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Business managers frequently struggle with traditional text analytics services, and perhaps it is easy to understand why. 

Typically, text analytics offers a great service because it helps managers collect customer data over an extended period of time. It enables managers to retrieve customer feedback contained within blog posts, web polls and surveys and other online sources. In addition, text analytics ensures managers can analyze this information any time they choose. 

But it is important to note that text analytics is not a data analysis service. Although managers eventually can analyze customer data that they collect via text analytics, the service itself will not analyze the data for them. Therefore, managers who want to transform customer data into meaningful insights likely will need to mine customer data sets on their own. 

The Data Mining Dilemma

Data mining is valuable because it enables business managers to generate customer insights that they can use to make more informed decisions than ever before. On the other hand, data mining usually requires significant time and resources to complete. 

With data mining, a manager will need to examine customer data from multiple online sources at the same time. Then, this manager will search for patterns and trends hidden within the data itself. And if a manager is successful, he or she can gain customer insights. 

Few managers possess the time and resources needed to perform data mining effectively. This sometimes leads managers to mine only a portion of the customer data at their disposal, forcing them to miss out on customer insights that otherwise could be used to drive business improvements. 

In addition, many managers lack data analysis expertise and may make mistakes as they mine customer data. And if even a single mistake occurs, a manager risks wasting time and resources.

Data Visualization: What You Need to Know

Business managers want data analysis solutions that are simple to use and deliver instant results. Meanwhile, text analytics often provides managers with data collection capabilities, and most managers lack the time, resources and expertise needed to fully analyze customer data sets.

Now, data visualization can help managers gain unparalleled customer insights. The technology empowers managers to use charts, graphs and other illustrations to highlight customer behaviors and trends in a reader-friendly format. 

Data visualization ensures managers won't have to struggle to produce PowerPoint presentations or other reports after they analyze customer data. Conversely, data visualization ensures managers can leverage interactive PDF (iPDF) reports to examine customer insights like never before. 

Self-Service Text Analytics allows managers to create interactive PDF (iPDF) reports in conjunction with text analytics. The data analysis service brings visualization capabilities to companies of all sizes and across all industries, making it exceedingly valuable to managers around the globe.

With Self-Service Text Analytics, 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 just minutes later. This report may contain hundreds of visualizations based on customer data provided by the manager. That way, the report includes actionable customer insights that managers can use to improve a company's products, services and customer interactions. 

Perhaps best of all, Self-Service Text Analytics simplifies data analysis by eliminating the need for data mining. The service enables managers to create interactive PDF (iPDF) reports any time they choose without having to deal data mining complexities. 

Self-Service Text Analytics and text analytics empower managers with data visualization capabilities that they may struggle to obtain elsewhere. As a result, these technologies may help managers take their data analysis efforts to new heights. 

Summary

Data visualization enables business managers to analyze customer insights via charts, graphs and other illustrations. The technology is available via Self-Service Text Analytics and may prove to be the ideal complement to text analytics. With data visualization, managers won't have to allocate time and resources to mine customer data. Comparatively, Self-Service Text Analytics searches for patterns and trends within customer data and produces meaningful insights contained within interactive PDF (iPDF) reports. The data analysis service even creates interactive PDF (iPDF) reports that are easy to navigate and available on desktop computers, smartphones, laptops and tablets. Thus, Self-Service Text Analytics provides managers with superior data visualization capabilities, ensuring managers can get the most out of customer data consistently.