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Data visualization has become faster and flexible and now enables quick multi-source reporting
What is our primary use case?
Qlik Sense is used primarily for dashboard creation and data visualization. Wherever there is data slicing and dicing, Qlik Sense is used for this purpose.
How has it helped my organization?
Different infrastructure products are used for applications and mobile applications. The use case involves data warehouse products that use data pipelines to connect with different databases and use a reporting tool such as Qlik Sense.
What is most valuable?
The best part of Qlik Sense is that you can upload any data and visualize it. You can create a lot of charts and graphs using the data on the fly, and you can visualize data. Qlik Sense also provides support to integrate with many data sources available in the market. The true power is in the ability to connect with any database, get the data, and work with the data.
Qlik Sense comes with a data engine to explore data freely. You can connect with any data store or upload an Excel file and visualize the data in Qlik Sense. Qlik Sense has implemented AI capabilities, although I have not explored many of those capabilities.
The main benefits Qlik Sense provides are quick turnaround time. You can connect to data sources, quickly create reports, and then quickly go online.
What needs improvement?
Qlik Sense is very easy to use, but sometimes integration is a bit challenging. In our case, we wanted to integrate the cloud version of Qlik Sense, and Qlik Sense is not supporting the on-premises version, so we moved to the cloud version. We had a lot of challenges when integrating Qlik Sense SSO with the reports that we wanted to show on our web app or mobile app. There were a lot of challenges along with that, but eventually, we overcame those challenges, and things are working fine now.
The integration part is one point for improvement; it could be more simple because I found some complexities with it. The single sign-on part is a little tricky and is not straightforward. We have done multiple rounds with their technical team, and although it got resolved later on, I think that it could have been better.
For how long have I used the solution?
We started working with Qlik Sense about four years back. I worked on that project and then moved to another project. Recently, we started with another project.
What do I think about the scalability of the solution?
Scalability and availability are very important for any company when we talk about the scalability architecture of Qlik Sense. The reports connect with multiple datasets and databases, and once it loads on your screen, it should be quick, fast, and scalable. That is very important for us.
How are customer service and support?
I would rate technical support from Qlik as a nine on a scale from one to ten.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
Qlik Sense was chosen instead of Power BI because we strategically decided a long time back to onboard Qlik Sense, around four or five years back. At that point, Power BI was also good, but it had issues connecting with multiple databases and generating reports. Qlik has the NPrinting solution, which we thought was good. Qlik Sense was providing us the on-premises version, which was cheaper. Now that they have moved to just the cloud, they are not supporting the on-premises versions, so I think they are comparable with Power BI now.
Which other solutions did I evaluate?
There are products such as Power BI that are one of the main competitors of Qlik Sense.
What other advice do I have?
I do not have suggestions for additional functions they can add to Qlik Sense.
For now, we are satisfied with the functionality of Qlik Sense; whatever we required, it is pretty much there. We are pretty much satisfied with the reports that it is able to generate.
Qlik Sense was purchased directly from the vendor, but I am not involved in the purchase process.
MongoDB is one database that we use. We have PostgreSQL DB that we use for daily activity. For NoSQL, we use MongoDB, and for SQL, we use PostgreSQL DB.
We are mostly using AWS infrastructure right now, but we are exploring some of the AWS products also, and we use some products from Azure, such as Entra for our SSO.
I would give this review an overall rating of eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Unlocks actionable insights through user-friendly analysis features
What is our primary use case?
The main use cases involve getting data in an analyzable format. Clients should be able to analyze it through a self-service tool, which is why Qlik Sense was the better choice. Self-service is the primary use case they had as clients wanted to perform self-service analysis.
Additionally, they wanted to automate workflows along with the analysis. They aimed to have action-driven analysis, focusing mainly on dashboard analysis and automated workflows depending on the analysis they perform.
What is most valuable?
