Several major changes have recently been made to the QlikView and Qlik Sense Dual Use Licensing offer. These changes make Dual Use Licensing more flexible, easier to qualify for and simpler to implement.
First, we’ve opened-up a subscription option, which accommodates a Capacity licensing model for greater flexibility, so you don’t have to worry about the complications associated with a mixed site (perpetual and subscription). You’ll be able to leverage new functionality sooner and adopt a more unified approach to Qlik product usage. And now, to leverage Dual Use licensing, you can either convert Session and Usage CALs directly to subscription to take advantage of the Capacity model or convert them to Named User and Doc CALs then to the standard Professional and Analyzer licensing model for Dual Use.
QlikView Customer Journey -- Dual Use Licensing
To utilize Dual Use under subscription, there is a 40% uplift on annual QlikView maintenance for a 3-year term. Under the perpetual model, Dual Use licensing is available for a 30% uplift on your annual QlikView maintenance.
We’ve also removed the July 1, 2018 offer cut-off date to make it easier to qualify for QlikView and Qlik Sense Dual Use Licensing. This means, regardless of QlikView version or when you initially purchased QlikView, you are eligible* for the Dual Use offer, so long as you’re current on maintenance (Federal and accounts with Enterprise License Agreements continue to be ineligible). Additionally, you are not required to upgrade your release, though we strongly encourage you to use the current version to leverage Professional, Analyzer, Capacity licensing; unified licensing (described further below); and QlikView links in Qlik Sense Enterprise on Qlik Cloud Services and Kubernetes. Conversion to Dual Use remains a one-time event.
Unified licensing, available with QlikView and Qlik Sense April 2019 releases, aligns licensing of QlikView and Qlik Sense, entitling users to both products using a single license key enabled by the Qlik Licensing Service (QLS), to simplify Dual Use adoption. Unified licensing supports Qlik’s one user, one license, one analytics experience vision (formerly known as 1x1x1), with the goal to deliver a single access point for both QlikView and Qlik Sense, bringing the products closer together. Functionality providing greater alignment between products will be delivered later this year.
Qlik Dual Use Services help simplify Dual Use adoption preparing you to maximize your investment, whether creating new apps in Qlik Sense or transitioning existing apps from QlikView to Qlik Sense.
Furthermore, our new version of the QlikView Governance Dashboard provides a Sense Profile Score to answer questions about different QlikView app characteristics. More information can be found in this blog post. This app can be downloaded for free from the Qlik download site.
Contact your account manager for more information on QlikView and Qlik Sense Dual Use licensing.
*Exceptions: CPU Cores or IAS Server licenses
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We recently released updated functionality within the QlikView Governance Dashboard and the Qlik Sense License Monitor to provide greater insight into QlikView app characteristics and license usage for customers leveraging Dual Use Licensing.
The QlikView Governance Dashboard now includes a new Sense Profile Score, which gives customers an easy way to determine how compatible and convertible their QlikView apps are with Qlik Sense. This supports planning and implementation efforts of app migration from QlikView to Qlik Sense. The Qlik Sense Profile sheet displays the following scoring:
User Adoption: How frequently and how recently each app was used (grading based on the past 90-days)
Object Density: Number of sheet objects by sheet in the QlikView app (more than 12 may be difficult to re-create in Qlik Sense)
Object Compatibility: How many sheet objects in each app are not compatible with Qlik Sense.
Sense Profile: A composite score comprised of weighted User Adoption, Object Density, and Object Compatibility scores.
Plus, Unused Sheets by app indicates which sheets you should consider removing before re-scoring and prioritizing for Qlik Sense migration. And Custom Configuration of profile scoring provides a threshold and relative weight within each component of the Sense Profile Score. You can find the QlikView Governance Dashboard on the Qlik Download Site by logging in.
Governance Dashboard - Sense Profile Score
The Qlik Sense License Monitor now allows Administrators to holistically monitor their Qlik Analyzer and Professional license consumption across both Qlik Sense and QlikView. This gives organizations the ability to answer questions such as, “Are we running out or licenses?” or, “What is the history of usage?” A bonus is that this is done at an aggregate level, which is in full compliance with GDPR regulations on personal data.
