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Centralized, scalable, and cloud-powered insights

Modernize your data platform by migrating to the cloud, unlocking potential for centralization, analysis, and business insight generation.

Traditional data platforms have been limited by infrastructure costs and complexity. Cloud services provide greater agility and analytical power. By embracing cloud migration, you turn your data into a strategic asset, enabling more intelligent, scalable, and responsive decision-making.

Build your new, cloud-based data platform

Microsoft technologies Fabric, Databricks, Synapse
Integration of both internal and external data sources to develop automated ETL pipelines that ensure seamless data processing
Robust data governance policies and user-friendly interfaces in Excel or PowerApps
Interactive Power BI dashboards for visualizing insights

Migrate your existing data platform to the cloud

Analysis of current infrastructure and workloads
Selection of the most appropriate cloud platform
Custom migration strategy, lift-and-shift or re-platforming
Implementation of cloud environment, and configuration of networking, security and storage
Migration of your data and applications, testing and validation of new setup
Operations handover and user training

Why you should move your data platform to the cloud

Our custom approach to seamless cloud migration

Migrating your data load to the cloud is complex and requires careful planning. Our approach is tailored to your environment and needs to ensure a smooth transition.

Assessment and Planning

We begin with understanding your current data environment, including inventorying data sources, identifying dependencies, and classifying data based on sensitivity and business importance.

Together with stakeholders, we establish clear goals, such as cost savings or improved performance, and determine an appropriate migration strategy, such as lift-and-shift, refactoring, or a combination.

As a Microsoft partner, we help you to select the right cloud provider, taking into account cost, functionality and security.

Data quality and transformation

We assess the need for data cleaning. Together, we’ll identify errors and inconsistencies, such as removing duplicate data, correcting inaccuracies, filling in missing values, and standardizing formats.

If necessary, we transform data from the on-premises system, which often serves as the source system, so that it can be optimally loaded into the cloud environment.

Security and compliance

A cloud platform like Fabric provides robust security to ensure that data is not easily accessible. Data is encrypted as much as possible during ingestion and transfer.

Microsoft Fabric applies the One Security principle, where access to data and reports is managed through Azure Entra configurations with role-based permissions.

For international customers, reports can be configured to allow users to access only their department’s data for their specific country. In addition, we provide standard monitoring for performance and security incidents.

Network and bandwidth

When migrating workloads to the cloud, we typically adopt a per-use model on a new platform.

While standard network capacity is often sufficient, it’s critical to assess network capacity and bandwidth when moving existing data stores.

This allows us to strategically plan migrations during low-impact times, such as after-hours or weekends, to minimize disruption.

Backup and recovery

We ensure that we can restore a platform to any point in time by creating backups, maintaining them in other designated locations, and also keeping transaction and transformation history in the platform.

In the event of a threat or failure, data can be recovered. As part of this process, we also develop a disaster recovery plan.

Testing and validation

We test the migration on a subset of your data to identify and resolve potential issues, and we verify the integrity of the migrated data by comparing it to the source data.

Always in close collaboration with business stakeholders.

System transition

Based on data use cases and workflows, we systematically transfer data to your new cloud platform. During the transition, and possibly for some time after, the on-premises data platform remains active until all data use cases are available in the cloud.

Continuous monitoring and optimization

We determine initial Microsoft Fabric costs using calculators and test representative workloads in an isolated environment with application monitoring to finalize the correct license size.

By conducting code reviews and optimizing data processing efficiency, we ensure minimal resource usage.

Additionally, we assist your infrastructure teams in optimizing underlying services for continuous performance improvement.

Data governance in the cloud

We focus on accurate and reliable data, introduce metadata management to improve discoverability, ensure compliance with regulations through collaboration with experts, and implement security measures to prevent unauthorized access.

Data catalog

A data catalog helps users find, understand, and use data. This can greatly improve the efficiency of data analysis and reporting.

In our implementations, we recommend Microsoft Purview by default for cataloging data.