Content Analytics; Help Companies Manage Information Lifecycle Management Chains

 

Content analytics is the act of applying business intelligence (BI) and business analytics (BA) to s digital/online content. A business creates two kinds of content: unstructured and structured. In unstructured content, a business provides information that has been gathered and typically presented in a series of smaller, easily digestible bites. On the other hand, in structured content, information is more well-defined, usually collected and written in a series of more manageable pieces. Both can be valuable to a business and need to be managed as effectively as possible.

Content analytics, with the integration of both structured and unstructured data, provides an organization with insights on market patterns, trends, and product details. Thus, with the rising trend of real-time data analytics and increasing demand for advanced analytics, the demand for content analytics is also increasing. For example, in October 2020, Google (US) announced the launch of a new version of Google Analytics to provide new ways to monitor and track key data trends and alert marketers and businesses to new opportunities.

Moreover, content analytics provides valuable insights that help the organization understand market trends, customer demand, etc. Content analytics software uses natural language queries, predictive analytics, contextual discovery, and trends analysis to uncover patterns and trends across a company's unstructured content. There are various types of analytics that businesses use to drive their decision making. This, in turn, can help the organization optimize their return from digital marketing.

Content analytics is a powerful technique for digital content analysis because it provides insight into how to better target advertising messages to create more sales. It is a family of technologies that processes digital content and user behavior. Fortunately, there are many companies that provide technical support and guidance to help businesses learn the basics of content analytics. By following these steps, businesses evaluate their current strategies and determine whether or not they need content analytics software.