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How Data Visualization Drives Business Improvement
For many business managers, analyzing customer data can be a time-intensive and costly process. But a new technology is transforming the way that managers transform customer feedback into meaningful insights – data visualization.

With data visualization, managers can look beyond structured and unstructured customer data. Instead, they can use visualization to gain the insights they need to make actionable business decisions. 

How Does Data Visualization Work? 

Typically, business managers struggle to visualize customer data, and perhaps it is easy to understand why. 
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Managers will need to mine structured and unstructured customer data sets to obtain in-depth customer insights. However, the time and costs needed to do so can be exorbitant. And the process of data mining can be overwhelming as well, particularly for managers who are analyzing customer feedback for the first time. 

Ultimately, data visualization provides a quick, easy way to understand customer insights. It provides managers with charts, graphs and other illustrations based on customer data. That way, managers won't have to struggle to analyze large amounts of customer data to generate the insights they need to drive business improvements. 

How Can Business Managers Incorporate Visualization Into Their Data Analysis Efforts?

The combination of text analytics and Self-Service Text Analytics brings data visualization to business managers at companies of all sizes and across all industries.

Text analytics enables managers to collect customer data from blog posts, web polls and surveys and other online sources. This service even allows managers to obtain customer feedback over an extended period of time and access this information at their convenience. 

Meanwhile, Self-Service Text Analytics works in conjunction with text analytics to streamline data analysis. Self-Service Text Analytics allows managers to take the customer feedback that they obtain via text analytics and visualize it via interactive PDF (iPDF) reports. 

Each interactive PDF (iPDF) report may contain dozens of visualizations that highlight consumer sentiment, customer loyalty and other pertinent customer metrics. The visualizations are based on user-generated content provided by a manager to provide timely, accurate business insights. As a result, a manager can produce an interactive PDF (iPDF) report to understand why customers may select one brand over another, how customers rank a company's products and services and much more. 

In addition, managers can produce an interactive PDF (iPDF) report in just minutes. 

To create an interactive PDF (iPDF) report, a manager first needs to register for Self-Service Text Analytics. This service's registration process takes only a few seconds to complete.

Next, a manager will need to upload an Excel spreadsheet that includes user-generated content. This spreadsheet may consist of content from blog posts, social networks and other online sources and will serve as the basis of the interactive PDF (iPDF) report. 

After the upload is finished, a manager's work is done. Self-Service Text Analytics will assess the user-generated content and issue an interactive PDF (iPDF) report via email within about 15 minutes. The report is accessible via desktop computer, laptop, smartphone or tablet, allowing managers to analyze customer insights from any location, at any time. 

Perhaps best of all, managers can reap the benefits of data visualization for free. Self-Service Text Analytics is available at no cost and ensures managers can avoid the headaches associated with data mining. Conversely, Self-Service Text Analytics will produce visually appealing interactive PDF (iPDF) reports that visualize customer insights like never before. 

For managers who want to get the most out of customer feedback, data visualization is a must. The technology empowers managers to analyze charts, graphs and other illustrations and obtain the insights they need to help a company bolster its products, services and customer interactions. 

Summary

Data analysis should be a fast, simple process for business managers. Unfortunately, this rarely, if ever, is the case. But with data visualization, managers can illustrate customer insights in a reader-friendly format any time they choose. Data visualization is available via Self-Service Text Analytics and ensures managers can use illustrations to understand customer behaviors and trends. It often takes the guesswork out of data analysis and helps managers accelerate their data analysis efforts. Plus, data visualization may eliminate the need for data mining, helping managers save time and resources as they search for ways to transform customer feedback into comprehensive business insights. 

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