Data integration and quality

Deliver trusted, AI-ready data throughout the organisation

Maximise the efficiency of your enterprise resources. By utilising Qlik Talend® Data Integration and Quality, you can drive forward with innovative AI developments, make more informed decisions, and streamline your business operations for the future.

Implement an enterprise data fabric for AI and analytics

Integration

Integrate all of your data wherever it resides

Bring together a variety of data sources, formats, and destinations to ensure that business professionals and data experts can easily access the most up-to-date information exactly when they need it.


Trust

Ensure enterprise
grade trust

Improve your entire data management process with Qlik's high-quality, curated, and readily accessible, trusted data.




Three cogs

Easily meet constantly changing requirements

Qlik's solutions, fuelled by automation and boosted with AI, work seamlessly regardless of the cloud platform and do not favour any specific technologies, effectively bridging the gap between different business units and IT departments.

Work with a market leader

Gartner

For eight years, Gartner® has positioned Qlik Talend as a Leader in its Magic Quadrant for Data Integration Tools.

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Forrester

Forrester's Total Economic Impact™ (TEI) study on Qlik's data quality solutions highlights $12.6 million in total benefits and an impressive 355% ROI over three years. With a rapid payback period of six months, organisations benefit from improved data management efficiency, governance, and reporting.

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Illustration displaying Gartner cover and Forrester Data Quality eBook, focusing on forester data quality and data integration.

Simplify your approach to data integration

Get an adaptable real-time solution for delivering enterprise data to virtually any destination, on-premises or in the cloud

  • Universal data source and target connectivity

  • AI-augmented data movement, transformation, and quality

  • Real-time, continuously updated, and AI-ready data
Data Integration & Data Quality Solutions - Platform Agnostic - Qlik
A data flow diagram unifying data quality and data governance workflows and delivery

Track, maintain, and protect data accuracy at every stage of the data lifecycle

  • Fight data chaos by discovering, federating, sharing, and automating critical data quality tasks

  • Streamline end-to-end data management with Data Products, a unique domain-centric approach

  • Maintain a standards-based and extensible system so you will never be locked into a specific technology vendor or philosophy

Automate the design, creation, and continuous update of data warehouses and AI-ready data lakes on any cloud platform

  • Automate mapping, target table creation, and data instantiation

  • Enhance the productivity of your AI, ML, and RAG initiatives with a no-code/pro-code development environment

  • Quickly create and deploy AI and analytics-ready structures

Data Integration & Data Quality Solutions: Agile and Automated - Qlik

2023 Gartner® Magic Quadrant™ for Data Integration Tools - CDC Streaming - Qlik

Data Integration Buyer’s Guide

See how Qlik Talend Data Integration can help you achieve an agile data warehouse and accelerate analytics initiatives.

In business today, it is vital to get data to users fast. But with more data and more complexity than ever before, that task can feel like a moving target. The good news is, modern data technology can handle all your requirements – and with the right data integration solution, you’ll be well equipped to deliver.

How can you find the data integration solution that will perform best for your organisation? Download What to Look For in a Data Integration Solution to see a list of everything you’ll want to consider, including:

• High-level considerations and use cases
• Core capabilities and solution must-haves
• Usability, pricing, and supplier services

Find out what’s possible – and determine what’s indispensable – for your data integration solution.

 

Ready to start improving the quality of your data?

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