5 Effective Ways to Deal with Unstructured Data in Organizations

Unstructured data, such as email, text documents, images, and videos, has become a challenge for many organizations. This type of data does not have a clear format, making it difficult to manage, analyze and use in decision making. However, with the right steps, unstructured data can be transformed into valuable assets that provide deep insights. Here are five ways effective to manage and address unstructured data in organizations.

1. Identify and Classify Unstructured Data

The first step is to identify the types of unstructured data that exist within your organization. Is the data in the form of email, document, image, or video? By understanding the type of data you have, you can more easily classify the data according to relevant categories. This classification helps make searching and accessing data easier and makes the analysis process more efficient.

2. Use Natural Language Processing (NLP) Technology

Natural language processing technology or NLP (Natural Language Processing) can help organizations extract information from text data, such as emails and documents. NLP allows you to discover patterns, categories, and meaning from unstructured text data. With the help of NLP, previously unstructured data can be understood and used to more accurately analyze customer trends, sentiment and preferences.

3. Implement a Content Management System (CMS)

Content Management System (CMS) is a very effective tool for managing unstructured data in the form of documents, images and videos. A CMS lets you store, organize, and access unstructured data in a single platform. With a CMS, data is not only stored securely but can also be easily accessed by various teams within the organization. CMS is also possible tracking changes and updates to data, making it easier to collaborate between departments.

4. Use OCR Technology for Image Data

For data in the form of images, such as scanned documents or photos, OCR (Optical Character Recognition) technology is the ideal solution. OCR can convert text in images into text data that can be searched and processed further. With OCR, organizations can extract important information from visual data and turn it into structured data that is easy to analyze.

5. Integrate ETL Solutions to Process Unstructured Data

ETL (Extract, Transform, Load) is a useful process in converting unstructured data into structured data. In this context, ETL allows organizations to extract information from unstructured data, perform transformations such as categorization and normalization, and enter data into analytical systems or data warehouses. The ETL process makes unstructured data easier to analyze and ready to use for various business needs.

Thrive has planned Keloola Xchange as an integrated solution to help organizations manage unstructured data. With Keloola Xchange, companies can process and convert unstructured data into information that can be used for analysis and decision making. If you want to optimize the management of unstructured data in organization You, contact us immediately to find out how Keloola Xchange can help your business.