The self-service capabilities that Qlik Sense offers are significant. They offer natural language processing, allowing users to ask questions in layman language, and Qlik Sense will create charts and narratives automatically. Users can access any dashboard developed in Qlik Sense from familiar portals such as Okta or other company portals through embedding features.
The integration with chatbots, particularly Microsoft Teams, allows users to access dashboards and ask questions directly within Teams. The collaboration feature enables users to share analysis by taking snapshots and tagging team members within the Qlik Sense interface, eliminating the need for lengthy emails or screenshots.
The storytelling feature allows users to create presentations directly in Qlik Sense using dashboard analysis, making it easier to answer questions during meetings. The subscription feature enables users to receive charts and sheets via email instead of navigating to the dashboard, facilitating monitoring purposes.
Qlik Sense offers alerting capabilities where users can set thresholds for KPIs and receive notifications when these thresholds are reached. The platform also includes AI/ML features for predictive modeling through a no-code component, allowing business users to create and deploy AutoML models without depending on data scientists.
The Qlik Answers component, featuring generative AI capability, enables users to get answers from unstructured data including Excel, HTML documents, or Microsoft Word documents by creating a knowledge base.
The user-friendly interface operates on a drag-and-drop approach, with Qlik Sense suggesting appropriate charts based on selected dimensions and measures. The associative engine capabilities allow data association between tables, implementing selections across related tables. The platform uses a color-coding system (white, gray, and dark gray) to show related, excluded, and unrelated data selections, providing insights beyond traditional BI tools.
What needs improvement?
The support aspect could be improved, particularly in terms of response time for high-priority issues, especially when dealing with production environment client issues that require immediate attention.
Qlik Sense Cloud pricing is relatively high. While on-premises versions work with user-based licensing effectively, the cloud version's capacity-based pricing needs more clarity. There should be more comprehensive documentation and explanatory videos available to help clients understand and calculate capacity-based pricing, making it easier to predict costs before implementing Qlik Sense Cloud.
For how long have I used the solution?
I have been working with Qlik Sense for 10 years.
What was my experience with deployment of the solution?
I have not encountered any deployment issues.
What do I think about the stability of the solution?
It is pretty stable.
What do I think about the scalability of the solution?
Qlik Sense helps analyze data and can handle larger amounts of data compared to other BI tools. Qlik Sense has never had issues related to large data sets. For deployment options, it works in two ways: on-premises and Qlik Sense Cloud. Qlik Sense offers a public cloud where dashboards can be hosted, which is becoming the more feasible option that most organizations are choosing.
How was the initial setup?
Setup has always been straightforward. The Qlik Sense help site provides comprehensive information for setup support.
What other advice do I have?
Most organizations had scattered data across many legacy systems. Qlik Sense has consolidated all the data in one place and provided answers to all their questions, helping to make better decisions and enabling faster collaborations.
If you have a scattered system and want to analyze your data, structured data, along with the unstructured ones, Qlik Sense is the best option where you can collaborate both data formats into one and perform analysis on top of it. This eliminates the need to rely on multiple systems to get answers.
On a scale of 1-10, this solution receives a rating of 9.
Effective with good performance and versatility
What is most valuable?
The solution offers good performance. In terms of development and everything, it's very effective. Additionally, it is a single product that I can use as an ETL database, BI, and more.
What needs improvement?
The appearance could be enhanced, especially when compared to Tableau or Power BI. Maybe more AI or real-time analytics could be incorporated.
For how long have I used the solution?
I have used Qlik Sense for five years.
What do I think about the stability of the solution?
The stability is very good. I would rate it around seven to eight out of ten.
What do I think about the scalability of the solution?
The scalability is also very good, around seven to eight out of ten. It performs well in terms of performance and load compared to others.
How are customer service and support?
Technical support requires improvement. I would rate it around three out of ten. Basically, I think they lack in the support system.
How would you rate customer service and support?
Negative
Which solution did I use previously and why did I switch?
I used SAP BO, which is more traditional. Performance-wise, it is not so great.
