Most organisations already have plenty of data. The challenge is getting it out of different systems, keeping it current and making it available where people actually need it. As your data environment grows, this becomes increasingly difficult to manage. More sources mean more pipelines, more dependencies and more processes that need to be maintained.
Qlik Data Integration is Qlik’s technology for connecting, moving, transforming and delivering data across different systems and platforms.
Instead of relying on separate scripts and manually maintained processes to move data between systems, Qlik helps automate the flow of data across your environment. It can capture changes at the source, replicate them with low latency and prepare the data for use in data warehouses, lakehouses, analytics platforms and other applications.
Qlik’s broader data integration portfolio also includes capabilities for data quality and governance, helping organisations make sure that the data they deliver is not only current, but also reliable and ready to use.
The result is a more consistent way to manage the journey from raw source data to data that people and applications across the organisation can actually use.
Most organisations do not have a shortage of data. The challenge is that it lives in many different places.
ERP systems, CRM platforms, databases, SaaS applications, cloud platforms and legacy systems can all contain information the business depends on. As the number of systems grows, moving and maintaining that data becomes increasingly complex.
Qlik Data Integration helps automate this process. It connects your sources, keeps data moving and prepares it for use across your data platform. This reduces the dependency on manually maintained pipelines and makes it easier to provide current, usable data to analytics, AI and other applications.
Bring your data together
ERP systems, CRM platforms, databases, SaaS applications and legacy systems all contain valuable data, but they were not necessarily designed to work together.
Qlik provides connectivity across a wide range of sources and targets, allowing you to bring data from different technologies into your data architecture. This includes cloud, on premises and hybrid environments.
You can modernise your data environment while continuing to work with the systems your organisation already depends on.
Keep your data moving
Traditional batch processes often move large amounts of data, even when only a small part has actually changed.
For supported sources, Qlik uses Change Data Capture to identify changes and replicate them to the target environment. Instead of repeatedly processing the complete dataset, only the changes need to be moved.
This makes it possible to keep downstream data continuously updated with low latency while reducing unnecessary processing and the impact on operational source systems.
Turn raw data into usable data
Moving data is only part of the job. Before people can use it effectively, data from different systems often needs to be combined, structured and transformed.
Qlik supports reusable transformation pipelines that can apply business rules, prepare datasets and create structures such as data marts. Transformations can range from relatively simple changes to more advanced data modelling.
This gives data teams a more consistent way to prepare information for analytics, AI and other applications without having to rebuild the same transformation logic for every new use case.
Make sure people can trust the data they use
Moving data quickly does not help much if nobody trusts the result.
Qlik Talend Cloud combines data integration with data quality and governance capabilities that help organisations understand, improve and manage the quality of their data.
Data profiling, quality rules, lineage and governance can help teams identify issues earlier and provide more reliable data for analytics, AI and operational use.
This becomes increasingly important as data is reused across more teams, applications and AI use cases.
Make data available where it is needed
Your data does not have to end up in Qlik Analytics.
Qlik can deliver data across different cloud platforms, data warehouses and modern data architectures. This includes environments built around technologies such as Snowflake, Databricks, Microsoft Fabric, Google BigQuery and Azure Synapse.
This flexibility makes it possible to use Qlik as part of a wider data architecture rather than requiring your entire technology stack to come from one vendor.
You might already have a perfectly good analytics platform. The challenge could be everything that needs to happen before the data reaches it.
Qlik’s data integration capabilities can sit between your source systems and the platforms that consume your data, helping you create a more reliable and automated flow across your data environment.
Qlik can help move data from existing systems into modern cloud environments while source systems continue to operate. This allows organisations to modernise in stages instead of treating a cloud migration as one large replacement project.
As data volumes and requirements grow, manually maintained data warehouse processes can become increasingly difficult to manage. Qlik can automate parts of the data movement, transformation and warehouse creation process to support a more scalable environment.
When analytics relies entirely on overnight batch processing, users may be working with information that is already several hours old. Change Data Capture can help make changes available downstream sooner without repeatedly processing complete datasets.
Qlik can help move, transform and prepare data for modern data lake and lakehouse architectures, creating a foundation that can be used across analytics, data science and AI.
Analytics and AI depend on the data behind them. Qlik combines integration with transformation, quality and governance capabilities to help organisations make reliable and well managed data available for these use cases.
Qlik Analytics and Qlik’s data integration capabilities solve different parts of the data journey.
Data integration takes care of what happens before the dashboard. It connects source systems, moves and transforms data and makes that data available for use.
Qlik Analytics focuses on what happens next, giving users the tools to explore information, identify patterns and understand what is happening in the business.
The two can work together, but they do not have to. Qlik’s data integration technology can also deliver data to other data platforms and analytics environments.
The technology is only part of the solution
A data integration platform can provide the technology to connect, move and transform your data. The architecture behind it determines how well that environment will continue to work as your data volumes grow, requirements change and new systems are added.
That is where we come in.
At Bitmetric, we work across the complete data journey. We understand what happens at the source, what needs to happen inside the data platform and how that data will eventually be used for analytics.
We start by looking at your current environment and what you are trying to achieve. Which systems contain the data? Where does it need to go? How current does it need to be? Which processes are taking too much time or causing problems?
From there, we determine where Qlik fits and design an approach that makes sense for your organisation.
We can help with
Because we work across Qlik, Microsoft Fabric, Power BI, TimeXtender and the wider data landscape, we do not look at Qlik in isolation. The objective is to build an architecture that works as a whole and fits the way your organisation actually uses data.
No. Qlik’s data integration technology can be used as part of a broader data architecture and can deliver data to other platforms and analytics environments.
No. Qlik Talend Cloud can prepare and deliver trusted data for many analytics platforms, including Qlik Analytics, Microsoft Power BI, and other modern data environments.
Yes. It supports a wide range of cloud services, databases, enterprise applications, and on premises systems, allowing you to integrate data across your entire organisation.
Yes. We can help assess your existing environment, troubleshoot problems, improve architecture and performance, modernise data pipelines or provide ongoing Qlik support.
Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you.
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