FactorAI
FactorAI specializes in scalable Master Data Management (MDM) solutions with a five-year track record of delivering lower Total Cost of Ownership (TCO). Our services include Product Information Management to streamline data and reduce Go-To-Market time by up to 90%, unified Customer Domain records to enhance interactions and optimize marketing, and Supplier Domain views to track data quality and manage approvals. We also provide 360-Degree Dashboards, offering comprehensive views of products, suppliers, and customers to support better decision-making. Leveraging data analysis, visualization, and integration, we highlight customer and supplier distributions, identify data gaps, and recommend sales improvements.
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Challenges
- Reading Log Files from Client Server: We set up a job that fetches the logs from the client directory and copies them to the Factor AI server.
- Creating a Dashboard with Charts: We used Highcharts to create interactive charts with drilldown functionality.
- Job Monitoring: Provides real-time monitoring of job statuses, enabling prompt resolution of issues and efficient job management
- File Reading and Alert System: Ensures timely processing of files, reduces delays, and improves overall system reliability through automated alerts.
- Database and Query Performance Monitoring: Provides detailed insights into database performance, helping to identify and address issues such as long-running queries, blocked transactions, deadlocks, and resource utilization, leading to optimized database operations.
TECHNOLOGIES WE USED
- Angular 15+
- Dot net core6
- Microsoft sql server
- HTML 5
- CSS 3
- BOOTSTRAP 4
Our Approach
Master Data Management (MDM): Centralizes and harmonizes business data, ensuring consistency and accuracy across the organization. It provides a single source of truth, integrates datafrom various sources, and facilitates better data governance and compliance.
Systems Integration: Connects disparate systems and data sources, enabling seamless data flow and enhancing inter-system communication and collaboration. This reduces data silos and redundancy, improving operational efficiency and data accessibility.
Analytics: Provides advanced data analysis and insights using predictive and prescriptive analytics for informed decision-making. Enhances data visualization, supports real-time analysis, and improves business intelligence and strategic planning.
Data Quality Management: Identifies and resolves data inconsistencies and errors, enhancing data completeness and accuracy. Monitors data quality over time and implements cleansing and validation processes to ensure reliable, high-quality data for all operations.