Webinars

Listen in on this panel discussion, and hear how manufacturing data experts from Databricks, Qlik, and CelebalTech are helping manufactures leverage the IT and OT data convergence in order to extract the full potential of business-critical SAP enterprise data, lower IT costs and deliver real-time prescriptive insights, at scale.

Join this webinar and see how Qlik & Microsoft's new joint offering improves insights from SAP data, removes the challenges of complexity, time, and cost, and provides flexibility for your SAP data in downstream analytics initiatives.

During the webinar you will see how this integrated solution can dramatically decrease the time it takes to deliver valuable insights from SAP data, as well as combine it with non-SAP data in Azure Synapse.

Market leaders in every industry are beginning to see the power of real-time big data integration and how connecting it can enable them to re-imagine their markets, customers, products, and business models. Christian Nicoll, Director of Platform Engineering & Operations at Generali Switzerland guides us through their journey of setting up an event-driven architecture to support their digital transformation project.

How JB Hunt is driving efficiency with AI and real-time automated data pipelines with Qlik and Databricks.

Join this webinar and see how Qlik & Microsoft's new joint offering improves insights from SAP data, removes the challenges of complexity, time, and cost, and provides flexibility for your SAP data in downstream analytics initiatives.

Why Espresso? These webinars get straight to the point, they are strong, short, and with immediate effect – like an espresso. Espresso Webinar - HSBC: Data Management Made Easier: Hear how HSBC makes data management easy! End-to-end data management implementation seems somewhat of an art form.... when it should be a science. We have brought together different data sources to tell a coherent data management monitoring and implementation story.

How did Aegon become a leader in data-enabled innovation? By building a cloud-based environment using AWS and Qlik to speed up data delivery.

During the session we will explore how these joint solutions decrease the time-to-insights and how to blend data with other sources like SAP data in Azure. We will also explore how you can easily get started with Qlik and Microsoft’s free Proof-of- Value (PoV) that includes software and expertise to remove barriers and accelerate real-time analytics.

In this on-demand webinar, you’ll hear data streaming success stories from Conrad Electronics, Generali and Skechers that leverage Qlik Data Integration and Confluent. You’ll discover how Qlik’s data integration platform lets organizations automatically produce real-time transaction streams into Kafka, Confluent Platform, or Confluent Cloud, deliver faster business insights from data, enable streaming analytics, as well as streaming ingestion for modern analytics.

ABB required a thoughtful game plan to gain faster insights from 30+ SAP ECC instances, spread across the globe. Join experts from ABB, Snowflake and Qlik as they discuss this truly revolutionary digital transformation project.

The traditional ETL approach for moving data to the cloud is labor-intensive & costly, not to mention brittle & slow, draining organizations of time & resources that they just do not have. In this webinar, you will hear from Gordon Food Service & how they sharpened their competitive edge by delivering the freshest data to Google Cloud & dished up a better customer experience through real-time data insights.

Moving data to the cloud comes with many challenges. Traditional ETL processes are struggling to deliver scalable & effective data. This results in frustrated users from slow delivery of data & a workplace reporting on out-of-date, inaccurate & untrusted data. Discover how the role of a cohesive data integration platform can enable you to build an analytic-ready data pipeline to the cloud. See how Qlik enables customers like Devon Energy to deliver data where they need it & in the right format.