The software, Panorama Necto, manages knowledge scattered across the enterprise by identifying relationships between workers based on projects and skills. The “intelligence engine” then suggests other enterprise users of relevance to a task at hand and, over time, will record and organize work linked to that relationship for easier future retrieval.
The system “understands all those connections,” explained Eynav Azarya, Panorama’s CEO. “The value for business is huge.”
When a report is to be created about a customer, for instance, different users across the enterprise with a connection to that customer will find out about each other through this socially enabled approach to knowledge management. They’ll then be able to share information they each house.
The integration of social media with business intelligence takes things to a different level, said Shiau, “especially when we’re talking about things like tracking individual user’s activities or interests with the objective of connecting people with similar business goals and BI requirements.”
Azarya noted that, currently, the process through which everyday transactions are fed through a business is quite similar considering enterprise resource systems are commonplace. But, he added, quickly amassing the required information for a report and assembling a meeting of the appropriate decision-makers is where the competitive differentiation lies.
Moreover, Panorama Necto, according to Azarya, moves away from the traditional form of high-level collaboration where enterprise users toil at the level of the portal or dashboard and attempt to derive some business intelligence from too broad a set of data.
“Think of how much data is being aggregated on one KPI? How can I collaborate on a dashboard?” said Azarya.
And, while the ultimate goal of most business intelligence initiatives is to be all-encompassing and enterprise-wide, Azarya doesn’t believe in a perfect world. Even a software like Panorama Necto should be first introduced at the department or project level, otherwise the pre-work to prepare all users and data can often be too a great a hurdle for most enterprises, he said.
Follow Kathleen Lau on Twitter: @KathleenLau
