For business managers who are incorporating customer data analysis into a business strategy, text analytics is a must-have. Text analytics helps managers collect a broad assortment of customer data. In fact, managers can use text analytics to obtain customer data from blog posts, web polls and surveys and other online sources faster than ever before. On the other hand, text analytics merely represents one step in a comprehensive data analysis process. If managers hope to realize the true power of text analytics, they likely will need an effective solution that simplifies the process of transforming customer data into meaningful insights. A Closer Look at Text Analytics With text analytics, business managers can retrieve both structured and unstructured customer data any time they choose. Managers then can organize this information into customer data sets that can be analyzed and transformed into actionable customer insights. Although text analytics delivers some value for managers, it also requires managers to perform data mining to maximize its potential. Data mining usually is a costly and time-intensive process. It requires managers to look closely at all of the customer data at their disposal and search for patterns and trends that are hidden within it. If managers are successful, they can transfer their findings to detailed reports that can be shared across a business. Conversely, if managers fail, they risk wasting precious time and resources. Maximize the Value of Text Analytics with Self-Service Text Analytics Self-Service Text Analytics is a data analysis service that helps business managers optimize the value of text analytics, and for good reason. Unlike a traditional data analysis service, Self-Service Text Analytics requires no data mining. Instead, managers can use the service to look closely at all of the customer data available to them and visualize it in just minutes. Self-Service Text Analytics ultimately proves to be a time- and cost-saver for managers relative to data analysis. It streamlines the process of transforming customer data into meaningful insights, ensuring managers can understand assorted customer behaviors and trends and use these insights to make more informed decisions. If managers want to find out why customers may choose one brand over another, they can use Self-Service Text Analytics to gain the insights they need. Or, if managers are struggling to identify how one company's products and services are different from another's, Self-Service Text Analytics can deliver competitive insights across an industry as well. Furthermore, Self-Service Text Analytics is free and easy to use, making the service a viable option for managers at companies of all sizes. Self-Service Text Analytics requires a manager to upload an Excel spreadsheet that contains user-generated content ñ and that's all. After the upload is finished, a manager will receive an interactive PDF (iPDF) reports within about 15 minutes. This report illustrates customer behaviors and trends, enabling a manager to use charts, graphs and other visualizations to assess customer insights. Each interactive PDF (iPDF) report delivers extensive customer insights too. Managers can use interactive PDF (iPDF) reports to learn about consumer sentiment, customer loyalty and various customer behaviors and trends. As a result, managers can obtain deep insights into a customer base that they otherwise may struggle to obtain elsewhere. Clearly, when it comes to text analytics, managers may need extra help. Text analytics ensures managers can collect customer data, but in most instances, data analysis still remains an uphill climb. With Self-Service Text Analytics, managers can capitalize on the full power of text analytics. Together, Self-Service Text Analytics and text analytics empower managers with meaningful insights, guaranteeing that managers can get the most out of customer data at any time. Summary Text analytics provides a superb data collection service, one that is becoming exceedingly popular to business managers at companies around the globe. At the same time, text analytics alone often fails to provide managers with their desired data analysis results. Thanks to Self-Service Text Analytics, managers can simplify the process of transforming customer data into actionable insights. Self-Service Text Analytics works in combination with text analytics and ensures managers can visualize customer data like never before. That way, managers can use Self-Service Text Analytics to maximize the value of text analytics quickly and effortlessly.