Reviews (1-25 of 154)
- Users can self-service their visualisation needs within Qlik Sense with ease. No longer are centralized analytics teams the bottleneck on new dashboards/reports.
- Qlik Sense makes stitching of data together from different sources an absolute breeze. Qlik Sense can be used as a Data Warehouse without any great difficulty. It can become your organisation's single source of truth.
- Qlik Sense APIs are extremely robust. We have been able to extend the functionality available in the UI and customize the back end to our specific needs. There are very few limits with powerful APIs at your fingertips.
- Data Lineage is difficult to determine and relies on trailing logs using 3rd-party scripts or pushing from a vendor.
- Section access (entitlements) is quite efficient, but quite often our products want a finer level of control .e.g applying across multiple different fields, enabling/disabling fields for certain users.
- I would like to see changes to the Qlik Sense load script to allow better parameterisation of functions, try/catch blocks and other behavior that comes as standard with other languages. User-defined functions should be passed to the QMC for use in all reloads, instead of loading into every script using library files.
- I would like to see an emphasis on real-time dashboarding capabilities. BDI does not solve all real-time dashboard needs. Provide ability to upsert using partial reload feature etc. We ultimately want to treat in-memory dashboards like a relational database.
- Processing speed.
- Ease of use.
- Seamless Integration SQL.
- Limited appearance options.
- Poor ability to filters and other objects on the page.
- No bound box features for tables or other charts.
- Limited QMC functionality (e.g. Export).
- Poor viewing capability when viewing many applications for a stream.
- Poor support for branch plugins.
- Viewing and slicing SQL data sources
- Simple UI vs. Development in .NET or SAS reporting
- Business users with limited BI training
- Qlik associative engine.
- Augmented intelligence.
- Self-service BI.
- Enhancement through extensions.
- More functionality on Pivot Table.
- More charts and graphs.
- Dynamically increase in font while using the dashboard on big screen/projector.
- Great visualizations
- Drilling down and finding correlations
- Questions that were not asked
- Working with large data sets might be slow.
- QVD "chaining" is not straightforward.
- Better support on the on-demand apps generation.
Manufacturing - Measure customer claims, run rate
Sales - Used for sales and margin reporting at SKU level
Procurement/Finance - Tracking spending
- Data modelling is very good. One doesn’t need to explicitly define the joins between different data sets, as Qlik Sense associative model takes care of it.
- Highly customisable. Using the variable editor allows a user to define simple to complex formulas.
- Filters do not need to be defined separately. All the dimensions of the data set can be used as filters without any extra steps.
- Customisation of colors on charts and tables without coding.
- Include Sparkline charts within tables.
- Add discussion or commentary feature for improved collaboration.
- Include what-if scenarios and predictive analytics out of box.
- Allow planning and forecasting activities where users can enter data.
- Allows rapid, intuitive development of dashboards and reports.
- Has a rich palette of presentation scenarios.
- Scripting language allows for precise customisation to meet end-user requirements.
- Integral documentation could be improved.
- Embedded user help could be better.
- Stories based on current query data set with the ability to interact would help.
- Dashboard creation is easy.
- Lots of built in KPIs and visualizations.
- Aggregation of data from various sources.
- Documentation is lacking especially around more advanced concepts like parameter usage and set operations.
- The KPI/Visualizations import feature should tell you about compatibility issues at import.
- Inbuilt ETL capability is exceptional so you don't need to have separate DWH.
- You can connect with any type of data source if you have a connector .
- Quick UI will help you to deliver fast.
- Self Service has the capability but the user should have basic SQL knowledge.
- Its UI is not good when compared with Tableau.
Next to this, we use Qlik Sense as a BI tool for business cases, budgeting, and forecasting. We have management dashboards, but also in-depth, drill down dashboards for specific departments.
- Ease of use. We do not have programmers or data analysts in house, but we have managed to create our own Qlik Sense environment with just a little bit of consultancy support.
