The hierarchical structure of regulatory reports makes subsequent evaluation difficult. With “Q_Regulatory Analytics with SAS”, financial institutes are able to prepare, analyze, and use their reporting data efficiently.
The analysis of personal data provides analysis into customer needs - yet compliance with data protection must not be neglected.
Target the relevant contacts with an even more systematic approach - predictive analytics facilitate target group identification for SAP Hybris Marketing campaigns. Q_PERIOR tested out the possibilities in practice as part of a hackathon.
We are in the midst of the BI hype cycle. As a result of increased demands on flexibility, response times, data holding and usage, many companies are moving away from the classic data warehouse to BI ecosystems.
Collecting and evaluating data for companies is becoming more and more of a vital success factor in the wake of digital transformation. Big data solutions are already helping companies to precisely analyze and predict customer behavior, thereby enhancing the purchasing experience of their own customers.