How data teams use GiQ to mitigate data chaos
Explore real-world stories of practitioners using GiQ to conquer difficult data issues and improve decision-making.
Enhancing Semiconductor Manufacturing with Graph Anomaly Detection
Revolutionizing Used Car Price Prediction with Neural Graph Analytics
Enhancing Manufacturing Test Processes with Graph Analytics
Haven't found the right case study?
Look at these use cases to see how GiQ can help!
Sales & price forecasting
Visually map sales data, highlight patterns and trends that might be missed by traditional methods, understand historical sales performance, and predict future trends accurately.
Inventory management
Manage inventory more effectively, reducing the risk of stockouts or overstock situations. GiQ's insights ensure that inventory levels are aligned with predicted demand, leading to cost savings and improved customer satisfaction.
Customer personalization
Analyze relationships within customer data to identify distinct customer segments. Tailor marketing strategies and product recommendations to different customer groups and improve ROI on sales efforts.
Operational efficiency optimization
Find inefficiencies and optimize processes to reduce operational costs. Minimize downtime, reduce waste, and improve overall efficiency, leading to significant cost savings.
Patient risk prediction in healthcare
Map relationships within diverse datasets, including medical histories, lab results, and lifestyle factors, to provide a holistic view of patient health. Predict potential health issues before they arise and implement personalized preventive care plans.
Demand forecasting
Identify emerging trends and shifts in consumer behavior to improve planning for product launches, setting sales targets, and adjusting marketing efforts. Use insights for confident decision-making.