Qlik Sense Reviews

Qlik Sense is a kind of modern BI tool that allows me to integrate multiple data sources, providing governed access. I can build all my dashboards in Qlik Sense, which are of very high quality and interactive. 

I can easily drill down from one piece of information to another. This is the main purpose of using Qlik Sense, as it's a standard BI tool. A very good point about Qlik Sense is that it is an in-memory data tool. Even if the data volume is quite large, it stores my data in memory, so whenever I need it, it can render it at high speed.

The advantages compared to other BI tools show architectural differences. The main feature is that it keeps all the data in memory. It doesn't retrieve the data from data sources when I need it on the dashboard; instead, it quickly provides the desired data, making it very fast compared to other BI tools. 

The ROI is very high using Qlik Sense. It offers many benefits of BI. It is flexible from a developer's point of view, allowing me to accomplish many tasks compared to other BI tools. From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.

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.

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.

In the bank, since 2017, I have found Qlik Sense to be a valuable tool. Our use of it primarily depends on the user release. We use Oracle Analytics Server for a CPU release, and alongside that, we use Qlik Sense for C-level, regional managers, and branch managers. 

I don't use Qlik Sense personally since my bank prefers it for C-level managers. Although I don't use it directly, another department uses it to prepare reports for Qlik Sense, targeting end-users like C-level users.

Qlik Sense provides better visualization. When I look at the reports and dashboards, it has an interactive interface with Qlik graphs, pivot, and interactivity, which makes it easier to use than other tools. C-level managers can easily make decisions about their operations.

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.

The appearance could be enhanced, especially when compared to Tableau or Power BI. Maybe more AI or real-time analytics could be incorporated.

I remember that a pharma company wanted a BI solution to represent or to create their own reports based on the data from Qlik Sense and the customer data.

Qlik Sense is not meant for writing something from the user interface, which is a major challenge because our company wants users to interact with the reports and to input some comments or data that should get stored into some database. The aforementioned area can be considered for improvement in the product.

With Qlik Sense, there is a need for it to provide good performance because if there is a large volume of data, then its performance becomes slow. User interaction or user experience is not that great in that case if the data size or reports are huge. The aforementioned area can be considered for improvement in the product. Right now, we are trying to follow up with some best practices recommended by Qlik Sense, but to be honest, it is not helping us much because we have very large data in a single application, and we are struggling with it.

The product should have an interactive and friendly user interface.

The use of APIs is not as friendly as it should be in the first place, especially when considering Python scripts and all other scripts, making it an area where improvements are required. There should be some easy way to integrate the product with the aforementioned areas.

I use the solution in my company for dashboard building and reporting purposes. In my company, we have a lot of dashboards that are live, and we also work with quite a lot of reports.

In our company, we found a few requirements in the tool, which we directly shared with Qlik's team through our account manager.

With the May 2024 release, the tool has covered a lot of products, but I feel there is more to come. I am expecting new updates in the tool.

Qlik Sense requires one to have a lot of technical knowledge. It is an area where improvements can be made.

We have a lot of customer types, but many work with ERPs. We use Qlik to connect to the ERP, analyze data within it, and build dashboards. Sales analysis is usually the first project because sales are crucial for every business. 

However, we also analyze production, manufacturing, and even public administration data depending on the customer's needs. So, our main areas are manufacturing, finance, and the public sector.

It's the "ease of use," like the self-service aspect. My customers appreciate being able to analyze data on their own, without relying on IT for every query.

Additionally, the associative experience of the database and its intuitive data exploration capabilities are key features for users.

My company uses the solution in 60 municipalities in Norway. In my country, the public authorities mostly use the product for municipal planning.

The most valuable features of the solution in terms of data analysis need to revolve around the speed that the tool offers. The product of analytical capabilities and the speed for all the applications are good.