Wizrom Software organized in Bucharest, on the 14 of March, at Hilton Hotel, a seminar presenting the latest innovative social B.I solution, Necto, which transfers the „social networking” phenomenon in a management concept.
The new B.I application represents the most adapted solution to an innovative management style, which takes into account the need for interaction and collaboration, to meet the increasing targets. Necto reports the emergence of a new generation of collaborative BI solutions that allows to exploit the power of „social intelligence”, in order to have complete information with a higher relevance.
The topics that were discussed during the event were
- the associative search of references on Google, Facebook or Twitter, by association with elements of the analysis;
- the first B.I solution that can allow you to define exceptions, based on the recorded data. Search algorithms can identify any anomalies in the data evolution, which actually leads to the generation of exceptions;
- collaboration tools and process automation that allow users to focus on data analysis, than on sorting information – which is automatically generated.
Wizrom Software organized in Bucharest, on the 14 of March, at Hilton Hotel, a seminar presenting the latest innovative social B.I solution, Necto, which transfers the "social networking" phenomenon in a management concept.
The new B.I application represents the most adapted solution to an innovative management style, which takes into account the need for interaction and collaboration, to meet the increasing targets. Necto reports the emergence of a new generation of collaborative BI solutions that allows to exploit the power of "social intelligence", in order to have complete information with a higher relevance.
The topics that were discussed during the event were
- the associative search of references on Google, Facebook or Twitter, by association with elements of the analysis;
- the first B.I solution that can allow you to define exceptions, based on the recorded data. Search algorithms can identify any anomalies in the data evolution, which actually leads to the generation of exceptions;
- collaboration tools and process automation that allow users to focus on data analysis, than on sorting information – which is automatically generated.