Download PDF
Denodo Technologies > Case Studies > City Furniture Leveraged the Denodo Platform to Establish a Logical Data Fabric in Support of a Digital Transformation
Denodo Technologies Logo

City Furniture Leveraged the Denodo Platform to Establish a Logical Data Fabric in Support of a Digital Transformation

Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Retail
Applicable Functions
  • Business Operation
  • Sales & Marketing
Use Cases
  • Predictive Quality Analytics
  • Supply Chain Visibility
Services
  • Data Science Services
The Challenge
City Furniture, an online retailer with a chain of physical stores in Florida, started out as a small family business that has grown to reach annual sales of $1 billion. While the company has been experiencing rapid growth, it encountered challenges with slow, inefficient data management technologies. The company’s extract, transform, and load (ETL) processes had high resource requirements and were slow to implement, so they impeded many important data initiatives. In addition, City Furniture’s operational and sales data systems were decentralized from the data in the transactional systems. This made it difficult to perform advanced analytics and understand operational issues such as scheduling orders, delivery delays, and returns. To grow, City Furniture needed advanced analytics to gain more visibility about deliveries, scheduling, and routing orders, and to better prepare the sales team to deliver orders. The company needed a centralized data source to provide accurate data to different teams such as sales, marketing, supply chain, and business operations, to help them make faster decisions.
About The Customer
City Furniture is a Florida-based retailer on a mission to change the way people live, with beautiful home furnishings at incredible value. City Furniture was founded in 1971 as Waterbed City, founded by Kevin Charles, and over the years the company has evolved into a leading furniture and home accents destination. Today, City Furniture represents both the City Furniture and Ashley Furniture HomeStore brands and has grown to have 16 City Furniture locations and 13 Ashley HomeStore locations throughout the state of Florida. With planned expansions throughout Southeast, Southwest, and Central Florida, City Furniture is a business focused on fast growth and exceptional service.
The Solution
City Furniture decided to embrace data virtualization, a modern data integration and data management technology that can establish an enterprise-wide logical data fabric. City Furniture integrated the Denodo Platform, a data virtualization solution, into its data architecture as the highest-level data layer for all analytics and operational systems. City Furniture connected all data sources, from basic flat-file Excel spreadsheets, to cloud databases, to a legacy IBM iSeries server platform, to the Denodo Platform’s virtual layer. With the Denodo Platform established over the profusion of data sources, City Furniture was able to virtualize all the sources and create a universal semantic layer. Today, this data layer serves as the single data delivery layer for all analytical (Cognos BI and Power BI) and operational applications accessed by the various departments across the company.
Operational Impact
  • City Furniture was able to centralize Google Analytics data with data from transactional tables, enabling a far greater number of web insights.
  • City Furniture used BigQuery to build a data modeling hub and then connected those data models to the Denodo Platform to integrate data with transactional systems, which enabled the company to generate automated reports.
  • This helped City Furniture to better understand online sales channels and generate more online revenue.
Quantitative Benefit
  • The project enabled City Furniture to deliver 40 new reports that are full of actionable production insight, and they are driving better business decisions every day.

Related Case Studies.

Contact us

Let's talk!

* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.