Advanced analytics
Ever faced issues like inadequate or surplus inventory, customer service disruptions, data inaccuracies, or fraud? Or perhaps you've struggled with a lack of insights for pivotal business and strategic decisions? These challenges can be mitigated with advanced data analytics, enabling you to fine-tune every aspect of your business—from internal operations and marketing to sales and HR.
Imagine having a tailored data analysis strategy that includes robust algorithms for sales forecasting, customer segmentation, and fraud detection. With such insights at your fingertips, you'll gain unprecedented control over both your business operations and customer relationships.
Used technologies
- Statistical analysis in the R environment
- Oracle Data Mining
“
We rely on data analytics from CEOS Data for critical decision-making, whether it's market operations, tailoring campaigns to specific customer groups, or internal performance metrics. This isn't just for the boardroom; analytics are leveraged across the board—from our corporate headquarters to the front lines in our pharmacies.
Jiří Navrátil
CEO of E-commerce, Dr. Max
”
O2 Czech Republic: reducing the number of claims in invoicing thanks to deep analysis and automated document control
Case