Post by account_disabled on Feb 22, 2024 5:36:02 GMT -5
Unstructured information is data that is not in a database or is contained in some other type of data structure. Unstructured data can be textual or non-textual . The first are those generated in email messages , PowerPoint presentations, Word documents, collaboration software and instant messages . Unstructured non-textual information comes from media such as JPEG images , MP3 audio files, and Flash video files . It is obvious that the growth of unstructured data far exceeds the growth of structured data, which is why it poses a challenge in terms of storage to organizations, a challenge that must be faced since both types of data are essential for social media analytics. unstructured information Photo credits.
What data teaches us: unstructured information and structured data In a customer service scenario, structured data would provide knowledge on aspects such as: Number of customer queries. Category where the subject of the complaint or claim falls. Speed with which a problem is resolved. Customer service rating through customer or user feedback. All this data is useful, but it lacks depth, it is flat, it lacks Chinese Student Phone Number List content and that void is what unstructured information covers. By studying unstructured data, a company could discover the following: The root of the problem: the organization would be able to find out what is causing the complaint and the element that generates a problem. The way to obtain better feedback: by improving consumer feedback, that is, going beyond a score, the company could understand the user's motivations when rating and how to lead them to a better experience. Subscribe to our Blog and stay up to date with the latest news from the Technology Sector Perception of the speed of problem resolution.
In this way, you can know what type of problems require longer periods for their effective resolution. You also access the information necessary to know whether customer service representatives have adequate training to handle common problems or if there is a logical system to put the customer in contact with the most appropriate person to resolve their problem as quickly as possible. . Unstructured information enhances the ability of businesses to gain greater insight from data sets. However, although they have been outnumbered by unstructured data, structured data has always been and will continue to be an important and necessary piece of data analysis, even today, in the era of social media analytics. This type of information functions as a backbone of critical business insights and allows, in collaboration with unstructured data, to take full advantage of advanced analytics to improve customer relationships, save costs, make the best decisions, minimize risks and move towards a promising future hand in hand with technology. Related posts: Data maning: the keys to data mining processes Big Data, a priority in the design of new training proposals Text mining: a question of vision.
What data teaches us: unstructured information and structured data In a customer service scenario, structured data would provide knowledge on aspects such as: Number of customer queries. Category where the subject of the complaint or claim falls. Speed with which a problem is resolved. Customer service rating through customer or user feedback. All this data is useful, but it lacks depth, it is flat, it lacks Chinese Student Phone Number List content and that void is what unstructured information covers. By studying unstructured data, a company could discover the following: The root of the problem: the organization would be able to find out what is causing the complaint and the element that generates a problem. The way to obtain better feedback: by improving consumer feedback, that is, going beyond a score, the company could understand the user's motivations when rating and how to lead them to a better experience. Subscribe to our Blog and stay up to date with the latest news from the Technology Sector Perception of the speed of problem resolution.
In this way, you can know what type of problems require longer periods for their effective resolution. You also access the information necessary to know whether customer service representatives have adequate training to handle common problems or if there is a logical system to put the customer in contact with the most appropriate person to resolve their problem as quickly as possible. . Unstructured information enhances the ability of businesses to gain greater insight from data sets. However, although they have been outnumbered by unstructured data, structured data has always been and will continue to be an important and necessary piece of data analysis, even today, in the era of social media analytics. This type of information functions as a backbone of critical business insights and allows, in collaboration with unstructured data, to take full advantage of advanced analytics to improve customer relationships, save costs, make the best decisions, minimize risks and move towards a promising future hand in hand with technology. Related posts: Data maning: the keys to data mining processes Big Data, a priority in the design of new training proposals Text mining: a question of vision.