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Business Intelligence Systems and Data Organization
Business Intelligence Systems and Data Organization
A company can plug holes in their Data Management processes by mapping their data and identifying the most appropriate drivers for getting insight from the data. This will inevitably lead to more effective BI implementations, with business benefits like reduced time spent on reporting and increased accuracy of results. BI is a much needed business intelligence tool, however it has many deficiencies including: managing data, reporting, and analysis. BI is designed to leverage data as an assets but the prepping and cleaning of data can be time consuming and costly. A company may want to consider spending less money on Salesforce or Oracle for BI software and focus more on developing internal business intelligence (BI) processes, training personnel, conducting workshops and creating dashboards with Excel to improve productivity across the organization The roles, responsibilities and activities of a Data Management professional at all levels. This guide covers what it takes to successfully develop, manage and use data effectively in business organizations across the entire lifecycle.
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