QORELA DC
INTERPROBE BİLGİ TEKNOLOJİLERİ A.Ş.
Products
INTERPROBE BİLGİ TEKNOLOJİLERİ A.Ş.
Features
Qorela DC offers comprehensive data processing and analysis capabilities under four main categories.
Under Ingestion & Analytics, the platform supports handling heavy data throughput, scalable architecture, invalid data extraction, and bulk ingestion. Additionally, it provides AI-powered features such as speech-to-text conversion, face recognition, object recognition, license plate recognition, voice biometrics, and speech diarization. Advanced data processing techniques, including offline translation, language detection from speech, streaming data ingestion, optical character recognition, and named entity recognition, are also available.
The Analysis & Search section includes geospatial analysis, proximity analysis, co-occurrence analysis, one-click analysis, and advanced search functionalities. It also enables users to discover relationships between entities through pathfinding algorithms, conduct investigations, and define specific analytical workflows.
The Dashboard & Monitoring category allows users to create customizable dashboards for data profiling and real-time monitoring. Features like call listening and target tracking on maps enhance user interaction and situational awareness.
Finally, the Alerting system provides customizable alert rules, geofencing alerts, and retrospective data-based alerts. Notifications can be sent via multiple channels, including email, in-app notifications, SMS, and OTT messaging applications.
Description
Qorela DC, Big Date Analytics Platfrom, is a generic product with a primary aim to create the world's best user experience platform for working with data, one that empowers users to ask any question in a facilitated way, even if one has no technical background. To achieve this, our platform enables the users to not only integrate, manage and store data, but also perform the fully interactive, human-driven, machine assisted storytelling analyses. Moreover, Qorela DC provides a deep analysis and depiction of the processed data via the graphical representations.