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Robust analytics engine that simplifies modem activation visibility.
What do you like best about the product?
What I like best about Qlik Sense is the way its associative engine handles complex, multi-table telecom and activation datasets without breaking the model. For our modem activation dashboards, it’s extremely helpful to link VIN-level data, activation events, modem health signals, and backend system logs in a single Qlik data model. The ability to script transformations in the load editor, perform incremental loads, and manage large QVD layers makes the pipeline stable even with high-volume activation data.
The visual layer is equally strong-things like set analysis, custom expressions, and responsive KPIs let me build very granular views (e.g., activation rate by model year, carrier, region, modem type, or failure codes). The SaaS version performs especially well for heavy dashboards, while the on-prem version gives more control over data gateways and refresh schedules. Overall, Qlik Sense allows me to handle complex activation workflows and root-cause analysis in a way that’s both scalable and technically flexible.
The visual layer is equally strong-things like set analysis, custom expressions, and responsive KPIs let me build very granular views (e.g., activation rate by model year, carrier, region, modem type, or failure codes). The SaaS version performs especially well for heavy dashboards, while the on-prem version gives more control over data gateways and refresh schedules. Overall, Qlik Sense allows me to handle complex activation workflows and root-cause analysis in a way that’s both scalable and technically flexible.
What do you dislike about the product?
The biggest downside of Qlik Sense is that some of the advanced features still require a fair amount of scripting. Things like complex data transformations, incremental loads, or handling edge-case modem activation logic often need Qlik load script workarounds instead of native UI-based solutions. Managing section access and data security rules can also get tricky, especially in environments with multiple data sources and frequent schema changes. On the visualisation side, the customisation options are somewhat limited unless you rely on extensions, which aren’t always stable or supported across SaaS and on-prem.
Performance can also be inconsistent-large activation datasets load well with QVDs, but live connections or heavy front-end calculations can slow down both SaaS and on-prem servers. Overall, Qlik Sense is powerful, but the complexity in scripting, limited UI customization, and dependency on strong data modeling skills are the main pain points.
Performance can also be inconsistent-large activation datasets load well with QVDs, but live connections or heavy front-end calculations can slow down both SaaS and on-prem servers. Overall, Qlik Sense is powerful, but the complexity in scripting, limited UI customization, and dependency on strong data modeling skills are the main pain points.
What problems is the product solving and how is that benefiting you?
Qlik Sense helps solve the problem of pulling together large datasets related to modem activation-things like VIN details, activation events, carrier data, modem health logs, and backend system statuses. Before Qlik, this information was scattered, making it hard to identify activation failures or delays quickly.
With Qlik Sense, I can consolidate all of this into a single data model and build dashboards that show real-time activation rates, failure patterns, and region- or model-specific issues. The associative engine makes it easy to drill down into specific VINs, modem types, or error codes without manually running queries.
This directly benefits us by improving visibility into activation performance, speeding up root-cause analysis, and reducing the time spent on manual reporting. From a business perspective, it supports faster decision-making, helps track customer connectivity issues, and ultimately improves the quality and reliability of connected vehicle services.
With Qlik Sense, I can consolidate all of this into a single data model and build dashboards that show real-time activation rates, failure patterns, and region- or model-specific issues. The associative engine makes it easy to drill down into specific VINs, modem types, or error codes without manually running queries.
This directly benefits us by improving visibility into activation performance, speeding up root-cause analysis, and reducing the time spent on manual reporting. From a business perspective, it supports faster decision-making, helps track customer connectivity issues, and ultimately improves the quality and reliability of connected vehicle services.
Qlik sense Review
What do you like best about the product?
Qliksense helps our organization with multiple data source. Streamline process and help with analytical information.
What do you dislike about the product?
The tool takes too much time load the data.
What problems is the product solving and how is that benefiting you?
Qliksense helps our organization with multiple data source. Streamline process and help with analytical information.
Experience of working on Qliksense for 5 years
What do you like best about the product?
There are several features in qliksense which makes it stand out among BI tools specially while handling large dataset such as its associative model, wide variety of functions to transform data and set analysis to handle the data which is going to be displayed in UI.
What do you dislike about the product?
What I most dislike about Qliksense is the amount of time I had to spend to get handle on all the script function and kind of loads. It has vast number of functions which is not easy for beginners to use.
What problems is the product solving and how is that benefiting you?
Qliksense allows integration of data from different data source. Also it allows features such as incremental load and binary load which help to reduce data redundancy, reload time and makes the load less memory extensive.
Qliksense script allows us transform messy data into structured, analysis ready formats.
Qliksense script allows us transform messy data into structured, analysis ready formats.
Data organization for Data Analysis with Qlick Sense
What do you like best about the product?
Qlick Sense is best tool for data analysis and we can connect multiple data source with Qlick Sense and make report accordingly.
What do you dislike about the product?
When we comparision with static target with achived target, multiple values do not change by filter.
What problems is the product solving and how is that benefiting you?
Qlick Sense solves so many problems like all data in single plateform, creating customization reports, able to take decesion basis on reports.
Quick by a Qlick
What do you like best about the product?
Changing QlikSense to customer requirements.
Dashboard and data exploration are easy.
Data connections with multiple cloud platforms allow for easy insights.
Customer support is superb.
Activation and implementation are easy.
Dashboard and data exploration are easy.
Data connections with multiple cloud platforms allow for easy insights.
Customer support is superb.
Activation and implementation are easy.
What do you dislike about the product?
Limitations for users due to the cost.
Data exploration with multiple users is not easy.
Data exploration with multiple users is not easy.
What problems is the product solving and how is that benefiting you?
Dashboards
Charts
Data extraction
Data Manipulation
Charts
Data extraction
Data Manipulation
Enable to login to Qlik Management console after installation
After launching the instance and installation, enable login to the Qlik Management Console with Machine Administrator credentials. No Error was shown.
QlikSense: Making Sense of your Data
What do you like best about the product?
I like most about this product for its user friendly interface, in memory storage, robust visualization and scalability. Its ability to create dynamic and easy to use dashboards allows users to discover information. Its associative data engine allows users to browse around data without being limited to pre-defined searching is one of the strongest offerings. It also has a great Qlik Community to support different issues related to Qlik.
What do you dislike about the product?
Auto ML part can be improved by adding different types of algorithms to analyze the data.
What problems is the product solving and how is that benefiting you?
QlikSense unifies and integrates data from different sources with in a central platform. It also speed up decision making with real time data analytics and fast insights.
Qliksense: Best Buisness intelligence tool with advanced features
What do you like best about the product?
Associate data model is most helpful aslo Qlik Insight advisor provides us with charts and visualization suggestions according to our data
What do you dislike about the product?
Struggle to learn new things and advances concepts
What problems is the product solving and how is that benefiting you?
Qlik Sense solves data visualization, analysis, and reporting challenges by enabling intuitive, self-service analytics. It benefits by improving decision-making and providing insights quickly, saving time and enhancing productivity.
Easy Dash boards for sales
What do you like best about the product?
How easy it is to have dashboards to track sales of the month and
What do you dislike about the product?
it takes long to update the data it has received
What problems is the product solving and how is that benefiting you?
Data wharehouse
Best BI tool in the market
What do you like best about the product?
Its user-friendly interface makes it easier for beginners to get started. It also has a wide range of data connectors available and can handle large datasets, making it superior to other tools in the market.
What do you dislike about the product?
Comparatively expensive when compared to other business intelligence tools.
What problems is the product solving and how is that benefiting you?
It allows us to efficiently manage large datasets, quickly create dashboards and reports, and effortlessly share them among users.
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