Data Architecture

Enhancing the Traditional Data Architecture

As a result of a data & analytics strategy, 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 & analytics quickly, without the major development costs of a traditional EDW. This is the company's testing grounds for new data sources. A new source can be brought in and tested along side 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

Self-Service


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

Traditional Architecture


A structured EDW is the "Single Source of Truth" that all businesses require. With proper design and execution multiple sources of data can be automatically cleaned & formatted, and stored amazing data sets available to the business for faster and more accurate reporting and analytics.

Reporting


• Automated Reporting
• Traceable Data Points
• Dashboard Reports

Governance


• Trusted Data
• Data Governance Process