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Text analytics represents a must-have data analysis solution for today's business managers. In fact, it may prove to be a substantial time saver, particularly for managers rely on "outdated" data analysis technologies.

For example, some data analysis technologies require managers to collect both structured and unstructured customer data on their own. This means managers may need to dedicate significant time and resources to find customer feedback that is hidden within blog posts, web polls and surveys and other online sources.

On the other hand, text analytics helps managers quickly collect customer data from across the web. It enables managers to retrieve structured and unstructured customer feedback at any time and organize this information into large customer data sets. Then, managers can perform extensive data analysis to understand customer behaviors and trends and tailor their business efforts accordingly. 

Of course, data analysis technologies are evolving, particularly when it comes to text analytics. And with Self-Service Text Analytics, managers can take their data analysis efforts to the next level. 

How Does Self-Service Text Analytics Complement Text Analytics?

Business managers can leverage the combination of text analytics and Self-Service Text Analytics to fully understand a customer base. In fact, text analytics and Self-Service Text Analytics empower managers to get the most out of the customer feedback at their disposal. 

In the past, managers would use text analytics to collect customer data from multiple online sources. But text analytics usually required managers to look closely at all of the customer data that was available to gain actionable insights from it. Thus, the time and costs associated with data mining could be exorbitant, limiting the return on investment (ROI) of text analytics. 

Self-Service Text Analytics works in conjunction with text analytics to help managers transform customer data into meaningful insights. It enables managers to visualize large collections of customer data in a matter of minutes. 

To leverage Self-Service Text Analytics, a manager only needs to upload an Excel spreadsheet that contains user-generated content. The spreadsheet itself may include all customer feedback that a manager collects via text analytics, and ultimately, will serve as the basis for visualizations. 

Next, a manager will receive an interactive PDF (iPDF) report via email within about 15 minutes of the spreadsheet upload. This report may contain dozens of visualizations ñ all of which are based on the content provided by the manager. 

Each interactive PDF (iPDF) report illustrates customer data via charts, graphs and other illustrations. Plus, the report's visualizations are fully interactive, which means managers can click on visualizations to better understand all of the customer insights that are available. 

Interactive PDF (iPDF) reports present customer insights in a reader-friendly format as well. They make it easy for managers to understand consumer sentiment, customer loyalty and assorted customer behaviors and trends. Thus, managers should have no trouble analyzing customer insights and making more informed business decisions than ever before. 

For managers who use text analytics, extra help may be needed to optimize the value of the service. 

In many instances, text analytics helps managers collect customer data but fail to realize its full value. But managers now can leverage Self-Service Text Analytics in combination with text analytics to assess customer data and gain unparalleled customer insights. 

Going forward, Self-Service Text Analytics and text analytics can help managers learn about a customer base. The technologies enable managers to find out why customers may choose one brand over another, how customers feel about a business its products and its services and much more. Therefore, managers can use Self-Service Text Analytics and text analytics in conjunction with one another to accelerate their data analysis efforts. 

Summary

Data analysis often serves as a time- and cost-intensive cycle. Usually, business managers use text analytics to retrieve customer data from multiple online sources. But these managers may need to mine massive assortments of structured and unstructured customer data to obtain deep insights into customer behaviors and trends. Today, managers can leverage Self-Service Text Analytics, a free data analysis service that complements text analytics. With Self-Service Text Analytics and text analytics, managers can visualize customer data sets quickly and uncover innovative ways to help a company build long-lasting customer partnerships.