Schedule Archief - Pagina 11 van 14

De uitdagingen van een enterprise data marketplace

Publieke data marketplaces kennen we al heel lang. De laatste jaren is binnen organisaties een variant hiervan in opkomst gekomen: de enterprise data marketplace (ofwel dataloket). In deze sessie wordt behandeld wat de uitdagingen van het ontwikkelen van een eigen enterprise data marketplace is.

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.

De invloed van nieuwe database-technologie op data-architecturen

Kunnen we nog wel een technologie-onafhankelijke data-architectuur ontwikkelen? In deze sessie worden de unieke architecturen van de nieuwe technologieën op een rijtje gezet en hun mogelijke invloed op data-architecturen belicht.

De nieuwe business intelligence wereld: van Batch naar Lambda en Kappa

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.

Maak uw BI-project succesvol met Data-Driven Storytelling

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.

Becoming Data Driven – A Data Strategy for Success & Business Insight

In order to transform into a data-driven, digitally based organisation, a plan which spells out what must be done to is required. This session will outline how to produce a data strategy and supporting roadmap, and how to ensure that it becomes a living and agile blueprint for change rather than a statement of aspiration.

Data Quality & BI/DW – Not yet a marriage made in heaven

Our industry is littered with failed BI/DW projects, with an inability to resolve underlying data quality issues often cited as a primary reason for failure. This presentation tackles these issues and suggests how BI/DW and data quality can and must support each other.