Client Overview 

A global leader in precision automotive components, the client is renowned for delivering high-quality parts to major automobile manufacturers worldwide. With a commitment to innovation and excellence, they continually seek ways to optimize production processes and maintain a competitive edge in the rapidly evolving automotive industry. 

The Challenge 

As the client aimed to integrate AI into their operations for predictive maintenance, supply chain optimization, and improved production forecasting, they encountered significant data challenges: 

• Data Silos: Critical information was fragmented across legacy systems, IoT sensors, and ERP software, creating isolated data pockets that hindered comprehensive analysis. 
• Inconsistent Data Formats: Diverse data sources led to varying formats and naming conventions, complicating data integration and analysis. 
• Incomplete and Inaccurate Data: Historical data gaps and manual entry errors compromised the reliability of their datasets. 
• Data Duplication: Redundant records inflated datasets, making it difficult to identify accurate information. 
• Scalability Issues: The surge in IoT devices resulted in data volumes that overwhelmed existing management processes. 

Mirketa’s Solution 

Mirketa implemented a robust data management strategy tailored to the client’s needs, laying a solid foundation for AI integration: 

Data Consolidation and Harmonization 

• Aggregated data from all sources into a unified platform. 
• Standardized data formats and naming conventions for consistency. 

Advanced Data Cleansing 

• Identified and corrected errors, eliminating duplicate records. 
• Filled missing values using predictive algorithms. 

Enhanced Text Processing 

• Utilized NLP techniques for text extraction from unstructured data like maintenance logs. 
• Applied text mining and analytics to uncover patterns and insights. 

Scalable Infrastructure Implementation 

• Migrated data to a scalable cloud environment capable of handling increasing volumes. 
• Established real-time data processing capabilities. 

Continuous Data Quality Monitoring 

• Implemented data quality analysis tools to ensure ongoing accuracy and relevance. 
• Set up automated alerts for data inconsistencies. 

Value Delivered 

Mirketa’s solution delivered substantial benefits and measurable improvements: 

• 35% Increase in Data Accuracy: Enhanced data integrity provided a reliable foundation for AI applications. 
• 40% Reduction in Downtime: Predictive maintenance algorithms, powered by cleansed data, significantly decreased equipment failures. 
• 30% Improvement in Production Efficiency: Streamlined processes and accurate forecasting optimized production workflows. 
• 25% Decrease in Inventory Costs: Improved supply chain analytics led to better inventory management and reduced overhead. 
• 50% Faster Decision-Making: Accessible, high-quality data enabled quicker, more informed decisions across departments. 
• Scalable AI-Ready Infrastructure: Positioned the company for future growth with a robust data management system. 

Client Testimonial 

” We now make faster, smarter decisions and are better equipped to meet future demands. Mirketa helped us transform fragmented, inconsistent data into a powerful strategic asset. Their expertise not only prepared us for successful AI integration but also unlocked immediate operational efficiencies. We’re excited about the potential for ongoing innovation.” 

— Chief Operations Officer, Global Automotive Component Manufacturer