Microsoft Data Platform & BI
VisionWorks’ Microsoft Data platform & BI is a no-nonsense competence center that strives for specialized expertise in the broad Microsoft Data and Analytics Platform. We work with on premises technologies such as SQL Server and the associated services such as integration services, reporting services, analysis services and machine learning services.
Cloud technologies have become mainstream in recent years. That’s why we continue to build on our expertise in the wide range of Microsoft Azure. Think of services such as Azure SQL Database, Azure SQL Data Warehouse, Azure Data Lake and Analytics, HDInsight, Cosmos DB, Azure Machine Learning and of course Power BI.
Our first internal objective is to create a modern and innovative data culture. To this end, we are building a nice community that ensures that our consultants are happy and continuously make progress, both personally and professionally. Our second internal objective is to be more closely aligned with other business units and practices so that we can use our competencies to make projects involving different unints a success.
Our external objective is to serve customers according to their needs. Whether it’s on the basis of pure consultancy, offering solutions or even offering customer service.
DataTalks, the practice of big data & cloud, data science and data visualization
The term data science has different definitions. For most of our customers, and even within our team, it has a different meaning. In general, we see two types of applications or projects in our practice:
- Configuring cloud and big data architectures and managing data flows
- Predictive modeling and advanced analysis
Both require different competences, and both are referred to as ‘data science’.
We also do data visualization. You may immediately link that to ‘just’ dashboarding, but nothing could be further from the truth. In this competence centre, we take visualization to the next level, until it almost becomes an art form.
Our goal is to create new solutions and to work out projects that involve different competences. This is only possible if we combine the ETL and infrastructural aspects with the advanced analysis and visualizations.