Enterprise Data Architecture

In a world where data volumes grow exponentially and business needs constantly change, an enterprise data architecture is the foundation you need to take advantage of all of your data.

Discuss Your Data Architecture Needs

A modern data architecture eases the access to – and promotes usage of – large volumes of data from traditional and non-traditional sources.

We build secure and adaptable architectures to help customers overcome these common challenges that arise from rigid or aging architectures:

Inability to address business requirements quickly enough
Inability to process data in real-time or near real time
Difficulty handling big data (huge volumes, streaming, and multitude of data sources and types)
Discrepancies in how data is gathered, processed, and used
Lack the infrastructure needed to support advanced analytics

Our Data Architecture Services

Enterprise Data Architecture

Cloud-based, on-premise, and hybrid–we build secure and flexible data architectures that promote the use of high quality, relevant, and accessible data. Built to grow along with your business, a solid data architecture supports your analytics needs, including business intelligence, data science, custom applications, and regulatory reporting.

Data Warehouses and Data Marts

We build data warehouses on modern platforms using tried-and-true techniques to provide a central, governed location for structured and semi-structured data assets. We advise where your data should reside – in a data warehouse, a data lake, or a combination of the two.

Cloud Data Migrations

We can migrate your data assets to a modern, scalable cloud-based database platform such as Snowflake or any of the database platforms available on AWS and Azure. Your custom migration plan will include stand-up and configuration of the platform with technical migration details for all environments, training, and go-live procedures.

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Platform Health Checks

Get an evaluation of your existing Microsoft Azure or AWS environments for operational excellence, security, reliability, performance efficiency, and cost optimization. We'll provide detailed recommendations and guiding best practices to improve on these five areas and get the most from your investment.

We can also help you with:

Enterprise-wide master data management - data cataloging - flexible and scalable ETL and ELT strategies - strategies for and implementation of data storage (operational data stores, data warehouses, and data lakes) - data modeling - data governance - data quality - data lineage - data preparation