Case Studies

How a Leading Automobile Manufacturer Achieved 3x Faster Reporting Through SQL Optimization

Discover how GeoPITS helped a top Indian motorcycle manufacturer enhance database performance, streamline operations, and achieve faster business-critical reporting.

Overview

A reputed Indian multinational operating in the automotive sector was experiencing severe slowdowns in reporting and service operations. With an ever-increasing customer base, its data load also grew massively, demanding a robust, optimized SQL environment to handle large-scale day-to-day transactions.

The Challenge

Job card processing time in service centres was very slow

The daily report generation process took a solid 1 hour to complete

The entire system hangs when the reports are being generated

Our Solution

Our experts analysed the complete stats collected through our in-house monitoring tool. The team holistically observed all the minute details including the SQL Server instance configurations, Database configuration, queries and procedures to identify any room for improvement.

Based on the report and analysis of the slow running SPs, the database team went ahead to fix the incorrect indexes, CPU bottlenecks, incorrect SQL Server configurations, memory allocation issues.

In addition, the slow running SPs were rewritten by the development team and extensively tested in the UAT and production environment.

Benefits

Improved average query execution by 3X

Optimised and rewritten 60+ Stored procedures in a span of 20 days.

Business critical reporting process execution brought down to 4 mins from 58 mins.

Business Impact

Faster Execution

Improved the average query performance by 3x, thus drastically cutting down processing time.

Faster Reporting

Reduced business-critical report execution time from 58 minutes down to merely 4 minutes.

Greater Stability

Eliminated system hangs during report generation, thus ensuring smooth daily operations.

Improved Processes

Rewrote and optimized more than 60 stored procedures within 20 days.

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