Data-to-Decision Accelerator:
Data Engineering
The path to making high quality decisions based on data is a complex undertaking.
Find out where you should focus next to unlock the most value
How It Works
All good outcomes start with collaboration. Our team works together with your business and technical stakeholders to understand your data and how it relates to your business.
In our Data Engineering offering we work with your team to develop a domain model of the business entities and relationships that your business is organized around.
Through that process we define a common data model and architect a unified data hub for your needs.
Common Challenges
We help our clients overcome data challenges
Onboarding new data sets and Data Integration
Creating cleansing and transformation scripting and production error handling
Launching new data engineering infrastructure and data ops
Common Data Model enhancements and refactoring
Common Data Model enhancements and refactoring
Key outcomes
Accelerate Analytics Development
Deepen Insights based on cleaner data and relationship models
Accelerate Data Source Ingestion
Rapidly Scale Data Solutions
Develop training on data ecosystem best practices, onboarding and operations
Key Outputs
A Common Data Model (CDM)
A database structure purpose built to your business needs that serves as a common well organized source to drive analytics from.
Data Pipelines
Finalized Data Pipelines from input through ETL and Validation to the CDM
Data Management Infrastructure
To support Data Onboarding, Data Processing Job management and production error reporting and resolutions.
Operational and Data Model Documentation
Fully documented data structures and data flow procedures from inputs through internal processing jobs to API outputs. All the documentation you need to operate your data ecosystem.