I. Vaisman and E. Zimányi, DW Systems: Design and Implementation, 2014.

R. Sharda, D. Delen, and E. Turban, Business Intelligence: A managerial perspective on analytics, 2013.

J. R. Evans, An exploratory study of performance measurement systems and relationships with performance results, Journal of Operations Management, vol.22, issue.3, pp.219-232, 2004.
DOI : 10.1016/j.jom.2004.01.002

D. Parmenter, Key performance indicators: developing, implementing, and using winning KPIs, 2015.
DOI : 10.1002/9781119019855

T. W. Oestreich, Gartner magic quadrant for BI and analytics platforms, 2016.

V. C. Storey and I. Song, Big data technologies and Management: What conceptual modeling can do, Data & Knowledge Engineering, vol.108, pp.50-68, 2017.
DOI : 10.1016/j.datak.2017.01.001

P. Giorgini, S. Rizzi, and M. Garzetti, GRAnD: A goal-oriented approach to requirement analysis in data warehouses, Decision Support Systems, vol.45, issue.1, pp.4-21, 2008.
DOI : 10.1016/j.dss.2006.12.001

N. Tryfona, F. Busborg, and C. Borch, starER, Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP , DOLAP '99, pp.3-8, 1999.
DOI : 10.1145/319757.319776

J. Horkoff, D. Barone, L. Jiang, E. Yu, D. Amyot et al., Strategic business modeling: representation and reasoning. Software & Systems Modeling, pp.1015-1041, 2014.
DOI : 10.1007/s10270-012-0290-8

A. Pourshahid, D. Amyot, L. Peyton, S. Ghanavati, P. Chen et al., Business process management with??the??user??requirements notation, Electronic Commerce Research, vol.1, issue.3, pp.269-316, 2009.
DOI : 10.4018/jebr.2005070104

S. Nalchigar, E. Yu, and R. Ramani, A Conceptual Modeling Framework for Business Analytics, Proc. of Int. Conf. on Conceptual Modeling, pp.35-49, 2016.
DOI : 10.1145/583890.583893

S. Nalchigar and E. Yu, Conceptual Modeling for Business Analytics: A Framework and Potential Benefits, 2017 IEEE 19th Conference on Business Informatics (CBI), pp.369-378, 2017.
DOI : 10.1109/CBI.2017.63

E. Yu, Modelling strategic relationships for process reengineering, 2011.

M. Nenni, L. Giustiniano, and L. Pirolo, Demand Forecasting in the Fashion Industry: A Review, International Journal of Engineering Business Management, vol.9, issue.1, p.37, 2013.
DOI : 10.1016/S0925-5273(98)00012-7

V. Storey, J. Trujillo, and S. Liddle, Research on conceptual modeling: Themes, topics, and introduction to the special issue, Data & Knowledge Engineering, vol.98, pp.1-7, 2015.
DOI : 10.1016/j.datak.2015.07.002

A. Maté, J. Trujillo, and J. Mylopoulos, Key Performance Indicator Elicitation and Selection Through Conceptual Modelling, Proc. of Int. Conf. on Conceptual Modeling, pp.73-80, 2016.
DOI : 10.1080/15309576.2002.11643661

C. Burnay, I. J. Jureta, I. Linden, and S. Faulkner, A framework for the operationalization of monitoring in business intelligence requirements engineering. Software & Systems Modeling, pp.531-552, 2016.

V. Popova and A. Sharpanskykh, Modeling organizational performance indicators, Information Systems, vol.35, issue.4, pp.505-527, 2010.
DOI : 10.1016/j.is.2009.12.001
URL : http://www.cs.vu.nl/%7Esharp/papers/IMSM2007.pdf

A. Nasiri, R. Wrembel, and E. Zimányi, Model-Based Requirements Engineering for Data Warehouses: From Multidimensional Modelling to KPI Monitoring, Proc. of Int. Workshop on Conceptual Modeling, pp.198-209, 2015.
DOI : 10.1007/978-3-319-25747-1_20

N. Prakash and A. Gosain, Requirements driven data warehouse development, roc. of Int. Conf. on CAiSE, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01484382

K. Peffers, T. Tuunanen, M. Rothenberger, and S. Chatterjee, A Design Science Research Methodology for Information Systems Research, Journal of Management Information Systems, vol.24, issue.3, pp.45-77, 2007.
DOI : 10.2753/MIS0742-1222240302