What is Qlik and when does it make sense to deploy it
Author: Justyna Brończyk
Key Projects Lead
· 6min read
Qlik is a Business Intelligence platform built on a different premise than most analytics tools. While Power BI and Tableau rely on predefined relationships between data, Qlik works on an associative engine: users can explore data in any direction and the system calculates relationships in real time. That difference is irrelevant for some companies and exactly what others are looking for.
The associative engine: what it means in practice
In a traditional BI tool an analyst designs a data model with defined hierarchies and drill paths. Users can click up and down those hierarchies but cannot go outside the planned structure. If a question did not fit the model, the model had to be rebuilt first.
Qlik works differently. You load data from various sources and the associative engine builds a map of relationships between all values in every table. Clicking a value in one place instantly filters and highlights related data across all other charts and tables, with no need to define that relationship beforehand. Data that does not relate to the selection is greyed out rather than hidden, which means the analyst sees both what fits and what does not fit the chosen context.
This approach shortens the time from question to answer because the analyst does not wait for a model, they just explore. But it also asks more of the user, because the freedom to explore comes with the responsibility to ask sensible questions.
Qlik Sense, QlikView and Qlik Cloud
Qlik has several products that are sometimes confused.
QlikView is the older product, still present in many companies that deployed it several years ago. Analytically powerful but with an outdated interface and limited self-service capabilities for business users. Many organisations are planning or already midway through a migration to Qlik Sense.
Qlik Sense is the current flagship: a modern web interface, tablet and mobile apps, extended self-service for users without technical backgrounds, and a rich extension ecosystem. This is where Qlik invests and where new deployments go.
Qlik Cloud is the SaaS variant of Qlik Sense: no infrastructure to maintain, subscription pricing, faster start. For companies that do not want to manage an analytics server it is the natural choice.
Our implementation perspective and a detailed capability overview are on the Qlik technology page.
Who Qlik makes sense for
Qlik reaches companies that have a lot of data from many sources and need exploration, not just predefined reports. Typical environments: organisations with several operational systems (ERP, CRM, e-commerce platform, logistics systems) where analytical questions cut across system boundaries.
Analytics teams that currently work in Excel and spend more time preparing data than interpreting it gain a lot from Qlik. Instead of manually joining reports from three systems they get one view with current state every morning.
B2B manufacturing and trading companies that want to analyse margin at the level of product, customer and order simultaneously are another natural fit. Qlik handles multidimensional analyses like this better than tools designed for straightforward reporting.
Qlik is also chosen where data is sensitive and the company wants to keep it on-premise rather than sending it to an external cloud provider.
When Power BI might be the better choice
Power BI wins in several scenarios and it is worth saying so directly.
If the company is deeply embedded in the Microsoft ecosystem (Office 365, Azure, Teams, Dynamics), Power BI integrates with it with almost no configuration and has a lower entry barrier for users already familiar with Microsoft tools. The Power BI Pro licence cost per user is also significantly lower than Qlik.
For teams that want to start reporting quickly without a large implementation project, Power BI delivers results faster. Qlik requires a more structured approach to data modelling, which is an advantage for complex analyses but extends time to first dashboard.
We work with both platforms: details on Power BI are on the PowerBI technology page.
Qlik integrated with ERP, CRM and e-commerce
Qlik is not a transactional system but it draws data from all transactional systems. That makes integration with ERP (Comarch XL, Enova365, SAP), CRM (Salesforce, Dynamics), e-commerce platforms and warehouses a central part of every deployment.
Qlik supports connections to SQL databases, REST APIs, files, cloud services (Azure, AWS, Google Cloud) and dedicated connectors for popular systems. In practice the most common challenge is not the connection itself but data quality in the source systems and agreeing on definitions across systems: what counts as an “order” in ERP versus CRM and how to reconcile them.
We work on Qlik deployments as part of a broader analytics architecture, where the e-commerce platform and ERP are data sources and Qlik is where management and operations teams see what is happening across the business in one place. Details on the AI and Machine Learning service and e-commerce analytics and advisory pages.
If you are evaluating a BI tool and wondering whether Qlik, Power BI or a lighter solution like Streamlit for internal dashboards fits better, we are happy to help assess which direction matches your scale and needs.
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