Abstract

Organizations are attempting to harness the power of big data analytics. Enterprise architecture can be used as an instrument to integrate big data analytics into the existing IT landscape and enabling the development of capabilities to create value from these technologies. Yet, there is limited research about the role of enterprise architecture in adopting big data analytics. This paper explores enterprise architecture roles and capabilities for the adoption of big data analytics by conducting a qualitative case study at the Dutch Tax and Customs Administration. The first attempt to adopt big data analytics was focused on integrating analytics into the current complex IT landscape, but this encountered many challenges and resulted in slow progress. To overcome these challenges, a separate department was created to quickly harness the potential of big data analytics. Enterprise architecture was used for impact analysis and to create a transition process. The findings suggest that enterprise architecture was used in different ways at the various stages of adoption and implementation, requiring different roles and a different set of capabilities. Enterprise architecture was found to be contingent on the type of technology and the situation at hand. We recommend more research into the role of the context in enterprise architecture research.

Highlights

  • Big data technology entails collecting and processing large volumes of data from a variety of sources [17]

  • This research was motivated by the fact that the current literature offers few explicit insights about Enterprise Architecture (EA) for supporting Big Data Analytics (BDA) adoption and implementation

  • The role of EA in BDA adoption and implementation in large organizations was investigated by studying the EA efforts over a prolonged period of time

Read more

Summary

Introduction

Big data technology entails collecting and processing large volumes of data from a variety of sources [17]. Modern organizations are data intensive by nature, and the use of Big Data Analytics (BDA) can provide new insights. EA should help to overcome BDA adoption challenges and understanding these challenges requires to understand the roles and capabilities of EA. Organizations use well-structured data that is collected for a certain purpose and stored, often in relational databases. The number of databases, the variety of formats and the amount of data has grown into what is called BDA [14]. The use of BDA enables organizations to go beyond mere utilization of each database and data set in isolation. Data sets are combined or integrated to achieve new insights

Objectives
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call