Integrating customer relationship management with business intelligence platform design: a design science approach

Abstract Situated within the broader business analytics paradigm, business intelligence (BI) is important in providing small and medium-sized enterprises (SMEs) with the information needed to manage customer relationships successfully. However, SMEs face specific challenges when integrating customer relationship management (CRM) with the development of BI platforms. Drawing on the design science research methodology, this study combines CRM and BI to design, develop, implement, and evaluate a CRM-BI platform alongside strategic and process artefacts within an SME that supplies specialist construction materials. First, we design the customer strategy and the approach to developing customer relationships. We then design a customer experience map and service blueprint, which inform the customer engagement model. Drawing on these strategic and operational CRM artefacts, a BI dashboard is developed to support a broader review of business practices and facilitate data-driven decision-making. Successful implementation of the CRM-BI platform enabled the SME to transition from reactive decision-making to proactive, data-driven strategic decision-making, identify new business opportunities, and improve overall business performance. The platform also supported a programme of strategic change, restructuring, improved accountability, and innovation. The study contributes to theory and practice through novel artefacts, design principles and design knowledge.

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Publication Details

Journal
Journal of Digital Management
Published
2026-09-15
DOI
https://doi.org/10.1007/s44362-026-00024-x
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating customer relationship management with business intelligence platform design: a design science approach

Julie McCandless, Byron Graham, Louise Skeath, Min; id_orcid 0000-0002-7955-1467 Zhang
Journal of Digital Management
Big Data and Business Intelligence
article

Integrating customer relationship management with business intelligence platform design: a design science approach

Julie McCandless, Byron Graham, Louise Skeath, Min; id_orcid 0000-0002-7955-1467 Zhang
article en

Abstract

Abstract Situated within the broader business analytics paradigm, business intelligence (BI) is important in providing small and medium-sized enterprises (SMEs) with the information needed to manage customer relationships successfully. However, SMEs face specific challenges when integrating customer relationship management (CRM) with the development of BI platforms. Drawing on the design science research methodology, this study combines CRM and BI to design, develop, implement, and evaluate a CRM-BI platform alongside strategic and process artefacts within an SME that supplies specialist construction materials. First, we design the customer strategy and the approach to developing customer relationships. We then design a customer experience map and service blueprint, which inform the customer engagement model. Drawing on these strategic and operational CRM artefacts, a BI dashboard is developed to support a broader review of business practices and facilitate data-driven decision-making. Successful implementation of the CRM-BI platform enabled the SME to transition from reactive decision-making to proactive, data-driven strategic decision-making, identify new business opportunities, and improve overall business performance. The platform also supported a programme of strategic change, restructuring, improved accountability, and innovation. The study contributes to theory and practice through novel artefacts, design principles and design knowledge.

Journal of Digital ManagementVol. 2(1)
Queen's University Belfast (GB), Armagh Observatory & Planetarium (GB)
Innovate UK
Openalex Percentile: Top 25%
Big Data and Business Intelligence
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