do they already provide assessment, architecture, education, and conversion services for dual-use licensing, but they’re currently developing new offerings to help make it easier to upgrade to the latest release.
The dual-use services offering is described in further detail here.
QlikView and Qlik Sense dual-use licensing gives you a cost-effective way for your QlikView users to adopt Qlik Sense. With dual-use licensing, you’ll benefit from the full functionality of Qlik Sense for new apps and have the opportunity to choose whether to migrate existing QlikView apps to Qlik Sense, so you can leverage its more modern approach. Featuring augmented intelligence for visualization, exploration, search, and data preparation, your Qlik Sense entitlement also delivers value-add products including: Qlik GeoAnalytics Base, Qlik DataMarket Essentials, and Qlik Web Connectors.
Please visit the Qlik downloads site for the latest release and reach out to: email@example.com to discuss Qlik dual-use and remix options. For more information on QlikView 11.2 Extended Support, check out our FAQ.
*Extended support is only available for QlikView 11.20 customers who are current on maintenance. Extended Support is not an extension of standard support and maintenance under the Qlik Support Policy. It consists only of troubleshooting and fixes that are issued as patches at Qlik’s discretion. Only severe, mission critical issues will be considered for resolution in QlikView 11.20, and there will be no product enhancements to QlikView 11.20 as part of Extended Support.
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Qlik Sense was built with the aim of delivering a best of class responsive, fluid user interface, built to be mobile-first and touch-first from ground up. With the Qlik Sense Mobile app, we deliver an experience that is seamless online and offline. Users can consume analytics and dive deep to individual data points, because we understand that today’s businesses move at the speed of thought and you can’t wait until you are “in the office” to get answers to your questions.
Over the years, as adoption has skyrocketed, large and small enterprises have struggled with questions of security and governance of their business-critical analytics, while ensuring that the user does not have to suffer a degraded experience as a result. At Qlik, we are equally committed to providing IT and governance teams with the right tools they can use to govern their mobile BI deployments, and act with confidence, when they need to. We partner with leading Enterprise Mobile Management (EMM) platform vendors, such as BlackBerry®, AirWatch®, MobileIron ® and Microsoft® to give our customers a wide range of options to choose from. You can deploy Qlik Sense on a secure browser, over a VPN, as a native app, over a per-app VPN tunnel, within a containerized app environment and more. All of this works seamlessly with SSO solutions, to ensure your users get to their analytics and insights as fast as possible. Admins can set and monitor security policies and govern access, all remotely, all this with no disruption and degradation of the end user experience.
In the February 2019 release, with Qlik Sense Mobile, we have greatly expanded these tools with support for the Microsoft® Intune® platform and Microsoft® Azure® Active Directly Authentication Libraries (ADAL) to allow for seamless SSO with cloud or on-prem active directory deployments. In addition, we have also released an Android app (offline currently not supported but coming soon!) to ensure that users can get all the benefits of a native experience on Android devices too. Finally, we have also expanded support for analytics use cases with deeply integrating mashup support within the Qlik Sense Mobile app. Developers can tag mashups to be optimized when used in a mobile device. Optimized mashups are cached locally so Qlik Sense Mobile will be able to render them extremely fast, with very little network data transfer.
We have an exciting year ahead of us and expect to continue to expand the reach of analytics across every part of the organization and use case. We would love to hear more about your mobile analytics use cases and how mobile is driving adoption and innovative use cases in your organization!
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The Qlik NPrinting February 2019 release is here and contains some exciting new features! In this release, we’ve filled one of the most highly requested gap features from Qlik NPrinting 16: the use of Qlik variables in email reports. This adds to existing variables around user information and report names, allowing you to populate both the body and subject of emails with even more dynamic content. For example, the report date can now be included in the subject line, making it easier for recipients to see exactly which report(s) is enclosed. This also enables you to include KPIs that can be evaluated as Qlik variables, removing the need to create a report template to render this type of information.
