In an IMF web forum, Thursday, Erick Falthzik, Business Intelligence Delivery Manager for AutoTrader.com, discussed the attempts by the organization to create raving fans through their financial data warehouse.
Falthzik gave an overview of the organization and explained why it was necessary for the enterprise to build a financial data warehouse. He also provided insight into the technical challenges the organization faced, the solutions that they created, as well as the result of the solution implementation.
Company Overview
AutoTrader was created in 1997 and is headquartered in Atlanta, Ga. The organization is the “leading internet automotive classifieds’ marketplace.’ Currently there are over 2,000 employees nationwide and approximately half of those individuals work at the Atlanta headquarters while the rest make up the field sales force across the country. There are teams also stationed in Detroit and Los Angeles to be closer to manufacturing sites. There are currently about 20,000 customers nationwide and the website showcases 3 to 4 million listings. The website attracts, 14 million unique monthly visitors, and this past Monday the website had a record setting of almost 1 million visitors which was attributed to what Falthzik described as an advertising blitz during the NBA All-star weekend.
There are three different brands including: AutoTrader.com, AutoTrader Classics, and AutoTrader Latino.
Why Build a Financial Data Warehouse?
The organization had years of rapid growth and projected that there would be a continuation of this growth. The culture thrives on accurate, timely, and insightful information. At the time when the project was initiated, the current financial reporting application supporting revenue was costly to maintain, difficult for employees to navigate and understand, used an interface that had no ad hoc analytic capabilities, and was slow to change as the business changed. In addition, it was also providing multiple versions of the “truth.” As a result, the technical challenge became merging data from numerous systems including:
· -M.A.T. (My AutoTrader)
· -C.A.R.S. (CRM System)
· -Kenan Accounts Receivable
· -Dealer Community System
The business technology stack for the organization included an oracle database, Informatica-ETL (extract, transform, and load), and Reporting using MicroStrategy, Java, Crystal Reports, and SAS.
Technical Solutions
The organization decided to devise a technical solution which would create a financial data warehouse. The data marts that were created were aimed to serve two distribution methods which included:
1. Utilizing MicroStrategy for power users (finance team, dealer sales business managers, and sales operations.)
2. FastLane Portal written in JAVA was sent to sales reps,sales district managers, and sales regional managers/directors.
To view the powerpoint presentation please click here.
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