- Frequent, very useful updates with always fresh and trendy stuff that can be used instantly.
- Speed, connecting with databases, SQL or external sources is a piece of cake. Loading & indexing data is incredibly fast.
- Pricy analyzer licenses.
- Lack of local support and consultancy companies nearby (Romania).
- Beautiful charts
- Ease of use
- Associative model
- Ability to resize the text generated in the charts should be added.
- Ability to create stories from different apps should be added. Sometimes I want to create stories that combine, for example, my sales apps and my operation apps.
- Data modeling is incorporated in the product, allowing for a "no warehouse" approach to smaller reporting solutions. This means we can get off the ground with new reporting projects (or replacements of currently manual processes) without cross-organization coordination, and our analysts don't have to become experts in multiple tools to deliver useful outputs.
- The Data > Analysis > Story workflow allows for precise analysis reports/commentaries on specific areas, with the ability to drill back to the analysis screens for broader exploration.
- Without much thought at all, simple data models just "happen". With proper design, complex data models function well, too. Data processing within Qlik Sense data files happens dramatically faster than the equivalent processing on our Oracle database servers, meaning we can pull raw data in bulk and process it more quickly in Qlik Sense, removing the need for a lengthy warehousing time slot in our nightly database schedule.
- Visualizations can be difficult to customize. For example, while it's possible to select specific colors for chart items, it's not immediately obvious how this works, so there's either a bit of a learning curve for what's a basic task in any other tool, or you end up with every report following the Qlik default scheme. This isn't just an aesthetic preference; color can be crucial in guiding a user through a series of complex reports, and Qlik makes this harder to manage than some other tools I've used (though not impossible).
- Selecting a reseller is more opaque than it needs to be. We happened to land on an excellent reseller when re-procuring our licenses, who brought with them a whole approach to modeling data in Qlik Sense which we otherwise wouldn't have known about, and which, despite the licenses costing about the same, has saved us months of development time. Other customers will presumably be less lucky.
- I'd really like it if my having purchased the QAP license for publishing dashboards externally meant I was also covered for my internal customers. As it is I still have to buy "viewer" licenses for internal users. If we weren't already locked into the Qlik Sense contract because we've already made the big payment and are now only paying maintenance, it would be hard to justify buying this product over cheaper competitors. I still think it's a good product, but in ways that it's hard to articulate in a local government procurement process.
- Reducing manual transactions for end users.
- It allows end-users to quickly drill down into data to spend more time addressing problems rather than trying to find where they are.
- Allows the consolidating of data from multiple sources.
- Not everything is intuitive, requires experience and training to get the best out of Qlik and create good data models and dashboards.
- The dashboards themselves are not the most aesthetically pleasing compared to other software packages that are available.
- There are limited options to customise the look and feel of dashboards.
It is excellent for eliminating manual transactions in situations where end users are regularly analyzing data from the same sources but need up to date information.
It is not a plug and play solution and does need some experience or training to be able to develop good data models and user-friendly dashboards. End users themselves will also need basic familiarisation in using dashboards.
It's been used as an analytical and reporting platform under full control of the business group/department to allow rapid development and iteration. The relatively small scale of the deployments (20-40 users each) has allowed this approach to work well and provide value. In addition to reporting use cases it has been useful for open-ended analysis.
- Qlik/Associative Engine - The data processing engine almost always performed extremely well. Many apps were around 50 million records with many fields with some over 100 million. Having this amount of data available to a moderate number of users for parallel, interactive/real-time analysis was quite powerful. Especially, because it was running on relatively inexpensive hardware without any effort expended on tuning or optimization.
- Built-In ETL - Having the option of connection to many data sources, and manipulating them with the load script proved to be extremely convenient and allowed quick development. There was a learning curve, and the script forced data processing to proceed in a particular way, but having the optionality was valuable. This allowed the development of end-to-end solutions without any back-end infrastructure and in many instances, none was ever needed.