(Tip: to add variables into the subject, simply add the variable to the body of the email, and then cut-and-paste it into the subject line.)
We’ve also improved the usability of images from Qlik Sense. Due to the nature in which Qlik NPrinting renders a Qlik Sense image in reports, the responsive design inherent to Qlik Sense can affect the image output. We’ve now included two new parameters in the Qlik NPrinting Designer: data displayed height and data displayed width. These pixel values ensure that the desired range of data and axis labels are rendered for the image in the report. Images can now be scaled reliably and predictably using any of the stretch properties in the Designer.
(Tip: to achieve this in an HTML report, add the desired output size in pixels to the image tag in the template. Please note that this feature is not yet available for PixelPerfect reports.)
Additionally, admins now have greater control over whether error messages are emailed for failed reports. If you don’t want recipients to be notified in the event of a report failure, an edit to the config file will prevent these types of messages from being sent. Stay tuned for even more robust task notification controls from directly inside the Qlik NPrinting web console in an upcoming release.
Finally, Qlik NPrinting can now run in Federal Information Processing Standards (FIPS) environments via a toggle in the config file. Here is a guideline for running Qlik NPrinting February 2019 on a FIPS compliant environment.
A visual description and demonstration of these features can be seen in our What’s New in NPrinting February 2019 video. For more detail on these features, please reference our help site.
Looking forward, we remain committed to closing remaining critical gap features from Qlik NPrinting 16, including task notifications, more filtering options, and a migration tool to cover reporting elements beyond just report templates.
We’re also in the early stages of defining the next generation of reporting, which will center around increased integration into Qlik Sense, greater scalability using new microservices, and self-service in all aspects of reporting, including authoring. These promise to be exciting developments as we reaffirm our commitment and investment to enterprise reporting.
You can hear customer stories and discuss all things NPrinting with subject and product experts at roundtables and breakout sessions at our customer and partner conference, Qonnnections. You can register and see breakout sessions as they are published at www.qlikqonnections.com.
STAY IN THE KNOW ON QLIK PRODUCT INNOVATIONS - REGISTER TO BE A QLIK INSIDER!
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Do you desire more advanced visualizations with Qlik Sense or require greater mobile support with reliable security measures to expand your mobile workforce? Do you want to leave the data where it is and perform amazingly quick data exploration on your largest data sets? What about enterprise class reporting with comprehensive administrative controls?
The wait is over … Qlik Sense February 2019 has arrived! That’s right – the latest version of Qlik Sense is now live, and it is packed with new features that will not disappoint and will likely start some buzz in the market! To add to the excitement, beyond Qlik Sense, you can also get your hands on Qlik NPrinting enhancements and the open availability of Qlik Associative Big Data Index. There’s so much to get you caught up on, let’s jump right in and review some of the highlights!
To begin, following the success of the Dashboard Bundle released in November, the February 2019 release includes our next exciting extension bundle, the Visualization Bundle. This bundle includes seven of the most popular visualization extensions from our open source community. Below you will find detail on the new advanced chart types that are now available:
Funnel chart – to show progression of a measure through stages
Sankey chart – displays a measure as a flow and how the measure is divided into categories in one or more stages
Radar chart – shows a measure spread on a polar chart with two category dimensions, one for the axes and one for areas
Heat Map – shows a matrix of color values with two dimensions and a measure
Multi KPI object – shows measures with more options and customizations than the standard KPI object
Word Cloud – highlights the most common occurrences in the text dimensions
Network chart – visualizes a graph with dimensions for nodes, parents and measures
These additional chart types dramatically improve how our customers can visualize data. You can look forward to more exciting advancements throughout the year around our extension bundle strategy.
Beyond visualizations, we have made usability enhancements to the Qlik Sense UI to provide a more fluid and natural user experience, using a tabbed metaphor across data, analytics and storytelling. This change will enable fast time to insights with fewer clicks.