Qlik Sense License Monitor
These capabilities signify another milestone toward bringing QlikView and Qlik Sense closer together. By supporting Dual Use Licensing and providing a unified license key, Qlik is driving toward a one user, one license, one analytics experience vision culminating in the delivery of a single access point for both QlikView and Qlik Sense.
Visit the Qlik Monitoring & Administration community group for further discussion on these topics.
More news to come later this year. In the meantime, visit the QlikView Customer Resources web page for more information.
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What is it?
The Emergency Response Drone demonstrates how the Qlik platform and our approach to Augmented Intelligence can assist emergency responders to ensure units respond efficiently based on observations from multiple data feeds including drones and other sensors. The drone detects objects and sends them to the Qlik Core web application. This application allows the 911 Operator to make decisions based on data from the field in order to provide appropriate recommendations of which units to deploy. The drone has an onboard camera which recognizes and tracks the people, cars and hazardous material involved in an incident – in this case a multi-vehicle collision. This data is being aggregated in Qlik Core which is also running locally on the drone in order to calculate a risk score. The risk score is used to automatically recommend which resources should be sent to the scene of the incident.
Qlik Core app providing response recommendations to 911 operator
The Emergency Response Drone is an industrial-grade DJI hexacopter with an AWS DeepLens camera as payload. The DeepLens is an Amazon edge device that leverages deep learning AI. We run Qlik Core inside a Docker container on the camera. Data is streamed to the Qlik Core web app via the cloud. Our Qlik Core web app leverages the same Qlik Associative Engine we all know and love to provide responders with fast and efficient recommendations.
How does the AI detection work?
The DeepLens runs a type of convolutional neural network called a Single Shot Detector which can quickly identify multiple objects and return bounding boxes of where each object is found in each frame of video. It leverages a resnet-50 architecture and was finetuned from Imagenet which is a popular base model that can classify 1000 different types of objects. For this project, we wanted to detect specific objects such as hazardous material placards and paramedics which weren’t in the Imagenet model. We also wanted to improve the accuracy, so we used annotated images from the video of the collision. We wrote a custom add-on to Adobe After Effects in order to leverage their motion tracking in order to produce the annotation files. Our model was trained with roughly 5000 labeled images and another 1000 images were used to validate the model. Through hyperparameter tuning and brightness/contrast/color augmentation, we were able to achieve over 80% mean average precision. The training was performed using AWS Sagemaker. Sagemaker helps facilitate deep learning through Jupyter Notebooks and S3 storage.
How does Qlik Core work?
Having this information from the Qlik drone can help shape the response plan by sending specific types of resources to the emergency while not over-prioritizing the response, which ensures responders have the capacity for other emergencies that might occur. Data from the drone and emergency response vehicles are later uploaded into the Qlik Sense application in the cloud for post-incident analysis.
Qlik Core app providing Incident Commander improved situational awareness
What else can this be used for?
In addition to this multi-vehicle collision scenario, this system could be applied to many other use cases. We’ve already begun discussing the potential of using this to assist responders during massive floods. We have also explored how this could be useful in several humanitarian efforts such as assisting woman and children with foraging for firewood and monitoring water holes near refugee camps.
Ottawa Flood application by GINQO
This project took a lot of effort from a large team. We are very grateful for all the work from the following people and agencies: Qlik (Todd Margolis, Aiham Azmeh, Elif Tutuk, Chuck Bannon, John Trigg, Anthony Alteraic, Robin Muren, Johan Persson) City of Ottawa (Deputy Chief Greg Furlong, Project Manager Rebecca Anderson, Ottawa Paramedic Service, Ottawa Fire Services, Ottawa Police Service) GINQO (Martin Curtis, Mike Ellis)
This is only the beginning for the Emergency Response Drone and the impact it will have. More to come on this innovation and how Qlik continues to make a difference with our commitment to social responsibility and global humanitarian efforts.