- Fully Web-Based Development and Administration - Being able to do all development and administration via a web interface was a nice feature as it avoided having to install a desktop client, upload files, etc. Combined with the hub and the ability to copy app and sheets made the whole experience very fluid. In a very large scale deployment access to this would have to be managed carefully, but in our instances we could leave it open.
- Front-end control - In general Qlik Sense has provided less front-end/user interface control than the late versions of QlikView. Over time Qlik has increased the amount of control available to developers without having to resort to custom objects, but it has been a source of frustration. Every release does improve on this, but it still needs work.
- Information Density - In our environment, non-retail financial services, the typical need is for high-density reports/displays on desktop. This is one of the reasons Excel is so popular; it allows users to build high-density reports for themselves. It seems as though Qlik Sense was initially designed with tablets in mind, which resulted in a lower density than ideal. This in the process of being remedied with additional front-end control.
- Version Control - There was no easy way to version control data and application logic. This feature isn't something commonly available in this space, but would be very useful in running and controlling the platform. It's easy to generate many apps and data sets in the development and maintenance process and lose track.
We did not use NPrinting, but I could see Qlik Sense perhaps not being the ideal solution if all that's needed are static reports. Many of its beneficial features wouldn't be used in that situation.
One aspect of Qlik Sense Enterprise that could make it more or less appropriate to any given situation is that it's a technically sophisticated product that really rewards a highly technical approach. It provides many deployment and usage options that may not be apparent to purchasing managers and pure end-users. You may not be in a situation to be able to fully take advantage of this.
- Full ETL - form Raw Data, through Data Transformation, to Data Models.
- Super easy to use front end. The associative experience is great. The simple green, white, gray give our users the ability to just get in and start analyzing the data. Almost no user training is needed. The front end is super intuitive.
- Self Service capabilities are great, easy to use and require minimal training.
- Qlik Sense still lacks some of the capabilities of QlikView which is a bit frustrating.
- Qlik Sense has no inbuilt advanced analytics capabilities.
- Qlik Sense still has a room for improvement around the integration with other Qlik products like NPrinting, Data Catalyst, Attunity. Now, these are all separate products and this makes it a bit difficult to maintain.
Qlik Sense Scorecard Summary
Feature Scorecard Summary
About Qlik Sense
Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. Built on Qlik’s unique Associative Engine, it supports a full range of users and use-cases across the life-cycle from data to insight – with self-service analytics, interactive dashboards, conversational analytics, custom and embedded analytics, mobile analytics, and reporting. The solution comes in three different editions - Qlik Sense Enterprise, Business, and Team. Qlik Sense can be deployed in the cloud or on-premises.
Qlik Sense sets the benchmark for third-generation analytics platforms, empowering everyone in organizations to make data-driven decisions. People of all skill levels get unmatched analytical power, with unique associative exploration and search, AI-powered insight suggestions, AI-accelerated creation and data prep, advanced analytics integration, and natural-language, conversational interaction. They can easily share and communicate the insights they discover and get answers anywhere they work – with fully interactive and secure online and offline mobility. And for the enterprise, you get a true platform with open and standard APIs for customization and extension, powerful data integration and connectivity, centralized management and governance, and a Kubernetes based SaaS / multi-cloud architecture driving scalability across combinations of on-premise, private, and public cloud environments.
Qlik Sense Screenshots
Qlik Sense Videos (12)
Watch Try a Qlik Sense App
Watch Qlik GeoAnalytics
Qlik Sense Downloadables
- Qlik Sense Data Sheet Qlik Sense® is our governed, next-generation visual analytics product, supporting a full range of BI use cases for individuals, groups, and organizations, including self-service visualization, centrally deployed guided analytics apps and dashboards, custom and embedded analytics, and reporting. Business users of all types and skill sets get powerful, flexible visualization and discovery on any device, all within a governed framework that drives enterprise scalability and trust for IT.
