Text analytics represents a valuable technology because it connects business managers to large amounts of customer data quickly and easily. But like any technology, there certainly is a learning curve for managers who start using text analytics. And if managers make text analytics mistakes along the way, they may fail to capitalize on the true value of text analytics.So what are some of the most common mistakes that managers may encounter with text analytics? Here are three prevalent mistakes that hinder managers as they strive to generate actionable customer insights that they can use to improve the customer experience (CX): 1. Ineffective Data Mining For managers, only a limited amount of time and resources are available for any task, at any time. And when it comes to mining customer data from text analytics, this often creates a major challenge. In many cases, a manager may lack the skills and experience necessary to mine customer data effectively. As such, a manager can either mine the customer data provided via text analytics to the best of his or her ability or be forced to commit extra time and resources to do so correctly. Either way, managers face a big challenge with text analytics due to ineffective data mining. To overcome the difficulties associated with ineffective data mining, managers may be able to rely on Self-Service Text Analysis. This free service ensures managers can upload an Excel spreadsheet that contains user-generated content and retrieve actionable insights quickly and effortlessly. Thus, Self-Service Text Analysis often reduces or eliminates the need for data mining, ensuring managers can retrieve comprehensive customer insights any time they choose. 2. Failure to Understand the Customer Data That Is Available Even if a manager is able to collect massive assortments of customer data via text analytics, there are no guarantees that this manager will be able to understand the customer feedback that is available. Typically, text analytics provides managers with an overwhelming amount of structured and unstructured customer data sets. The technology also collects customer information over the course of a day, week, month or year, which means it may take some time for managers to fully evaluate the information that is available. Managers, fortunately, can rely on Solution as a Service (SolaaS), which enables these professionals to collaborate with experienced data scientists. These scientists serve as data experts, and ultimately, will be able to mine large data sets and provide managers with actionable customer insights without delay. 3. Inability to Generate Actionable Reports Based on Customer Data In the past, managers may have been forced to spend dozens or hundreds of man-hours putting together reports that illustrate customer behaviors and trends. These reports may have included charts, graphs and other visuals; on the other hand, the sheer volume of customer data they included may have made the reports extremely tough to understand. Self-Service Text Analysis, conversely, empowers managers to simplify the process of creating high-quality reports based on customer data provided via text analytics. Managers can generate interactive PDF (iPDF) reports via Self-Service Text Analysis that illustrate customer behaviors and trends in a reader-friendly format. Each interactive PDF (iPDF) report contains charts and graphs that can be accessed with a single click. Plus, interactive PDF (iPDF) reports are easy to share and may enable managers to make the process of improving the customer experience (CX) a company-wide initiative. Clearly, there are many mistakes that a manager can make with text analytics. But with technologies like Self-Service Text Analysis and Solution as a Service (SolaaS), managers are equipped to minimize such issues for an extended period of time. Summary Text analytics offers a superior technology that enables managers to collect customer data from many online sources. At the same time, text analytics can be difficult to incorporate into a business customer experience (CX) efforts, particularly for managers who lack experience with this technology. Fortunately, tools like Self-Service Text Analysis and Solution as a Service (SolaaS) are readily available and can help managers make the most of their text analytics efforts. As a result, managers can rely on these tools to retrieve comprehensive customer insights that they can use to drive ongoing customer experience (CX) improvements.