{"id":7537,"date":"2026-03-02T14:04:29","date_gmt":"2026-03-02T13:04:29","guid":{"rendered":"https:\/\/businessintelligence.pl\/webinary\/qlik-talend-webinar-from-integration-to-business-ready-data-quality-data-as-a-product\/"},"modified":"2026-09-10T15:28:57","modified_gmt":"2026-09-10T13:28:57","slug":"qlik-talend-webinar-from-integration-to-business-ready-data-quality-data-as-a-product","status":"publish","type":"webinary","link":"https:\/\/businessintelligence.pl\/en\/webinary\/qlik-talend-webinar-from-integration-to-business-ready-data-quality-data-as-a-product\/","title":{"rendered":"Qlik Talend Webinar: From Integration to Business-Ready Data. Quality Data as a Product."},"content":{"rendered":"\n
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The Qlik Talend webinar is for individuals who want to organize their data environment and transition from information chaos to real business value.<\/h2>\n<\/div>\n\n

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During the webinar, we will demonstrate a practical approach to building end-to-end data pipelines \u2013 from integration and profiling, through transformation, to data sharing in a model that supports Data Governance and Data Products.<\/p>\n\n

How to effectively move data from raw sources to ready, reliable resources supporting business analytics and AI initiatives?<\/p>\n\n

From Data to Action \u2013 What is the Qlik Talend Platform?<\/h2>\n\n

We will start with a brief, concise introduction to the Qlik Talend platform and its role in modern data architecture.<\/p>\n\n

We will show how to combine data integration, quality control, and management within a single, cohesive ecosystem.<\/p>\n\n

The Problem of Dispersed and Inconsistent Data \u2013 A Case Study<\/h3>\n\n

Is your organization’s data dispersed across ERP systems, CRM, data warehouses, and cloud applications?<\/p>\n\n

We will analyze an example of an environment with inconsistent information sources and demonstrate how to build an organized, scalable data processing pipeline step-by-step.<\/p>\n\n

Stages of Working with Data: Acquire & Profile \u2192 Transform \u2192 Share<\/strong><\/h2>\n\n

We will discuss a practical model for working with data:<\/p>\n\n

\u2022 how to effectively acquire and profile data from multiple sources,\u2022 how to design transformations that ensure consistency and quality,\u2022 how to share data securely and ready for use in analytics and AI.<\/p>\n\n

We will show how to build processes that not only ‘move data’ but genuinely increase its business value.<\/p>\n\n

Data Governance and Data Quality in Practice<\/h3>\n\n

During the webinar, we will explain:<\/p>\n\n

\u2022 how to ensure transparency and control over data flow,\u2022 how to build processes compliant with Data Governance principles,\u2022 how to increase trust in data within the organization.<\/p>\n\n

Good data is the foundation for effective analytics and the secure development of AI projects.<\/p>\n\n

Data Products and Self-Service Approach<\/h2>\n\n

More and more organizations are transitioning to a Data Products and self-service analytics model.<\/p>\n\n

We will show how to design and share data in a way that enables business teams to independently utilize resources \u2013 without losing control or quality.<\/p>\n\n

Who is this webinar for?<\/h2>\n\n

The webinar is intended for:<\/p>\n\n

\u2022 IT leaders and CTOs,\u2022 Data & BI specialists,\u2022 data architects,\u2022 individuals responsible for data environment development and Data & AI strategy.<\/p>\n\n

Webinar on demand<\/h2>\n\n
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