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What Does a Customer Report That Contains Data Visualizations Look Like?
Data visualizations deliver immense value, as they enable business managers to use charts, graphs and other illustrations to understand information. Thus, for managers who want to assess customer feedback from a broad range of online sources, data visualizations can make it easy to maximize the value of customer information consistently. 
Data-Visualization-5.3.16-Large
How Do Data Visualizations Work?

With data visualizations, business managers can examine a wide assortment of customer feedback at any time. Data visualizations can showcase customer feedback from many online sources as well, including:
  • Blog Posts: Bloggers frequently share their thoughts and feelings about a brand, its products and its services. Meanwhile, data visualizations can feature feedback from bloggers, allowing managers to understand whether bloggers feel positively, negatively or neutrally about a brand.
  • Social Networks: Facebook, Twitter and other social networks provide customer data from social impressions and shares. However, these customer insights often provide limited value for managers. On the other hand, data visualizations allow managers to retrieve social data that they can transform into meaningful insights with ease.
  • Customer Surveys: Although managers may perform customer surveys to collect a wealth of customer feedback, generating meaningful insights from these assessments may become time-consuming and costly. Now, data visualizations streamline the process of evaluating feedback from customer surveys.
Also, data visualizations complement text analytics services. Data visualizations allow managers to take the customer feedback that they retrieve via text analytics and generate in-depth reports that may include dozens or hundreds of data visualizations via Self-Service Text Analysis.

How Does Self-Service Text Analysis Provide Data Visualizations?

Self-Service Text Analysis is a data analysis service that delivers data visualizations quickly and effortlessly. It works in combination with text analytics, ensuring business managers won't have to allocate substantial time and resources to generate extensive customer data reports. 

Typically, text analytics allows managers to retrieve customer feedback from across the web but fails to provide managers with the ability to generate meaningful insights from this information instantly. To produce comprehensive customer insights, managers may be forced to mine customer data sets on their own, which could become a time- and resource-intensive process. Or, managers may hire data scientists to mine customer data sets – something that could become extremely expensive.  

Self-Service Text Analysis minimizes the need for data mining or data scientists. It simplifies the process of generating interactive PDF (iPDF) reports based on customer data, ensuring managers can access a broad array of data visualizations to understand customer behaviors and trends. 

An interactive PDF (iPDF) report will include many pages of data visualizations – all of which are based on customer feedback. The report empowers managers with meaningful insights into consumer sentiment, customer loyalty, customer satisfaction and other customer metrics. That way, managers can better understand all of the customer feedback that is available and find the best ways to help a company improve its products, services and customer interactions. 

In addition, Self-Service Text Analysis makes it easy for managers to generate an interactive PDF (iPDF) report in only minutes. To product an interactive PDF (iPDF) report, a manager only needs to upload an Excel spreadsheet that contains user-generated content. Next, a manager will receive an interactive PDF (iPDF) report via email only minutes later. The report also is available digitally and is shareable, ensuring managers in multiple departments can explore customer behaviors and trends and use this information to deliver meaningful business enhancements. 

Data visualizations are readily available thanks to text analytics and Self-Service Text Analysis, two technologies that may prove to be difference-makers for managers worldwide. With text analytics and Self-Service Text Analysis at their disposal, managers can assess data visualizations and maximize the value of customer data consistently. 

Summary

Business managers may be able to obtain large amounts of customer data with text analytics services, but transforming this information into actionable insights can be difficult. Today, managers can deploy Self-Service Text Analysis to produce interactive PDF (iPDF) reports that highlight customer behaviors and trends via data visualizations. Self-Service Text Analysis works in combination with text analytics and helps take the guesswork out of data analysis. Therefore, managers can use text analytics and Self-Service Text Analysis to product comprehensive customer reports that contain intuitive, easy-to-understand data visualizations.
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