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| Data Analytics and Business Intelligence |
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| Business Intelligence answers the gap between data and action. The fast pace of business and the complexity of the market, organizations should perform advanced data analysis to help them analyze the marketing key business trends, within and across departments. |
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| Applying the business intelligence implementation methodology provides leverage from industry and system knowledge that will accelerate your company’s success, it decrease the cost of analytics implementation, minimizes project risk while delivering maximum value. The methodology process involves (1) needs validation, (2) planning, (3) business analysis (4) design (5) build, and (6) deploy. |
| Business Intelligence and Data Analytics cover the following: |
| Correlation Insights - |
This is a simple statistics help managers understand what’s appening and provide senior management with a concise snapshot of organizational performance. |
| Decision Support - |
sophisticated analysis that helps users to analyze “why it is happening?”. “what’s happening?” This level of analysis helps managers drill into the data to uncover and moves the organization closer to taking action. |
| Predictive Insights - |
This level of analysis provides “what if?” scenarios than “why it’s happening?” This allows organizations to better understand the result of potential actions before they are taken. |
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