Data Architecture

Enhancing the Traditional Data Architecture

Our data architects design and develop systems that enable business users to get the most out of their data. This approach incorporates both traditional and modern architectures to ensure trust, usability, and speed-to-value.

Modern Architecture

Unstructured data, often called "Data Lakes," serves businesses looking to expand their reporting and analytics quickly, without the major development costs of a traditional enterprise data warehouse (EDW). This is the company's testing grounds for new data sources. A new source can be brought in and tested alongside other data sets without the long development times. When the business determines a data set to be relevant, those data sets are then developed into the traditional (structured) EDW to ensure formatting, accuracy, speed, and trust.

Quick Discovery

• Utilize New Data Sets Quickly
• Minimal Development Required
• Enables New Analyst Insights


• Analyst Independence From Development
• Ability To Test New Data
• Ability To Design/Modify Reports

Traditional Architecture

Your business needs a Single Source of Truth to ensure that data entries are not duplicated or altered -- and a structured EDW provides you with that Single Source of Truth. With proper design and execution, multiple sources of data can be verified, condensed, cleaned, and formatted, leading to faster and more accurate reporting and analytics.


• Automated Reporting
• Traceable Data Points
• Dashboard Reports


• Trusted Data
• Data Governance Process