Business Intelligence and Business Continuity: Empirical Analysis of Croatian Companies

  • Danijela Lucić Faculty of Humanities and Social Sciences, University of Zagreb
Keywords: business intelligence, business intelligence management system, business continuity, early warning system, empirical analysis, competitive advantage


Business Intelligence (BI) is an important strategic resource for business decision making. It is a cyclical system comprised of several seperate phases; planning and direction, data collection, processing and data analysis, and dissemination or distribution of information to the business decision makers. The passing and maturation of the third and fourth scientific revolutions, in which the rate of data flow has surpassed that of goods and services, has made timely, accurate and relevant information the key resource for business continuity. In Croatia, two comprehensive surveys on the BI application within the largest companies have been conducted. The first survey, from October 2010 to April 2011, indicated a low level of application and understanding of the BI system and its benefits. The cross-sectional follow-up survey from March to July 2017 showed that although significant changes did not occur, there are indicators of potentially adverse effects on the health and security of Croatian business entities and overall Croatian economic security. The paper presents the conclusions of the 2017 survey which comprised a sample size of the 1000 highest grossing companies operating in Croatia, along with a short comparison to the initial survey from 2010/2011. Considering that the BI system encompasses the internal, but primarily external environment of a business entity with respect to four key intelligence topics (decisions, key players, early warnings associated with possible threats or opportunities and business counterintelligence), the paper argues that a lack of knowledge on BI and low level of application of BI activities can significantly affect business continuity. In other words, non-application of business intelligence activities can lead to income loss, loss of competitive advantage, loss of data and productivity, cost increase, violation of law and regulations and even to the temporary or complete business downfall.


Bauer, H., Patel, M. & Veira, J. (2015). Internet of Things: Opportunities and challenges for semiconductor companies. New York: McKinsey&Company.

BCI (Business Continuity Institute) (2017). „Glossary of Business Continuity Terms“. Disaster Recovery Journal. Retreived from: (23/3/2019)

Bernhardt, D. (2003) Competitve Intelligence: How to Acquire and Use Corporate Intelligence and Counter-Intelligence. London: Prentice Hall Financial Times.

Bilandžić, M. (2008). Poslovno-obavještajno djelovanje: business intelligence u praksi. Zagreb: AGM.

Bilandžić, M. et al. (2012). „Business Intelligence u hrvatskom gospodarstvu“. Poslovna izvrsnost, 6 (1): 9-27. Retrieved from: (23/3/2019)

Bilandžić, M. & Lucić, D. (2014). „Predicting business opportunities and/or threats – business intelligence in the service of corporate security (empirical analysis of the usage in the economy of Republic of Croatia“. Collegium antropologicum, 38: 25-33. Retrieved from: (23/3/2019)

Bilandžić, M. & Lucić, D. (2018) „Business intelligence u hrvatskom gospodarstvu – rezultati istraživanja 2017.“ Poslovna izvrsnost, 12 (1): 9-30. Retrieved from DOI: 10.22598/pi-be/2018.12.1.9 (23/3/2019)

Castells, M. (2000). Informacijsko doba: Ekonomija, društvo i kultura. Uspon umreženog društva. Zagreb: Golden Marketing.

Dedijer, S. (2000). Stevan Dedijer - The World Jumper. Čakovec: Zrinski d.d.

GIA (Global Intelligence Alliance) (2006). „Does Your Business Radar Work? Early Warning/Opportunity System for Intelligence“. GIA White Paper, 1/2006. Retrieved from: (23/3/2019)

Fleisher, C. & Bensoussan, E. B. (2015). Business and Competitive Analysis: Effective Application of New and Classic Methods (2nd Edition). New Jersey: Pearson Education.

Herring, J. P. (2001) „Key intelligence topics: A process to identify and define intelligence needs“. Competitive Intelligence Review, 10 (2): 4-14. Retrieved from DOI:<4::AID-CIR3>3.0.CO;2-C (24/3/2019)

Hinson, G. (2012). „Technical Briefing: Business Continuity Management“. EDPACS The EDP Audit, Control, and Security Newsletter, 45(3): 14-25. Retrieved from DOI: (23/3/2019)

ISO 22301 (International Organization for Standardization) (2012). „ISO 22301:2012 Societal security -- Business continuity management systems -- Requirements“. Retrieved from: (23/3/2019)

ISO 22313 (International Organization for Standardization) (2012). „ISO 22313:2012 Societal security -- Business continuity management systems – Guidance“. Retrieved from: (23/3/2019)

Juhari, A. S. and Stephens, D. (2006). „Tracing the Origins of Competitive Intelligence Throughout History“. Journal of Competitive Intelligence and Management, 4 (3): 61-82.

Khan, N. et al. (2014) „Big Data: Survey, Technologies, Opportunities, and Challenges“. Scientific World Journal, vol. 2014. Retrieved from DOI:10.1155/2014/712826 (22/3/2019)

Krell, E. (2006). Management Accounting Guideline. Business Continuity Management. The Society of Management Accountants of Canada and The American Institute of Certified Public Accountants.

Lingeswara Tammineedi, R. (2010). „Business Continuity Management: A Standards-Based Approach“. Information Security Journal: A Global Perspective, 19 (1): 36-50. Retrieved from DOI: (22/3/2019)

Luetić, A. (2013). Poslovna inteligencija i upravljanje opskrbnim lancem (doktorska disertacija). Sveučilište u Splitu, Split, Ekonomski fakultet.

McKinsey Global Institute (2016). Digital Globalization: The New Era of Global Flows. New York: McKinsey&Company.

NCERT (Nationaln CERT) & LSS (Laboratory for Systems and Signals, Department of Electronic Systems and Information Processing Faculty of electrical engineering and computing University of Zagreb) (2010). Upravljanje kontinuitetom poslovnih procesa, NCERT-PUBDOC-2010-07-307. Zagreb: CARNET. Retrieved from: (23/3/2019)

Rouse, M. (2019). „Internet of Things (IoT)“. Retrieved from: (23/3/2019)

Schwab, K. (2017). Fourth Industrial Revolution. New York: Crow Business.

Steen, van der M. et al. (2013). Early signals, Timely strategy The Early Warning system at

the Dutch Rijkswaterstaat. The Hague: Netherlands School of Public Administration.

Veža, I. (2018) Inovativno pametno poduzeće. Okrugli stol Hrvatske gospodarske komore „Kibernetsko fizikalni sustavi i internet stvari“, 11. travnja 2018. Retrieved from: (21/3/2019)

How to Cite
Lucić, D. (2019). Business Intelligence and Business Continuity: Empirical Analysis of Croatian Companies. Annals of Disaster Risk Sciences, 2(1-2), 1-10. Retrieved from