Abstract
Online analytical processing is a sub-area of business intelligence and an essential component for executing queries against a data warehouse. These queries should help to use the available company data in the best possible way for the benefit of the company. Based on the results of these queries, decision-makers are able to come to the most innovative and effective decisions about the company’s priorities.
In order to perform their tasks, the employees of a company often need information which they receive via queries from the company's data warehouse. Since not every employee has knowledge of a query language, tools must be provided that enable these employees to access the information on their own.
This work describes the prototype of a client for online analytical processing, which allows users without knowledge of a query language to query a data warehouse using incremental manipulation operations according to the analysis graph navigation model. Each modification made by the user to the query is stored as a manipulation operation in an analysis graph. The current instance of the graph can be used by the user to jump to any previous query and continue the data analysis there.
Translated title of the contribution | A Grafical User Interface for Online Analytical Processing based on analysis situations and incremental incremental manipulation operations |
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Original language | German (Austria) |
Supervisors/Reviewers |
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Publication status | Published - Oct 2019 |
Fields of science
- 102 Computer Sciences
- 102010 Database systems
- 102015 Information systems
- 102016 IT security
- 102025 Distributed systems
- 102027 Web engineering
- 102028 Knowledge engineering
- 102030 Semantic technologies
- 102033 Data mining
- 102035 Data science
- 502050 Business informatics
- 503008 E-learning
JKU Focus areas
- Digital Transformation