At Qlik, we're witnessing a thrilling shift in the landscape of data analysis, customer engagement, and decision-making processes, all thanks to the advent of generative AI, especially Large Language Models (LLMs). The potential for transformation across all sectors is enormous, but the journey toward integration can be daunting for many businesses with many leaders wondering where to start in integrating the exciting capabilities of AI into their daily workflows.

In this blog series, I have been exploring the “sliding doors” – or divergent paths - organizations can take with data and analytics. Sometimes, grabbing the wrong door means missing out on creating the most value with your data. But in some instances, it can also lead you on a more serious path of breach of compliance with regulations.

Data engineers play a crucial role in leveraging the immense potential of SAP data to drive smarter decisions and foster innovation. However, integrating and analyzing this valuable information can be complex and time-consuming. But it doesn’t need to be. In this blog post, we will explore how Qlik Cloud Data Integration and Databricks together make it much easier to harness the power of SAP data and blend that data in Databricks, in a cost-effective manner.