How was the initial setup?
If it is complex, then it becomes even more time-consuming. Setting up a server should take around one or two hours.
What about the implementation team?
The implementation team consisted of around 20 people.
What's my experience with pricing, setup cost, and licensing?
It's expensive. Compared to Power BI, it is definitely costly. I would estimate the cost at maybe five out of ten.
What other advice do I have?
It's a good product. Performance-wise and scalability-wise, it's good. Overall, it's a solid product. They need to improve their marketing strategy, like Power BI, the Microsoft product, however, they are not selling it in the right manner. I would rate the solution eight out of ten.
Great reporting, quick data rendering, and excellent GUI
What is our primary use case?
Using Qlik Sense, we created many CXO & Senior Leaders dashboards. Qlik Sense is really helpful to leaders to get insights on time, and they can see granular level data easily. UI is superb and easy to navigate from one sheet to another.
Our company has a plethora of source systems, and providing a single source of truth via a common platform was a challenge. There was also a need for a self-service analytics platform that allowed businesses to make decisions on time using any device.
We needed to build a Common Reporting Platform that talks to multiple source systems and are:
- Visually intuitive
- Integrate Analytics with Mobile App
- Set up Data Governance and create an enterprise data warehouse
Multiple products were considered, but we chose QlikSense.
How has it helped my organization?
Initially, data was kept in silos and business users were reporting at their business level. It was a really cumbersome process to collate data at the company level. After Qlik Sense, we prepared data in one place and transformed it to create Qlik UI.
The company has a plethora of source systems, and providing a single source of truth via a common platform was a challenge. There was also a need for a self-service analytics platform that allowed businesses to make decisions on time using any device.
Proposed Solution
We worked to build a Common Reporting Platform that talks to multiple source systems and is visually intuitive, integrates analytics with mobile and has Data Governance.
What is most valuable?
The most valuable aspects of the solution include the :
- ETL and visualization, user stories, and insight advisor
- Self-Service - a clean and modern user experience with Global Smart Search, Associative Exploration, and Advanced Navigation
- Data Visualization or rich charting, visual interactivity, and smart visualizations
- Data storytelling
- Rapid API development
- Embedded analytics
- Custom extensions
- Powerful, multi-source data integration
- Direct discovery
- Qlik admin from the Qlik Management Console
- Qlik Sense Monitoring
- Deployment Console
- Data Governance
Qlik Sense brings in the concept of shared libraries where one user can create custom dimensions (even with drill-down functionality), measures, and even visualizations and save it to the "Master Items," from which the other users can simply drag and drop to use it for their analysis.
What needs improvement?
We are planning to move to Qlik SaaS to mitigate the below issues -
- The app performance is a challenge for all users
- Section access and other security parameters are complex
- Managing the environment is a major task for company upgrades are not being leveraged to the recent releases
- Regularly maintaining all the environments with the same version and implementations
- Auto ML is a need as this will help businesses make data-driven decisions.
- Use cases about salesforce embedding is critical
- Real time data ingestion and automaton of the ETL are becoming important
- Alerting and reporting for the business users for their analytics requirements is needed
For how long have I used the solution?
Previously We were using Qlik Enterprise onPem, but we moved to Qlik SaaS last year.
What do I think about the stability of the solution?
The product is stable with very good features.
What do I think about the scalability of the solution?
This is very easy to scale.
How are customer service and support?
Customer service support was good bit not extraordinary.
How would you rate customer service and support?
Positive
How was the initial setup?
It was complex migration process - Qlik Onprem to Qlik SaaS.
What about the implementation team?
Through Qlik Services, we migrated our dashboards to Qlik SaaS
What was our ROI?
We are able to save many manhours by automating the solution.
What other advice do I have?
Qlik Sense is excellent for Leadership reporting purposes. Its specialty is quick data rendering, and data drill-down, which has been quite useful. The GUI is excellent.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
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