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Collaborative Business Intelligence (BI) extends the analytic capabilities of business intelligence tools with collaboration capabilities to enable improved data-driven decision making.
John O’Rourke, Vice President of Marketing at Decisyon, explains the interest in Collaborative BI tools. He said that “in most organizations there is a lag between insights obtained and decisions made. This is often due to the number of emails, phone calls and meetings that have to occur for managers and executives to understand the implications of a particular set of data points, and to agree on a course of action – especially when collaboration needs to occur across different parts of the business.”
Collaborative BI focuses on the following three areas:
- Collaborative Interaction – promotes better interaction among BI users, allowing better communication and discussion of discoveries, and their meaning and possible options.
- Collaborative Decision Making – accelerates the ability for teams to work together to make assessments and decisions. Decisions can then be tracked and the impact and results of those decisions can be analyzed.
- Information Enhancement – enables users to provide and share their interpretation of BI results based on their knowledge and experience
Howard Dresner, founder and chief research officer at Dresner Advisory Services, said that “this year there is a rebound in interest in Collaborative BI, placing it above such high-profile topics such as big data and social media. In addition, we see a much closer alignment between the tools and capabilities that users want and the features and functions that vendors are incorporating into their offerings.”