Combining AI and BI in a dynamic data landscape

Business teams are raising the bar on Business Intelligence and Datawarehouse support. BI competence centers and data managers have to respond to expanding requirements: offer more data, more insight, maximal quality and accuracy, ensuring appropriate governance, etc. All to create guidance for enhancing their business.

How Three Enterprises Turned Their Big Data into Their Biggest Asset

Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. Most data warehouses were designed before the big data explosion, and struggle to support modern workloads. To make due, many companies are cutting down on their data pipelines, severely limiting the productivity of data professionals.

Agile Data Warehouse Design

A 3-day dimensional modelling course presented internationally by leading data warehousing expert and author Lawrence Corr, covering the latest agile techniques for systematically gathering Business Intelligence (BI) requirements and designing effective DW/BI systems.

Putting Machine Learning to Work

Hands-on workshop with Keith McCormick on applying supervised and unsupervised learning. How do you convert business challenges into effective machine learning models? Which techniques do you need to apply in which situation? This workshop is highly participative and contains real world examples.

Developing your own Enterprise Data Marketplace (Dutch spoken)

We have known public data marketplaces for a long time. In recent years, organizations have started to develop their own data marketplace: the enterprise data marketplace. In this session we discuss the challenges of developing your own enterprise data marketplace.

Agile Methods and Data Warehousing: How to Deliver Faster

Most people will agree that data warehousing and business intelligence projects take too long to deliver tangible results. This presentation will look at the 12 principles behind the Agile Manifesto and see how these approaches can be used to speed things up in the context of a data warehouse project.

Data Warehousing in Today and Beyond

The world of data warehousing has changed! With the advent of Big Data, Streaming Data, IoT, and The Cloud, what is a modern data management professional to do? This talk will endeavor to cut through the hype and the buzzword bingo to help you figure out what part of this is helpful.