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Hopefully you’ve had a chance to learn about the latest exciting innovations we’ve made with our multi-cloud strategy in our April release. It included all of the capabilities needed to deploy Qlik Sense Enterprise entirely on Qlik Cloud Services (enterprise SaaS), as well as in a private cloud with Kubernetes, and/or in a hybrid scenario that combines both on-premise and cloud environments. Today, we offer you unparalleled choice in how you deploy analytics and migrate to the cloud. Most importantly, we are committed to supporting you on your cloud journey with you, whatever form it may take.
At Qonnections we really enjoyed hearing your questions and feedback. Based on what we heard, here’s a recap of the top five things you need to know about Qlik Sense Enterprise on Qlik Cloud Services:
It’s Qlik Sense Enterprise: Qlik Cloud Services is simply a deployment option for Qlik Sense Enterprise - not a separate product, not a separate license. By deploying on Qlik Cloud Services, you’re getting all the features and value of Qlik Sense Enterprise – associative difference, augmented intelligence, collaboration, etc. – without the infrastructure costs; managed by us. If you are already running Qlik Sense Enterprise on Windows you can add this SaaS option to your deployment today.
Containers are key – the foundation of Qlik’s multi-cloud strategy is a cloud-native, Kubernetes-based architecture. This architecture facilitates not only general scalability, but also more efficient, elastic scale that utilizes resources only when you need them and helps lower your total cost of ownership. It also allows portability across multiple environments, enabling the ability to run multiple environments in one deployment. And, it provides a great, long-awaited deployment option for Linux users, since Kubernetes can be installed on Linux operating systems.
A reinvented user experience – cloud analytics use cases demand broader self-service, collaboration, and consumption. With that in mind, we made some design updates to give the right users simplified management and control. Content management features are available right in the cloud hub, enabling individuals more control over how they organize content. In addition, the new cloud management console eases site management for administrators. And shared spaces, a new workspace paradigm, allow developers to easily co-create content together.
It’s already part of your subscription – if you have a Qlik Sense Enterprise subscription, you have access to all three deployment options for Qlik Sense Enterprise – Qlik Cloud Services, Kubernetes, and Windows. The cost to deploy on our cloud and leverage our resources is included in your subscription.
It’s not Qlik Sense Cloud Business: our April release includes all of the features you need to deploy Qlik Sense Enterprise on our cloud or yours. But, we know many of our Qlik Sense Cloud Business customers are eager to use the new cloud hub and benefit from the performance of our new architecture. Stay tuned for updates coming soon about how we’ll help you transition to a new Qlik Sense Business SaaS offering.
The most important thing we want you to know is that Qlik Sense Enterprise on Qlik Cloud Services is available for you now.
Check out the video below by our own Mike Tarallo who takes you on a tour of some of the latest features and content management capabilities available in Qlik Sense Enterprise on Qlik Cloud Services.
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We are pleased to unveil QlikView April 2019, which you may recognize as being outside our typical QlikView release cadence. This release coordinates with the Qlik Sense release because the functionality included with QlikView April 2019 takes a major step in bringing QlikView and Qlik Sense closer together.
Core to our strategy is to drive Qlik Sense adoption across the QlikView user base. Qlik Sense is an ideal end-to-end modern analytics platform for QlikView users developing new applications and for new use cases.
The April 2019 release includes unified licensing, which gives each user a single key to access both QlikView and Qlik Sense, particularly valuable to those who have taken advantage of dual-use licensing. Unified licensing reduces license management challenges and improves compliance 1 . Furthermore, through compatibility with the Qlik Licensing Service, customers have an increased level of visibility into Qlik license usage. And, updates to the April 2019 Qlik Sense License Monitor give organizations better management across both products.