We continue to focus on the needs of our customers specific to enriching their authoring experience, and with this, we have added new advanced authoring features. A new addition to the Dashboard Extension Bundle, the Share Button, allows sharing of insights via a direct link that can be added to the canvas. Also, we have added new dollar sign expansion functionality to the expression editor allowing users to evaluate the results of calculations, which reduces the chances of a syntax error.
This release also includes several advancements in the mobile space, as we continue to empower the mobile workforce and drive our market leading mobile strategy. The Qlik Sense February 2019 release includes Qlik Sense Mobile app availability for Android devices and new support for mashups. We have also expanded EMM (Enterprise Mobile Management) capabilities with support for Microsoft InTune – one of the fastest growing EMM platforms in the market. We are leading the pack in mobile threat detection security, now with new Zimperium integration.
While this release is packed with some great new Mobile advancements, this is only the beginning, as this release sets the foundation to drive our ongoing mobile strategy and future roadmap.
Let’s switch gears and talk about some highly requested features and quality improvements for several of our value-added products. Let’s start with Qlik NPrinting. February 2019 provides several highly sought-after features that have been added to Qlik NPrinting, including image scaling for Qlik Sense analytics, support for variables in emails, and FIPS compatibility – making Qlik NPrinting more capable of supporting a wide range of customer requirements and use cases.
Lastly, we are proud to deliver quality improvements across the board to ensure Qlik NPrinting meets the needs of your enterprise reporting requirements.
Finally, we are thrilled to roll out the open GA of our Qlik Associative Big Data Index. Now all our customers can take advantage of this product and embrace any size data set to gain more insights across the organization. This value-added product unlocks the value of large data sets and delivers the Qlik Associative Engine to the biggest data repositories - now you can freely explore and analyze without limits. What’s even more impressive is that the Qlik Associative Big Data Index provides a governed, scalable, high-performance associative experience that can be deployed within sources such as Hadoop-based data lakes, eliminating the need to transfer and prepare the data elsewhere before it can be analyzed. With this, we are confident that big data is simply data to Qlik. Watch this video to learn more about the Qlik Associative Big Data Index.
We are off to an exciting year here at Qlik! Subscribe to our blogs and stay informed!
Check out our new Community Qlik Sense Product Forum and don't miss the "What's New" February 2019 Video !
.... and of course, log in with your Qlik ID to download the latest version!
Can't see the video? YouTube blocked by your region or organization? Download the .mp4 attached to this post to watch on your computer or mobile device.
Click here to register for the Qlik Insider Webinar to learn about this release and more
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The November 2018 release of Qlik NPrinting contains a number of enhancements to security and administration.
Within the web console, we’ve made improvements to task management . W e added specific permissions around access to the task executions page. A security role can now include permissions for users to vie w and abort tasks. This previously had been limited to the admin role but can now be included as part of a custom role to be assigned to non-admin users.
In addition, we’ve add ed a new page dedicated to on-demand reques t management . From this view, users with the proper security role can view, abort, and delete on-demand requests made by other Qlik users running Qlik NPrinting reports in either QlikView or Qlik Sense (we’ll come back to this later ! ) .
This helps prevent a single on-demand report from taking up too many resources, for example, an unfiltered report containing thousands of pages.
There are also several security enhancements in this release. Security for the Qlik NPrinting Messaging service (RabbitMQ) has been changed from plain text authentication to certificate usage (TLS communication).
We now support authentication for the Qlik NPrinting Designer when there is a reverse proxy in front of the Qlik NPrinting Server. Users will authenticate manually upon launching the Qlik NPrinting Desi gner for the first time. Cookies are collected, and the user will not have to re-authenticate until the cookies expire.
T o help prevent downgrade attacks, the Qlik NPrinting proxy can use HTTP Strict Transport Security (HSTS) header.
And we would be remiss if we did not mention the delivery of On-Demand reporting for Qlik Sense! Technically, you can run on-demand reports with earlier versions of Qlik NPrinting, provided that you upgrade to Qlik Sense November 2018 (however, you will want to upgrade to Qlik NPrinting November 2018 in order to take advantage of the new functionality around on-demand request management).
