Data Governance and Automation

The basics to a successful business intelligence capability implementation is ensuring that you are in control of the data assets, access is democratized and only data that has passed the quality validation is used for analytics and insights creation.

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Data Quality Framework

Key must-have characteristics:

Validation & running rules

Comprehensive capability to define and execute validation & running rules against diverse data sets.

Scaling

Reliable scaling across multiple data domains with consistent performance.

Logging

Outstanding logging capacity to store the results of the rules executions supporting audit needs

Outcome

Trusted Data, Reliable insights, Self-healing data quality ecosystem

Trusted Microsoft partner in EMEA

Sized for agility and scale

1200+ Microsoft experts in the EMEA and 80 in The Netherlands
Azure Expert Managed Services Provider (MSP)
18 specializations, amongst which Azure Data & AI and Azure Infrastructure
2019 – 2022 Partner of the Year Award
A track record at enterprise & corporate businesses and governmental organizations
High-standing partnerships with other major technologies such as AWS, Google Cloud and more.

Data Automation with FastBeat

FastBeat is an advanced DataOps framework that covers the various aspects of data automation such as data ingestion, data pipelines and CI/CD automation.

It contributes to the standardization effort in how data is being sourced, processed and manage allowing not just for reduction of operational efforts, but more important dramatically improves the data consumption experience. It helps in implementing and enforcing also the important data governance policies.