The concept of unstructured data has been around for decades, yet its importance has only recently been recognized. Unstructured data is a form of data that lacks a predetermined structure. It is not organized into a pre-defined model or schema and is typically characterized by its high volume, velocity and variety. In today’s digital world, unstructured data has become increasingly prevalent, making it one of the most valuable resources companies and organizations can possess.
Unstructured data can be found in a variety of sources, including emails, audio files, images, and videos. It is not only used by organizations to gain insights into their customers, but it is also used by governments to analyze public opinion. Unstructured data can be used to gain a better understanding of customer behavior, market trends, and the overall sentiment of a particular topic or industry.
Organizations are increasingly turning to unstructured data to gain insights and make better decisions. Traditional data analysis methods are often inadequate when it comes to managing and processing unstructured data. As a result, organizations are turning to advanced analytics techniques such as natural language processing (NLP) and machine learning (ML) to gain insights from unstructured data. NLP and ML algorithms can be used to extract insights from large volumes of unstructured data quickly and accurately, allowing organizations to make more informed decisions.
In addition to providing insights into customer behavior and market trends, unstructured data can also be used to improve the accuracy of predictive analytics. Organizations are increasingly leveraging unstructured data to improve the accuracy of their predictive models. By combining unstructured data with traditional structured data, organizations can more accurately predict future customer behavior and market trends.
Unstructured data has become increasingly valuable to organizations and has the potential to revolutionize the way companies do business. As organizations continue to leverage unstructured data, it is important to develop a strategy to ensure the data is used in an ethical and responsible manner.
References
Bond, C., & Pohl, C. (2020). Unstructured data: What it is, why you should care and how to use it. Retrieved from https://blog.zoomdata.com/unstructured-data-what-it-is-why-you-should-care-and-how-to-use-it/
Gill, K. (2020). What is unstructured data and why does it matter? Retrieved from https://www.sas.com/en_us/insights/analytics/what-is-unstructured-data.html
Kawamoto, H., & Kawamoto, S. (2019). Unstructured data analysis using natural language processing and machine learning. International Journal of Network Security & Its Applications, 11(3), 1-9.
Khan, A. A., & Sadiq, M. (2019). Unstructured data analytics. International Journal of Advanced Computer Science and Applications, 10(9), 432-438.