Extending Boundaries with Collaborative Business Intelligence

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Better value from information and data. Today’s business problems are complex and require a higher-level of technological sophistication, not only to analyze mountains of data and gather insights but also to look into the future, predict business outcomes, and use these predictions to drive actions. Such an approach to problem-solving is difficult to achieve using […]

Better value from information and data.

Today’s business problems are complex and require a higher-level of technological sophistication, not only to analyze mountains of data and gather insights but also to look into the future, predict business outcomes, and use these predictions to drive actions. Such an approach to problem-solving is difficult to achieve using simple Business Intelligence (BI) tools, given the data volumes and complexity.

An inter-disciplinary approach is required, and a process orientation to information analysis involving a combination of BI tools, data collation and collaboration (with external third party owners of data), integration architectures and technologies and engineering sciences – all integrated seamlessly to handle the problem. This is what we call Collaborative Business Intelligence (CBI).

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