Oxford Industries speeds up data access for the business with Sigma

Oxford Industries Turns to Sigma for Better Data Accessibility and Driving Business Value

Faster data access

for business users, not just the data team

Excel workflows rebuilt

directly inside Sigma

One consolidated view

across multiple source systems

Industry

Retail & Consumer

Key highlights

Faster data access for the business, not just the data team
Complex Excel workflows replicated directly inside Sigma
Multiple source systems consolidated into one place the business can use

With our ability to get the data to the business faster, that's really where Sigma is shining. Making data accessible. Expediting the process from the consolidation of information from multiple systems into a usable fashion for the business users to bring value.
Dustin Smerdon, Director of Data & Analytics, Oxford Industries

About Oxford Industries

Oxford Industries operates in retail, where understanding store performance, location, and customer behavior is core to the business, in Dustin Smerdon's telling.

Oxford Industries is a leading American apparel and lifestyle brand company headquartered in Atlanta, Georgia. Founded in 1942 as a manufacturer of military uniforms, the company is publicly traded on the New York Stock Exchange under the ticker symbol OXM, led by Chairman, President, and CEO Tom Chubb, and generates more than $1.5 billion in annual revenue with more than 6,000 employees.

Its brand portfolio includes Tommy Bahama, known for resort wear, tropical hospitality, and restaurants; Lilly Pulitzer, known for its colorful prints and coastal style; Johnny Was, known for bohemian, California-inspired fashion; and Southern Tide, known for classic coastal prep wear, along with additional labels including The Beaufort Bonnet Company and Duck.

The Challenge

When Oxford Industries went looking for a business intelligence platform, the goal was data exploration and faster data accessibility for the business.

In retail, understanding the store, the location, and the customers coming in is fundamental to the business.

The Solution

Oxford Industries put Sigma in the hands of the business once the team saw it could handle real analytical work. Replicating complex Excel worksheets directly inside Sigma proved it could support how the business already worked with data.

In practice, Oxford Industries extracts data from source systems into Snowflake, cleans it, and materializes it into tables. Sigma connects directly to that Snowflake environment, and the business explores store, location, and customer data on its own, once it has the proper Snowflake grants.

The Impact

The clearest result is speed. Moving data into Snowflake and then into Sigma shortens the distance between the data team and the business. That same connection lets the team rebuild complex Excel worksheets directly inside Sigma and pull multiple source systems into one usable view.

We were able to replicate some pretty complex Excel worksheets inside of Sigma relatively easy.
Dustin Smerdon, Director of Data & Analytics, Oxford Industries