Considering unstructured data for OLAP: a feasibility study using a systematic review

Abstract

Among the technologies involved on Business Intelligence, Data Warehouse and OLAP have been widely used to identify, collect, process, integrate and analyze information for decision making, thus promoting business management. Data stored in a data warehouse used by conventional OLAP systems is structured in nature. However, data such as text documents, images and videos, characterized as semi or unstructured data, may also contain information of great value to business. In this context, we applied the systematic review methodology with the purpose of identifying, extracting and summarizing the main research results focused on the integration of unstructured data in data warehouse environments. We identified forty two studies which studies were classified in order to identify ongoing research subjects and potential gaps as future trends.

Keywords

• Data warehouse
• multidimensional modeling
• OLAP
• systematic review
• unstructured data