Schedule Archief - Page 11 of 14 - Data Warehousing & Business Intelligence Summit

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.

The influence of the new technologies on data architectures (Dutch spoken)

Can we still develop a technology-independent data architecture? In this session the potential influence of the new technologies on data architectures is explained.

De nieuwe business intelligence wereld: van Batch naar Lambda en Kappa (Dutch spoken)

Deze presentatie gaat in op Kappa architecturen. Wat zijn de voor- en nadelen van het verwerken van data langs deze architectuur ten opzichte van de oude batch verwerking of de tussentijdse lambda architectuur? Dit en meer vragen zullen in deze sessie beantwoord worden.

Model Deployment for Production & Adoption – Why the Last Task Should be the First Discussed

Most analytic modelers wait until after they’ve built a model to consider deployment. However, doing so practically ensures project failure. This session will convey imperative preparatory considerations to arrive at accountable, deployable and adoptable projects.

Addressing Organizational Resistance to Predictive Analytics and Machine Learning

Many who work within organizations that are in the early stages of their digital transformation are surprised when an accurate model faces organizational resistance. Keith will share case studies based upon real world projects that reveal why organizational resistance was a problem and how it was addressed.

Data Modelstorming: From Business Models to Analytical Models

In this lively session Lawrence Corr shares his favourite collaborative modeling techniques for successfully engaging stakeholders using BEAM and the Business Model Canvas for value-driven BI requirements gathering and star schema design.

Maak uw BI-project succesvol met Data-Driven Storytelling (Dutch spoken)

Al jaren bestaat de wereld van Business Intelligence (BI) uit het bouwen van rapporten en dashboards. Echter, de BI-wereld om ons heen verandert snel. In deze sessie gaan we in op de veranderende BI-wereld en over de toepassing van data-driven storytelling binnen BI-projecten.