As described in this blog , the on-demand reporting extension is part of the Dashboard extension bundle . It allows users to run reports from within a Qlik Sense app , taking their selections and applying them as filters to the resulting report. The user clicks a button which will generate a pre-defined Qlik NPrinting report populated with custom data based on the selections made at the time.
The on-demand extension can be combined with the show/hide container extension also available in the Dashboard bundle. Together, you can create powerful governance over who and when users can access the on-demand reporting capability.
Here is a video showing how the extension works.
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We are thrilled that Qlik Sense November 2018 is ready for the masses! This release introduces a game-changing Augmented Intelligence (AI) capability – cognitive machine learning. Qlik is the first in the market to offer precedent-based learning capabilities, allowing our Cognitive Engine to be trained and get “smarter” over time based on user behavior and feedback, Qlik Sense artifacts, business rule definitions, and other sources. Our innovation doesn’t stop there, as additional data sources and customization options will soon be added to provide even richer insights. We have also enhanced the Insight Advisor with light authoring capabilities, giving users greater flexibly and control to customize insight suggestions. Our innovation in AI has only begun, and we will continue to transform the way users interact with machine intelligence to discover insights in coming releases. Beyond AI, we’re excited to deliver additional high-value capabilities like the introduction of comparative analysis into Qlik Sense. Like QlikView, users will now be able to define alternate states and then make selections to compare subsets of data. Comparative analysis allows users to easily compare multiple groups of values to quickly spot similarities, differences, overlaps, and outliers. Users can take advantage of associative exploration for interactive, user-driven comparison. Unlike query-based tools which pre-define sets, users can make interactive selections to define subsets of data for each group they want to compare, and then evaluate them across multiple visualizations or together in a single chart. This capability unlocks a whole new set of use cases to do complex comparative analysis in Qlik Sense. To accelerate the release cadence of new Advanced Authoring capabilities, we’re introducing extension bundling , allowing customers to take advantage of third-party extensions that are packaged and supported by Qlik. The first – our Dashboard bundle – includes 6 of the most popular extensions from Qlik Branch, supporting advanced application authoring. Included in this bundle are: Date Range Picker- allowing users to quickly and easily select dates and ranges Navigation Button– now users can quickly navigate to sheets, stories and websites; and trigger actions like selections and set variables On-demand printing– generation of Nprinting reports is now possible from the app! Tabbed container– ability to switch between visualizations with tabs Show/hide container– similar to the tabbed container, but now with show conditions Variable Input Object– now users can set values with buttons, dropdowns, sliders and input boxes This bundle, and future extension bundles will allow us to bring highly requested features to the market at a much faster pace! Other important advanced authoring capabilities to not miss in this release include exposed set analysis, making it easier for developers to create expressions with the correct set analysis syntax, along with set expression improvements in the Expression Editor dialog. You will also find Qlik Sense field settings allowing developers to enable the "always one selected value" for a particular field. The ability to always have one selected value can be used in applications that require better control for conditions in expressions, localization requirements (e.g. different languages for labels), and other guided analytics use cases that could benefit from a single value being allowed as a selection. As part of our ongoing efforts to enable digital transformations for our customers through collaboration, we are adding advanced collaboration and insight management capabilities to our multi-cloud offering - this release brings Insight Sharing. It is now possible to allow users to share links that bring the recipient back to a specific analytic selection – a simple way to share insights across the organization. Finally, we’ve further enhanced to our visualization capabilities. First, you will find an improved, multi-dimensional pie chart which allows a second measure to be depicted along the perimeter, which enables new chart types, such as a rose chart. We have also added a visualization layer to our map object, allowing pie and bar charts to be overlaid on top of maps to illustrate the distribution of values geographically. Expect more in this area with a planned visualization extension bundle on the roadmap! As always, improvements have been made around accessibility, stability and performance - Qlik Sense November 2018 will not disappoint! Take the time to view "What's New in Qlik Sense November 2018"
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