Abstract
the size, companies have adopted an approach to electronic data collection and
management for two decades. The advancement in technology means they have in
their possessions large volumes of historical data. Large organizations have cached
on this and use a range of tools and techniques to leverage the usefulness of this
information to make more informed business decisions. For most small and medium-
sized enterprises (SMEs), however, such data typically sits in an archive without being
utilized. While SMEs appreciate the need for utilizing historical data to make more
informed business decisions, they often lack the technical knowhow and funding to
embrace an effective BI solution. In this paper, drawing from our experience in
implementing a BI solution for a UK SME we discuss some potential tools and
strategies that could help SMEs overcome these challenges so as to reap the benefits
of adopting an effective BI solution.
Original language | English |
---|---|
Title of host publication | IC3K 2016: Knowledge Discovery, Knowledge Engineering and Knowledge Management |
Editors | A. Fred, J. Dietz, D. Aveiro, K. Liu, J. Bernadino, J. Filipe |
Publisher | Springer |
Pages | 306-325 |
Number of pages | 24 |
Volume | 914 |
ISBN (Electronic) | 978-3-319-99701-8 |
ISBN (Print) | 978-3-319-99700-1 |
DOIs | |
Publication status | E-pub ahead of print - 14 Nov 2018 |
Event | 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2016 - Porto, Portugal Duration: 9 Nov 2016 → 11 Nov 2016 |
Publication series
Name | Communications in Computer and Information Science |
---|---|
Publisher | Springer |
Volume | 914 |
ISSN (Print) | 1865 0929 |
Conference
Conference | 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2016 |
---|---|
Country | Portugal |
City | Porto |
Period | 9/11/16 → 11/11/16 |
Fingerprint
Bibliographical note
© Springer Nature B.V. 20XX. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-99701-8_15Keywords
- business Intelligence
- data warehouse
- Microsoft BI
- SME
Cite this
}
Empowering SMEs to make better decisions with Business Intelligence: A Case Study. / Raj, Raghavendra; Wong, Shun H; Beaumont, Anthony J.
IC3K 2016: Knowledge Discovery, Knowledge Engineering and Knowledge Management . ed. / A. Fred; J. Dietz; D. Aveiro; K. Liu; J. Bernadino; J. Filipe. Vol. 914 Springer, 2018. p. 306-325 (Communications in Computer and Information Science; Vol. 914).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Empowering SMEs to make better decisions with Business Intelligence: A Case Study
AU - Raj, Raghavendra
AU - Wong, Shun H
AU - Beaumont, Anthony J
N1 - © Springer Nature B.V. 20XX. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-99701-8_15
PY - 2018/11/14
Y1 - 2018/11/14
N2 - With the advance of Business Information Systems (BIS), irrespective ofthe size, companies have adopted an approach to electronic data collection andmanagement for two decades. The advancement in technology means they have intheir possessions large volumes of historical data. Large organizations have cachedon this and use a range of tools and techniques to leverage the usefulness of thisinformation to make more informed business decisions. For most small and medium-sized enterprises (SMEs), however, such data typically sits in an archive without beingutilized. While SMEs appreciate the need for utilizing historical data to make moreinformed business decisions, they often lack the technical knowhow and funding toembrace an effective BI solution. In this paper, drawing from our experience inimplementing a BI solution for a UK SME we discuss some potential tools andstrategies that could help SMEs overcome these challenges so as to reap the benefitsof adopting an effective BI solution.
AB - With the advance of Business Information Systems (BIS), irrespective ofthe size, companies have adopted an approach to electronic data collection andmanagement for two decades. The advancement in technology means they have intheir possessions large volumes of historical data. Large organizations have cachedon this and use a range of tools and techniques to leverage the usefulness of thisinformation to make more informed business decisions. For most small and medium-sized enterprises (SMEs), however, such data typically sits in an archive without beingutilized. While SMEs appreciate the need for utilizing historical data to make moreinformed business decisions, they often lack the technical knowhow and funding toembrace an effective BI solution. In this paper, drawing from our experience inimplementing a BI solution for a UK SME we discuss some potential tools andstrategies that could help SMEs overcome these challenges so as to reap the benefitsof adopting an effective BI solution.
KW - business Intelligence
KW - data warehouse
KW - Microsoft BI
KW - SME
UR - https://link.springer.com/chapter/10.1007%2F978-3-319-99701-8_15
U2 - 10.1007/978-3-319-99701-8_15
DO - 10.1007/978-3-319-99701-8_15
M3 - Conference contribution
SN - 978-3-319-99700-1
VL - 914
T3 - Communications in Computer and Information Science
SP - 306
EP - 325
BT - IC3K 2016: Knowledge Discovery, Knowledge Engineering and Knowledge Management
A2 - Fred, A.
A2 - Dietz, J.
A2 - Aveiro, D.
A2 - Liu, K.
A2 - Bernadino, J.
A2 - Filipe, J.
PB - Springer
ER -