Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

Understanding Data Understanding : A Framework to Navigate the Intricacies of Data Analytics

Title data

Holstein, Joshua ; Spitzer, Philipp ; Hoell, Marieke ; Vössing, Michael ; Kühl, Niklas:
Understanding Data Understanding : A Framework to Navigate the Intricacies of Data Analytics.
2024
Event: 32nd European Conference on Information Systems (ECIS) , 13-19 June 2024 , Paphos, Cyprus.
(Conference item: Conference , Paper )

Abstract in another language

As organizations face the challenges of processing exponentially growing data volumes, their reliance on analytics to unlock value from this data has intensified. However, the intricacies of big data, such as its extensive feature sets, pose significant challenges. A crucial step in leveraging this data for insightful analysis is an in-depth understanding of both the data and its domain. Yet, existing literature presents a fragmented picture of what comprises an effective understanding of data and domain, varying significantly in-depth and focus. To address this research gap, we conduct a systematic literature review, aiming to delineate the dimensions of data understanding. We identify five dimensions: Foundations, Collection \& Selection, Contextualization \& Integration, Exploration \& Discovery, and Insights. These dimensions collectively form a comprehensive framework for data understanding, providing guidance for organizations seeking meaningful insights from complex datasets. This study synthesizes the current state of knowledge and lays the groundwork for further exploration.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: Data Understanding; Data Analytics; Data-Centric Artificial Intelligence
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems Management > Chair Information Systems Management - Univ.-Prof. Dr.-Ing. Niklas Kühl
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 27 Mar 2024 06:49
Last Modified: 27 Mar 2024 06:49
URI: https://eref.uni-bayreuth.de/id/eprint/89078