Collaboration a best practice in BI

Going it alone is rarely a sound strategy in business operations. Business intelligence (BI) technology is no exception to this rule, with systems and practices that encourage collaboration creating great results for their users. Howard Dresner of Dresner Advisory Services recently took to the Sand Hill blog to explain the findings of his BI market survey.

Connections and data
Dresner explained that collaboration among workers to solve BI problems could be very helpful to companies, if and when they find ways to master it. He posited that working together could be the "next really big thing" in the field, and noted that leaders in the BI field often extend their proficiency and expertise through an infusion of collaborative work. Once workers begin sharing experience and knowledge, the whole company prospers from each individual user's discoveries.

When going it alone, employees have to work their way toward the proper conclusion. Dresner specified that collaboration changes the nature of the field, allowing knowledgeable co-workers to add their compatible results to the problem-solving scheme and expedite the quest for the right answers. Those insights are then spread even further, helping the firm along the path to better information and allowing it to pull ahead of slow competitors.

There was one note of caution in Dresner's assessment. Collaborative technology helps companies that have a culture based on working together. If firms do not have the social connections in place and organizational support for teamwork, technological solutions will likely do no good. However, Dresner explained that his view of companies' progress in this area is generally positive, as many firms have expressed interest in becoming more collaborative and taking advantage of joint insights in the future.

Panorama's advantage
Panorama's headline product, Necto, was among the leading BI systems mentioned in Dresner's report. Its collaboration and self-service features allow a wide variety of users within a company to form teams that get optimal results from data sources. Rather than relying on a company's existing communications platform, Necto contains its own social BI features.

The software goes beyond enabling team connections and actually suggests them based on compatible areas of research. Workers can find which of their peers have the most to contribute to their own projects and can use that knowledge to complete analyses quickly and effectively. By helping users build complementary complimentary teams, Necto can be the tool companies need to take their analytics programs to the next level.

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