Business in brief library

Technology Techniques

Competitive Intelligence

Competitive Intelligence

Competitive intelligence concept is designed to aid managers and business owners in their decisions through competitive intelligence. You will gain an understanding of how to gather intelligence and use it to achieve organisational goals.

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Continuous Improvement

Continuous Improvement

Continuous improvement spans operations, strategy and digital transformation, evolving into an organisation-wide capability guided by phased models (Lameijer, 2023). It strengthens when leaders set aims, invest in coaching, standardise problem-solving routines, and cultivate autonomy with accountability and psychological safety (Löfqvist, 2024).

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Corporate Social Responsibility

Corporate Social Responsibility

This concept explores the different ways in which CSR is defined and provides an account of success factors and business evidence.

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Crisis Management

Crisis Management

Crisis management focuses on rapid response and continuity, but recent work adds three priorities: a structured readiness process, leadership for continuous (not one-off) crises, and contingent performance indicators aligned to crisis type and phase (Björck, Bläse and Bastida, 2024; Hällgren and Buchanan, 2024; Deverell and Ganic, 2024).

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Cross-Docking

Cross-Docking

This concept provides a review of cross-docking systems and discusses techniques that can improve the overall efficiency of the logistics and distribution operation. The concept also presents useful examples and implementation information.

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Cross-Functional Supply Management

Cross-Functional Supply Management

The concept examines current practices and trends in the field of cross-functional supply-chain management and provides practitioners with both a specialist knowledge and basic information in related business disciplines to design and manage efficient and effective cross-functional supply chain systems.

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Customer Centric International Shared Services

Customer Centric International Shared Services

Learn how customer centric international shared services can help your company achieve savings of 20%-30% or more, while significantly improving service delivery to internal customers across the globe. Case study evidence highlights the factors for success and provides step-by-step implementation advice.

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Customer Relationship Management

Customer Relationship Management

This technique explains what Customer Relationships management (CRM) is, what benefits it can deliver, within which contexts it can be used, how it can be implemented and how CRM technologies can be deployed to support customer management strategies and objectives.

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Customer Relationship Management Technology

Customer Relationship Management Technology

The concept explains the importance of CRM for building and managing successful customer relationships. It describes the key components of modern CRM technologies and provides a summary of the strengths and weaknesses and what measures can be used to monitor the implementation of this technology.

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Data Modelling

Data Modelling

Data modelling is essential for transforming raw information into usable structures that reflect organisational needs. By mapping business concepts into structured forms, it provides analysts with the clarity required to ensure reliable insights and support effective decision-making (Teorey et al., 2011).

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Data Normalisation

Data Normalisation

Database normalisation is a core principle of relational database design. It reduces redundancy and prevents anomalies in data storage and retrieval, ensuring integrity and consistency across systems (Codd, 1970; Kent, 1983).

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Data Transformation and Process Capability (Cp/Cpk)

Data Transformation and Process Capability (Cp/Cpk)

Effective improvement relies on data that can be interpreted correctly and measures that reflect real risk. Data transformation supports valid interpretation when distributions are skewed or non-linear. Process capability (Cp/Cpk) then quantifies whether a stable process can meet specification limits consistently.

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Data Warehousing and Data Mining in Business

Data Warehousing and Data Mining in Business

Data warehousing and data mining have emerged as key technologies and essential components of modern decision support systems. Strengths and weaknesses and success factors are considered and practical steps are provided to help organisations implement successfully.

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Database Design

Database Design

Database design is the foundation of reliable data systems. From relational to NoSQL, effective choices in deployment, security, and maintenance safeguard integrity, compliance, and performance. Data analysts must understand these principles to access, retrieve, and use data confidently across scalable, secure systems.

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