Data Platform Governance
Ensure your data platform adheres to internal standards and meets regulatory requirements for both information security and spend management.
When to Reach Out
- Rising costs from increased usage
- Challenges in controlling access to data
- Need to align data processes with regulatory frameworks
How we help
We help customers like you start and scale data efforts on a project basis.
New to Snowflake? By using our blueprint architectures and accelerators, you’ll save months of architecture and delivery your project
- Integrate with AWS, Azure & GCP
- ISO-compliant encryption
- Off-the-shelves templates
Our streamlined process helps you easily implement strong data access controls and scalable entitlement processes in Snowflake.
With our standardized approach, your organization can customize data access based on each person’s role and the specific reason for accessing the data.
- Access Controls
- Data Masking
- User provisioning
Control budgets and spend by building transparency in the usage of your data platform
- Project cost allocation
- Investments versus running cost
- Detect opportunities to improve
why Should you work with us ?
Expertise
Tropos has been pioneering since 2017
Partnerships
We hold top-tier partnerships with out preferred software vendors.
Accelerators
In-house frameworks for common activities
Your Frequently Asked Questions, answered.
We define all of our platform configuration in code. That allows us for transparant auditing and change management.
Release management follows software engineering good practices, and critical changes go through an approval flow.
Yes, we build and maintain our internal framework Asana to configure new Snowflake accounts in minutes, not months.
It is fully documented and we distribute it under customer-friendly licensing terms.
Yes! We start with an as-is analysis, and define a roadmap based on the gap.
We primarily work with Amazon Web Services, and integrally apply our approach to Microsoft Azure.
Case studies
A telco realized material cost reductions by migrating legacy Datastage ETL workloads to Snowflake and dbt.
A “big farma” enterprise structurally organized their migration to Snowflake by centrally designing capabilities
