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A central hub for data insights
Data is everywhere in your organization, spread across departments, applications and silos. Unifying your data into an accessible, centralized platform is the key to consistent, accurate and real-time insights for your business.
Depending on the complexity of your data and your business challenges, we implement your advanced data platform using Microsoft Fabric, Databricks, or Synapse.
Make data-driven decisions based on the past, the present, ánd the future
A modern data platform supports analysis and prediction based on machine learning and statistical calculations.
It addresses your organization’s data challenges through efficient data ingestion, integration, processing, and analysis. The robust architecture ensures data quality, scalability and flexibility to meet your growing data needs.
Your centralized data platform
Depending on your specific needs, the complexity of your data, and your business challenges, your platform can contain the following elements:
-
An operational data lakehouse environment
configured in Microsoft Fabric that serves as a central repository for all data from various source systems. -
Efficient and robust automated data pipelines
that extract, transform, and load (ETL) data from source systems into the data platform. These pipelines provide an automated and reliable data flow. -
Integrated data sets
from multiple sources are harmonized and integrated into a unified format, creating a single source of truth for analysis and reporting. -
Easy-to-use user interfaces
such as Excel spreadsheets or PowerApps, that allow users to interact with data, create reports, and manage data when separate applications cannot. -
Interactive Power BI dashboards
that visualize KPIs and other relevant insights based on collected and prepared data. -
Extensive documentation
that provides a comprehensive overview of the data platform, including its architecture, data model, governance policies, and security measures, as well as operational manuals to guide users and administrators. -
Training
to familiarize users and administrators with the data platform, and comprehensive support materials such as user guides and FAQs.
How data platform
implementation
works
Data ingestion and integration
Pipeline development
Data storage
We implement a medallion architecture in your data lakehouse, organizing data into bronze, silver, and gold layers to manage different stages of processing.
In the bronze layer, we store raw, unmodified data, while the silver layer contains cleaned, transformed, and validated data. The gold layer holds data that has been carefully modeled and optimized for analytics, often structured in a rigid schema.
Additionally, we optimize your data storage by utilizing efficient formats like Delta Lake to enhance query performance and reduce storage costs.
