Emerge Enhances Logistics Efficiency with Sigma and Snowflake, Achieving 32% Cost Reduction
Customer Company Size
Mid-size Company
Region
- America
Country
- United States
Product
- Sigma
- Snowflake
- Fivetran
Tech Stack
- ETL
- Data Visualization
- Data Exploration
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Data Mining
- Application Infrastructure & Middleware - Data Visualization
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Software
Applicable Functions
- Logistics & Transportation
- Business Operation
Services
- Data Science Services
- System Integration
About The Customer
Emerge is a digital freight marketplace pioneer that is transforming the logistics industry by efficiently matching shippers with carriers to optimize freight capacity. The company operates a cloud-based procurement software platform that helps shippers find available capacity while enabling carriers to bid on and optimize their workloads. With $150M in venture capital, Emerge is well-positioned to disrupt a critical segment of the logistics industry. The company has been expanding rapidly, including opening a new office on the East Coast in 2022, and is focused on scaling its operations to meet growing demand.
The Challenge
Emerge was experiencing rapid growth, necessitating a more robust analytics platform to manage and scale its operations effectively. The existing analytics tools, such as Periscope, were limited to embedded customer reporting and did not provide the necessary visibility into operational efficiency. The data team recognized the need for a more powerful solution to support the company's expansion and improve data-driven decision-making.
The Solution
Emerge implemented Sigma in early 2021, integrating it with Snowflake to enhance its data analytics capabilities. A Fivetran ETL connector was used to move data from 600 unique sources into Snowflake, with Sigma serving as the primary analytics engine. The platform's user-friendly spreadsheet interface allowed subject matter experts to perform data wrangling and engineering independently, freeing up the infrastructure team for strategic tasks. Sigma became integral to sales, business development, and executive communications, with C-suite members using Sigma-generated visuals in board meetings. The platform's ease of use and powerful analytics capabilities made it the preferred choice over other BI tools like Tableau and PowerBI.
Operational Impact
Quantitative Benefit
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