Automating data - webinar invitation

Automating data lakes, DWH & data stores

Online on-demand

In this webinar, you will learn how to increase productivity by 200%–400% through DWH Automation, how to achieve almost completely automated SQL generation in a DWH solution, how to avoid data lineage issues even before a data solution is built or how to design a data-oriented solution using metadata and machine-readable patterns and templates.

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Legacy software: 2 ways to modernise 1 system

Online on-demand

In this webinar, you will learn the typical challenges of legacy software and 2 long-term, cost-efficient solutions for legacy system modernisation. You will also discover best practices & common pitfalls and what successful use cases have in common.

Legacy System Modernisation webinar

Legacy systems modernisation

Online on-demand

In this webinar, you will learn how to save costs and meet the needs of business and IT while modernising legacy systems as well as best practices & common pitfalls. You will also learn about typical challenges with legacy system modernisation, successful client use cases and much more.

Propensity modelling for banks

Propensity modelling for banks

Online on-demand

In this webinar, you will learn how to use data to find out which customers you should target, and know which products to offer them at the right time. You will also learn how to create more sales opportunities and most importantly, to monetize the benefit of data-driven campaigns through propensity modelling.

Cloud in examples—(how to) benefit from modern technologies in the cloud

Online on-demand

To help you better navigate the options and inspire you, we’ve made this webinar describing two practical ways to use cloud services and benefit from the out-of-the-box features and infrastructure the cloud provides.

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Reference data management

Online on-demand

In this webinar, you will learn about the data architecture context of reference data management (RDM) and how it relates to master data management (MDM) and data quality. You will also learn about data models and design patterns for efficient RDM solutions and challenges we often face and tips for successful RDM implementation.

Data Landscape Mapping

Data landscape mapping

Online on-demand

In this webinar, you will learn, what ‘smart’ data lineage is and how to empower it to build the data architecture, the general structure of data architecture and its context within enterprise architecture, how data architecture can help with data governance, what a conceptual metadata model for data landscape mapping is and 4 simple steps towards data transparency.

Building big data pipelines—lessons learned

Online on-demand

What is the power of business departments? What is missing in communication between layers responsible for building big data solutions? What mistakes can happen when IT departments are too proactive in creating solutions for big data? In this webinar, our senior consultant Lukas Veres will go through some lessons learned in his journey in the big data world.

Data transparency

4 steps towards data transparency

Online on-demand

In this webinar, you will learn about the general structure of data architecture and its context within enterprise architecture and a conceptual metadata model for data landscape mapping. Finally, you will get 4 simple steps towards data transparency.

Understand your data dependencies – Key enabler to efficient modernisation

Online on-demand

In this webinar, experts from Profinit and Manta, Michal Petřík and Jan Ulrych, will present their approach to resolving data-related challenges and data dependencies while modernising software systems using Profinit Modernisation Framework in collaboration with Manta tools.

Enterprise data lineage for analytical superheroes

Online on-demand

In this webinar, you will learn how to unravel complex clusters of data flows across enterprise information systems, how not to be bothered by impact analyses of complex changes in data-oriented solutions, or how to easily and clearly show users the data’s path from the primary sources to their reports.