Azure Dataverse
The data produced in different sources by the departments within the organization should be moved to a separate platform in order to facilitate the reporting and analysis. We provide consultancy services to clean, classify, transform and report data on on-premises and Cloud platforms.
In this way, analytical reports, admin dashboards and (push notification) reminders can be created with reporting tools such as Power BI and services such as Azure Synapse Analytics.
Data warehouses consist of the following components:
- A relational database to store and manage data,
- An extraction, load, and transform (ELT) solution to prepare data for analysis,
- Statistical analysis, reporting and data mining skills,
- Customer analytics tools to visualize data and present it to business users,
- Other, more detailed analytics applications that generate actionable information by applying data science and artificial intelligence (AI) algorithms, or enable more types of data analysis at scale using graph and spatial features.
