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END-TO-END DATA INTEGRATION AND ANALYTICS

Bring together data from multiple sources and provide a complete, accurate, and up-to-date dataset for BI, data analysis, predictive insights and accelerating business performance.

Delivering value with Data Integration

Having the ability analyse data from multiple sources, including structured, unstructured, and legacy systems is crucial to organisations undertaking transformative projects.  

Modern cloud based data integration solutions accelerate your digital transformation journey. This provides you and your organisation with immediate access to data insight and resulting actions.  

  • Unlock trapped value from your existing business systems
  • Extend enterprise data into live streams to enable modern analytics
  • Rapidly design, build, deploy and manage purpose built cloud data warehouses
  • Automate complex ingestion and transformation
  • Enable analytics across your enterprise
  • Reduce the complexity and cost of multiple tools
  • Automate manual processes and workflows
  • Ensure data quality and governance criteria are met
  • Embrace disparate data formats and sources

3 Key Data Integration Use Cases

Every organisations’ needs are different, depending on industry, customers, products, process and workflow. 

  • Data Ingestion
  • Data Replication
  • Data Warehouse Automation

The data ingestion process involves moving data from a variety of sources to a storage location such as a data warehouse or data lake. Ingestion can be streamed in real time or in batches and typically includes cleaning and standardising the data to be ready for a data analytics tool. Examples of data ingestion include migrating your data to the cloud or building a data warehouse, data lake or data lakehouse.

data-ingestion2

 

In the data replication process, data is copied and moved from one system to another—for example, from a database in the data center to a data warehouse in the cloud. This ensures that the correct information is backed-up and is synchronised to operational uses. Replication can occur in bulk, in batches on a scheduled basis, or in real time across data centers and/or the cloud.

data-replication

 

The data warehouse automation process accelerates the availability of analytics-ready data by automating the data warehouse lifecycle—from data modeling and real-time ingestion to data marts and governance. This diagram shows the key steps of automated and continuous refinement to data warehouse creation and operation.

data-warehouse-automation

 

Qlik Data Integration Platform

Qlik Data Integration Platform

Free your data and transform it into analytics-ready information at the speed of business. 

Watch the video and see how the Qlik Data Integration Platform helps streamline, automate, and accelerate your end-to-end data pipeline.

Modern DataOps

Using the Qlik Data Integration Platform for Better Analytics

Qlik’s Data Integration (QDI) Platform automates the creation of data streams from core transactional systems. It efficiently moves data to applications, warehouses, and lakes — on premise and in the cloud — and makes data immediately available via an Amazon-like catalog marketplace experience. With Qlik, users get the frictionless data agility they need to drive greater business value.

2021 Gartner® Magic Quadrant™ for Data Integration Tools

See why Gartner has recognised Qlik in the Magic Quadrant for Data Integration Tools yet again.
Enabling DataOps for analytics

Explore Qlik Data Integration Products

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