Business Intelligence: Alternative Decision-Making Solutions on SMEs in Indonesia
Lecture Notes on Data Engineering and Communications Technologies
; 161:500-507, 2023.
Article
in English
| Scopus | ID: covidwho-2295087
ABSTRACT
In this modern and digital era, digital transformation is echoed as one of the organization's efforts to survive through Business Intelligence (BI). BI has become a buzzword even among business actors or organizations, not least for Small and Medium Enterprises (SMEs). SMEs are one of the sectors affected by the COVID-19 pandemic, namely the number of SME players who have lost their income and are finally forced to go out of business. BI is a combination of techniques and methods in terms of fulfilling access to information and a concise data management mechanism to be able to have a positive influence on SME business activities. It is because the strength of BI significantly impacts strategic decision-making using processing tools from Microsoft, namely SQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS). This study aims to see the extent of BI as an alternative solution in decision-making by all SMEs in Indonesia. This research contributes to SMEs through the implementation of BI;SMEs get explicit knowledge about the factors that affect the performance of SMEs to help SMEs in making decisions. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Business intelligence; SMEs Indonesia; SQL server integration services; SQL server reporting services; Information analysis; Information management; Windows operating system; Business-intelligence; Indonesia; Integration services; Reporting service; Small and medium enterprise indonesia; Small-and-medium enterprise; SQL server integration service; SQL server reporting service; SQL servers; Decision making
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Lecture Notes on Data Engineering and Communications Technologies
Year:
2023
Document Type:
Article
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