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Data Visualization Best Practices

When we utilize Business Intelligence software, we draw on historical data to give us deeper insight into the factors influencing our business challenges or successes. So, how can we tell the best stories with our data visualization reports?

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How Do Business Intelligence and Analytics Differ and Overlap?

The way to improve on our decision-making process is to tap into this data in two ways. Business intelligence (BI) uses data to look at the efficacy of past actions while Business Analytics (BA) uses data to predict future outcomes. Both use the same data to gather their insights, but they approach the data pool in a different way.

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Problems and Solutions in the Business Intelligence Market

Most companies have significant problems integrating data between end-user tools such as Excel, Access, graphical/dashboard tools, and various others. Data exists in one platform, but needs to be consumed in different platforms. Bringing connectivity to the BI market is absolutely essential. Businesses cannot afford to continue in applications that are not connected or that are super laborious to translate information from one platform to another.

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Why do you need a Business Intelligence (BI) Solution?

A Business Intelligence (BI) solution helps in producing accurate reports by extracting data directly from your data source. With Business Intelligence solutions today eliminate the time consuming task of consolidating data manually. Since BI tools can produce recent data, it allows managers to monitor businesses in real-time.

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