Data Engineering | Logic20/20

Data Engineering

Laying the foundation for successful data-focused initiatives

Big data has become so commonplace that hardly anyone bothers to call it “big data” anymore.

 

The need to wrangle a constant stream of information from multiple sources, in multiple formats, and of varying degrees of quality and accuracy is now a daily challenge for most organizations.

 

Sure, all that data holds the key to better business decisions and AI/machine learning innovations… but first it has to be ready for the task.

 

Data engineering fills the gap between raw data and the sophisticated analytics that can help your business achieve its goals.

 

When data is properly engineered, data scientists, decision makers and others in the organization can access the data they need quickly and utilize it with total confidence—and AI/machine learning platforms have a reliable source of information from which they can continuously learn and improve.

 

 

We know how to create a data strategy and optimize your pipeline -

all while using best practices to keep costs low.

 

We've done it before - and we're ready to do it for you, too.

The Logic20/20 difference

At Logic20/20, data engineering isn't just about cleaning and moving data—it's about making a positive impact on your business.

 

Purpose-built

We make sure that we thoroughly understand your needs over the short and long term to prevent over-engineering.

 

The right technology

Based on your specific needs, we’ll make sure we pick the right type of database (SQL, AzureSQL, Cosmos, etc.) and approach (metadata ETL framework, config-based, etc).

 

Design for change

The engineering team checks in with the business regularly to ensure the design continues to meet your needs.

 

“Every company has big data in its future, and every company will eventually be in the data business.”

Tom Davenport, author, The AI Advantage

 

Ready to put data engineering to work for your organization? Let's talk.