16. – 17.05.2019 / 2 days / 30+ talks
Awesome and great speakers

May 16th, and 17th 2019, KRAŠ Auditorium, Zagreb, Croatia
Director of Innovation & Development department in Poslovna Inteligencija

Marko Štajcer

Director of Innovation & Development department in Poslovna Inteligencija


Graduated on University of Zagreb on Faculty of Organization and Informatics, Information Systems, 2008. After graduation Marko started working at Poslovna inteligencija where he gained extensive experience in the field of data warehousing systems, data integration, business intelligence and Big Data analytics on numerous national and international projects. Today, Marko is Director of Innovation and Development department at the same company, where he is responsible for research and introduction of new technologies and the development of Big Data applications. He also participates in complex projects of data integration and advanced analytics in the role of system architect, lead consultant and project manager.


Complex, fast-moving datasets make it nearly impossible to spot infrastructure problems, intruders, or business issues as they happen using rules or humans looking at dashboards. Elastic machine learning features automatically model the behavior of your Elasticsearch data — trends, periodicity, and more — in real time to identify issues faster, streamline root cause analysis, and reduce false positives.

With machine learning, users can go deeper and ask questions like “Have any of my services changed behaviour?” or “Are there any unusual processes running on my hosts?” These questions require behavioural models of hosts or services that can be automatically built from data using machine learning techniques. Elastic machine learning features make all that possible and apply to a broad range of use cases and datasets, allowing users to get creative with where and how you use them.



Follow Darko




Sessions and Workshops

Poslovna inteligencija is one of the First Croatian Companies that started the Business Intelligence revolution. It is always good to learn what they are doing and how they are implementing technologies.


Data Lake: from Data Warehouse to Data Lake

With the release of Hadoop and the new Big Data technology, we have been able to analyse a much larger amount of data compared to traditional DWH and the ability to analyse not only relational but unstructured data types. Some new terms related to storage of data such as the Data Lake have appeared, but also many variations such as Managed Data Lake, Data Factory, Data Refinery…

Read more