- Qlik NPrinting Qlik NPrinting is Qlik’s next-generation reporting and distribution solution, helping spread knowledge and insight across the organization and beyond. This data sheet provides an overview of the product and its capabilities for report creation, distribution, and enterprise deployment.
- Qlik's Statement of Direction
- Qlik Insight Bot The Qlik Insight Bot provides an AI powered, conversational analytics experience, giving people a faster and easier way to ask questions, generate insights, and make data-driven decisions using natural language. It can be readily accessed from within Qlik Sense as well as through popular collaboration tools such as Slack, Skype, Salesforce Chat, and Microsoft Teams. Natural Language Processing (NLP) automatically trains itself and learns from user inquiries over time, and Natural Language Generation (NLG) delivers insights for not only what is happening, but also why – and where to go next. Insights include auto-generated charts, interpretations, key drivers, period-over-period calculations, predictions for measures, and even comparative analysis. Users can set alerts for KPI thresholds, share and collaborate conversationally, and even interact using voice – with Amazon Alexa integration.
- Qlik APIs A short data sheet describing the Qlik Sense APIs
- Qlik Data Catalyst Qlik Data Catalyst™ is a modern enterprise data management solution that simplifies and speeds up how you catalog, manage, prepare, and deliver your trustworthy, actionable data to business users across your enterprise.
- Qlik Scalability Tools
- The Qlik Associative Big Data Index The Qlik Associative Big Data Index delivers Qlik’s associative experience on top of Big Data, allowing users to freely explore and search Big Data repositories while leaving the data where it resides. This capability provides a governed, high-performance associative engine 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.
- Qlik Connectors
- Qlik Analytics Platform - the power of the Qlik® Associative Engine and visualizations in the hands of application and web developers through powerful, open, and modern APIs – allowing you to see all the connections among all the values in all your data.
- Qlik Core - With Qlik Core, you can take advantage of Qlik's powerful associative engine to build, extend and quickly deploy custom interactive data-driven solutions that are highly scalable and cloud-ready. And built for Linux and running in a Docker container, Qlik Core applications can easily be embedded into any stack, IoT device, process, application, web page, or portal.
Qlik Sense Integrations
Qlik Sense Competitors
- Has featureFree Trial Available?Yes
- Has featureFree or Freemium Version Available?Yes
- Has featurePremium Consulting/Integration Services Available?Yes
- Entry-level set up fee?Optional
|On-premise Edition||Pricing Details||Terms|
|Qlik Sense Perpetual||$1,500||1-50 users|
|SaaS Edition||Pricing Details||Terms|
|Qlik Sense Subscription||$840||1-50 Users|
Qlik Sense Enterprise: Perpetual license basis, based on number of users Qlik Sense Enterprise: Subscription, based on number of users Qlik Sense Desktop: FREE Qlik Sense Cloud: FREE
Qlik Sense Support Options
|Free Version||Paid Version|
|Video Tutorials / Webinar|
|YouTube - https://www.youtube.com/playlist?list=PLdnQXZq2xRoAnbUOZl6fueHxRkZs8f5a8|
Qlik Sense Technical Details
|Deployment Types:||On-premise, SaaS|
|Operating Systems:||Windows, Linux, Mac, Kubernetes|
|Mobile Application:||Apple iOS, Android, Windows Phone, Blackberry, Mobile Web|
|Supported Countries:||Americas, EMEA, LATAM, APAC|
|Supported Languages:||The Qlik Management Console is English only. The Qlik Sense client supports the following languages: English, German, Spanish, French, Italian, Japanese, Dutch, Brazilian Portuguese, Russian, Swedish, simplified Chinese, Polish, Turkish, Korean, and Traditional Chinese. The language Qlik Sense uses depends on the language preferences of your browser. The default reading order in a Qlik Sense app is left to right. You can change the reading order to right-to-left in your app preferences if your data or labels are in a right-to-left language such as Arabic or Hebrew.|