Analytics is all about collecting meaningful, and insightful information from various sources of data. There is a lot beyond simple web Analytics which solely focuses itself on the number of views, visitors, and clicks. Whereas content analytics addresses many more parameters which makes it deserve a place in the heart of a business.

Authoring, publishing, and making sure that the content is useful to our target audience in an intended way that indirectly serves our purpose isn’t the only thing ahead of us. Content-related trends and patterns, actionable insights, crucial performance indicators, benchmarks, etc., which are available via content analytics are crucial in driving an organization’s growth.

Analytics is all about collecting meaningful, and insightful information from various sources of data. There is a lot beyond simple web Analytics which solely focuses itself on the number of views, visitors, and clicks. Whereas the analytics addresses many more parameters which makes it deserve a place in the heart of a business.

Authoring, publishing, and making sure that the content is useful to our target audience in an intended way that indirectly serves our purpose isn’t the only thing ahead of us. Content-related trends and patterns, actionable insights, crucial performance indicators, benchmarks, etc., which are available via the analytics are crucial in driving an organization’s growth. Content Analytics also gives a deeper insight of parameters which helps in achieving our temporary goals which are in line with the actionable plans.

Personalization, segmentation, and dynamic delivery of content that is relevant to specific people at specific times on specific devices is a modern day game changer in any business. The work you need to do to analyze and process your content. Intelligent analytics tools are the best way to solve the problem. Embedding intelligent analytics tools into arsenal helps you achieve the scalability and dynamism which are the key components of a growth driven business. This is where Business Intelligence and Big Data come into the picture.

Data aggregation, segregation, analysis, reporting, visual mapping in charts, and generating insightful reports are all part of the modern lives of content managers, strategists, and marketers.

Streamlining Metadata management, tagging, classification, and controlled vocabularies are examples of prime importance. If you want to take the analytics to the next level, you should start looking into such topics (and related technologies) as contextual discovery, semantic profiling, analysis, language and regionalism, variation detection, sentiment analysis, predictive analysis, natural language queries, multilingual search, linguistic modeling-the list can go on and on. Content Analytics can help us in providing a magnificent experience to the target audience.

In the end, the goal is not to chase after the seemingly cool features and functions, but to establish your customizable content strategy first (supported, of course, by overall business goals and objectives), and then look into selecting an analytics tool that helps you reach your goals.

 

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