Business Performance Analytics (BPA) entails the systematic use of data and analytical methods (mathematical, econometric, statistical) for performance measurement and management. Although potentially overcoming some traditional diagnostic issues related to Performance Management Systems (PMS), such as information overload, absence of cause-effect relationships, lack of a holistic view of the organization, research in the field is still in its infancy. A comprehensive model for operationalising analytics for diagnostic and interactive PMS is still lacking. Adopting an action research approach, this paper addresses this gap and develops a five-step framework applied to a company operating in the construction industry. The results show that in addition to encouraging dialogue, BPA can contribute to identifying critical performance variables, potential sources of risk and related interdependencies. A number of critical issues in implementing data-based approaches are also highlighted including data quality, organizational competences and cultural shifts.

Recent reviews of the 'operations management' (OM) research literature have shown a surprising little shift towards empirical methodologies from traditional modelling solution methods. In addition, there is generally a lack of empirical testing and validation of manufacturing strategies. Coupled to this fact is that empirical work is rarely carried out in an inter-disciplinary manner, with the complete combination of OM, marketing, strategy, lean thinking and accounting approaches particularly poorly researched. Fully cross-functional integrative empirical research is required to help support the understanding of the applicability of OM practices within industry. This paper explores such an integration of approaches developed within the 'lean thinking, strategic cost management, marketing and policy deployment areas'. In order to investigate the approach a single automotive retailer is used as an instrumental case. The results of the study show that the new approach stands up well as an integrative approach that can prove highly beneficial results. However, the pilot work also identified a number of limitations that are the basis of further refinement and testing of the method.

Purpose – For over 20 years, management control literature has indicated the importance of supporting the strategy development and implementation process with strategic performance measurement systems (SPMS) and integrating traditional financial indicators with a set of multidimensional forward-looking measures focusing on the long term and linked to cause-effect relationships. Nevertheless, knowledge on the specific SPMS models used in practice and their effectiveness in supporting the managerial decision-making process is still fragmented and ambiguous. The purpose of this paper is to first analyse the SPMS models used in practice, also considering the role of strategy and firm size as drivers of adoption, thereafter analysing the capability of SPMS models to provide managers with measures that are consistent with their strategic information needs. Design/methodology/approach – The research is based on a survey involving 88 Italian medium-large sized firms (or subsidiaries of multinational firms) operating on a global level. Findings – The cluster analysis identifies two very different SPMS models used in practice. The first is the Short-term Financial Model, and as its name indicates, is based on short-term, internally focused and unconnected financial indicators. The second is the Multidimensional Additive Model, which integrates financial and non-financial measures but without a fully developed fit with the strategy. The research primarily indicates unsatisfied information needs in both clusters, presenting a significant challenge to the further development of existing SPMS models and in defining new theoretical SPMS frameworks. Practical implications – The adoption of an incremental approach to SPMS, simply adding new operational and strategic non-financial measures without a real fit with the strategy does not increase the information effectiveness of the system. Originality/value – The paper analyses the characteristics and use of SPMS models in practice from an exploratory perspective, defining and applying a model to evaluate the information effectiveness of SPMS.

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Version 02/12/2017 Acknowledgment This chapter is an outcome of the research workshop entitled Management meet ICT and return: new trends in data science, held on 25th October 2016 at the Department of Management of the University of Bologna in Italy, with the support of the FP7-PEOPLE-2011-CIG-303502-TASTE Project (www.project-taste.eu).