Data & Analytics

A Large Retail Company

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A retail company implemented a centralized data warehouse to integrate sales and CRM data from over 600 dealers using 30+ different dealer management systems across the US and UK.

A Large Retail Company

Industry

Retail Industry

Location

USA

Business Challenge

The retail company faced significant challenges in creating a unified data warehouse to consolidate sales and CRM data from more than 600 dealers who utilized over 30 different types of dealer management systems (DMS). Each DMS had unique designs, coding standards, business rules, and varying data export options, leading to difficulties in communication and data sharing. The company needed to synchronize sales and CRM data daily while minimizing errors and inconsistencies. Additionally, they required comprehensive and accurate reporting capabilities for executives and sales personnel, complicating the data management process further.

Solution

Kaara developed a comprehensive solution that included creating a global mapping schema to standardize data from the various DMS platforms. An automated transformation process was implemented to clean, filter, join, and validate data from multiple sources. An ETL (Extract, Transform, Load) toolset was designed and deployed on the machines of all 600+ dealers, enabling scheduled daily data fetching. A central administration portal was built to facilitate easy management of daily operations for the dealers, allowing a small IT staff to oversee the entire system efficiently.

Benefits

The new data warehouse provided real-time insights within 24 hours, significantly enhancing decision-making capabilities. Automated data mapping eliminated manual errors, and the continuous data transfer process was optimized to allow parallelization using multiple queues. This ensured that querying and analysis did not impede data collection. More complex analyses and reports became possible, enabling accurate troubleshooting and reducing the lag between data collection and reporting. Historical data was efficiently compressed, while reporting data remained uncompressed and partitioned for better performance. Additionally, hourly database snapshots offered shorter analysis and reporting windows, further enhancing the company’s ability to react quickly to market trends and dealer needs.