Understanding Business Trends from Data Evolution with Tornado

Azhar Ait Ouassarah (1, 2) , Nicolas Averseng (2) , Xavier Fournet (2) , Jean-Marc Petit (3, 1) , Romain Revol (2) , Vasile-Marian Scuturici (3, 1)

1 BD - Base de Données
2 Axway Software
3 INSA - Institut National des Sciences Appliquées

Nowadays, every company could understand how its business evolves from the data (deluge) generated by its activities. Roughly speaking, two types of data co-exist: historical data and real-time data from which business analysts have to take their decisions in a timely fashion. In this context, the notions of time (application time and transaction time) and traceability turn out to play a crucial role to understand what happened in the company and what is currently happening. Tornado offers a fullfledged platform to deal with such data and is based on two key features: 1) a bi-temporal DB specifically designed for handling historical and real-time data, 2) a GUI that aims to facilitate query formulation for business analysts. In this demonstration, we provide the key resources to let the visitors play with the Tornado functionalities to interact with predefined data.

Mots clés: Business Intelligence; Business Activity Monitoring; Temporal database

Domaines: Base de données [cs.DB]

Azhar Ait Ouassarah, Nicolas Averseng, Xavier Fournet, Jean-Marc Petit, Romain Revol, et al.. Understanding Business Trends from Data Evolution with Tornado. International Conference on Data Engineering, Apr 2015, Seoul, South Korea. pp.1456-1459, ⟨10.1109/ICDE.2015.7113400⟩. ⟨hal-01170156⟩