This release also includes the ability to link-to QlikView apps through a common portal within Qlik Sense. Users of both solutions can simply access the Qlik Sense Multi-Cloud Hub and launch their QlikView app on a QlikView server. QlikView Links within Qlik Sense Finally, April 2019 brings the introduction of a new App Profiler within the QlikView Governance Dashboard. The App Profiler answers questions about different QlikView app characteristics, so you can identify which would be the most viable candidates for migration to Qlik Sense. Answer questions about apps most-frequently used, complexity, and compatibility with Qlik Sense. You may also configure thresholds corresponding to the App Profiler’s findings. QlikView Governance Dashboard -- App Profiler
Additional functional updates driving product unification are planned later in the year. You can download QlikView April 2019 here. Follow this blog for more information.
You must be on QlikView April 2019 and Qlik Sense April 2019 releases or later to leverage unified licensing.
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Qlik Sense April 2019 sets us apart from the competition with significant advancements to our multi-cloud capabilities and the introduction of our new market leading AI offering, Associative Insights. This release continues to support our position as a leader in the market and the only BI & Analytics solution that supports the diverse needs of customers looking to execute their cloud strategy and push the boundaries with Augmented Intelligence.
Check out the live What's New Demo app
Learn what's new in this brief video:
To begin, Qlik Sense April 2019 introduces a new Enterprise SaaS deployment option, running on our multi-cloud Kubernetes architecture and giving our enterprise customers more flexibility and choice on where they deploy Qlik Sense Enterprise. This new capability allows users to consume, create and reload apps directly on Qlik’s hosted SsaaS cloud environment, Qlik Cloud Services, and also allows them to deploy Qlik Sense Enterprise in their own public or private cloud infrastructure using Qlik Sense Enterprise on Kubernetes. No matter which deployment option(s) you choose, you get all of the benefits of Qlik Sense Enterprise. All deployment options for Qlik Sense Enterprise – including Qlik Sense Enterprise on Windows – work cohesively as part of a multi-cloud deployment framework.
You will also find in this release the much-anticipated augmented intelligence capability - Associative Insights. This unique and powerful new feature combines our associative and cognitive engines to suggest hidden insights in data for users to explore. Our Associative Engine uniquely identifies the data values that are unrelated to your selections, and our Cognitive engine can now analyze those unrelated values and reveal the most significant insights that might have been overlooked. Associative insights, provides users with peripheral vision, and prompts them to ask additional questions to bring about new, and potentially transformative, discoveries across data sets.
With this release, we are also including several new QlikView features, making it easier for our QlikView customers to adopt Qlik Sense for dual-use. This includes a new unified licensing capability, which allows organizations to unlock both QlikView and Qlik Sense with a single license key, and integrated links to QlikView apps from select Qlik Sense environments. Providing a central hub for users to access both QlikView and Qlik Sense apps. These features make it possible for organizations using QlikView to add Qlik Sense and take advantage of our latest innovations. We continue to add new and improved visualizations and mapping capabilities, such as:
Bullet chart - great for tracking goals and showing targets combined with color banding to depict your defined ranges in a clear and organized fashion
New Bar & Area chart – a variant of the standard bar chart giving more flexibility when applying labels to stacked bar charts, showing percentage differences or showing dimension values on the bars.
And, our native map chart now has a new background layer that can use any image as a map background. This is great when using custom drawings that require GPS coordinates to analyze specific dimensions – specifically things such as: floor plans/space layouts, hardware positioning, parking grids, stadium seating, transit routes, and much more.
We have also released a new iOS app - Qlik Sense Mobile for Blackberry client, which is a containerized version of Qlik Sense Mobile supporting advanced management and security for BYOD (bring your own device) environments.
We have added new task notifications to Qlik NPrinting, allowing greater efficiency for administration as well as extended Qlik Associative Big Data Index functionality with additional "live" mode aggregation options in a KPI object, e.g. sum/min/max/avg. As mentioned, all of this content, and much more, will be featured at Qonnections, which is just a month away!
The more you understand about what’s possible with our platform, the more you and your organization can benefit from it. Register now for our May 29 Qlik Insider session for a live, exclusive look at the Qlik April 2019 release, including the newest features and extensions to our platform.
Please download the latest product releases from our customer downloads site and let us know what you think in the comments below!
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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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