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Faster Self-Service Analytics with Salesforce
Technology Category
- Analytics & Modeling - Big Data Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Automotive
- Transportation
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Fleet Management
- Predictive Maintenance
Services
- Data Science Services
- System Integration
The Challenge
Ryder System, Inc., a leading provider of fleet leasing and maintenance, dedicated transportation, and supply chain management solutions, was facing several analytic challenges. They had an in-house analytics team of over five people, but there was no centralized data source. The team heavily relied on IT, resulting in long lead times for project completion. They were using various CRM systems that collected product line information on customer transactions, contacts, prospects, and pipeline opportunities for analysis. However, blending Salesforce data with other data sources was labor-intensive and sapped analyst productivity. Incorporating advanced analytics and visualizations complicated the process even further.
About The Customer
Ryder System, Inc. is a leading provider of fleet leasing and maintenance, dedicated transportation, and supply chain management solutions. The company serves customers globally and is publicly traded on the NYSE under the symbol 'R'. It is a component of the Dow Jones Transportation Average and a Fortune 500 company. Founded in 1933, Ryder System, Inc. has an annual sales revenue of $6.5 billion as of 2015. The company has over 50,000 B2B customers and operates a fleet of more than 185,000 vehicles at over 700 locations.
The Solution
Ryder System, Inc. adopted Alteryx with Salesforce to overcome their analytic challenges. They used a trial license of Alteryx and web-based training to familiarize their team with the tool. Early successes in data blending were shared with the team, leading to a decision to initiate a full pilot with the entire analytics team. Alteryx helped the company to consolidate customer data from multiple CRMs, eliminate repetitive tasks performed in running reports, and merge spreadsheets. It also allowed the company to realize significant efficiencies where data from entire Salesforce objects can be queried. Production reports can now be run with the click of a button.
Operational Impact
Quantitative Benefit
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