At Value Chain Management, we recognize the challenges arising from these changes and believe that fostering business resilience requires a strategic focus on the organization’s value chain.
Over recent decades, we have witnessed unprecedented disruption across various facets of society, including rapid technological advancements, the profound impacts of the pandemic, shifts in political landscapes, and an increased focus on social values.
What is a Value Chain?​
A value chain is a business model that describes the full range of activities a company goes through to deliver a product or service to customers. It includes everything from raw material sourcing, production, marketing, and distribution to after-sales service.
The concept was introduced by Michael Porter in his book Competitive Advantage (1985). Porter divided the value chain into primary activities (which directly contribute to the creation and delivery of a product) and support activities (which help improve efficiency and effectiveness).
Our Thinking
What is your Value Chain?
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What is your secret success recipe and how your external and internal factors can be optimised to deliver effectiveness and efficiencies?
Adam Caar
Strategic Alignment
Value Chain Consultants play a vital role in this strategic alignment by guiding organizations in effectively leveraging data and AI to deliver realignment. Our expertise helps in developing comprehensive frameworks, implementing solutions tailored to specific business needs, and ensuring that teams possess the skills to interpret and act on insights in real time. Additionally, cultivating a diverse workforce and prioritizing the social value of communities remain integral to our approach. By fostering inclusivity and understanding community needs, organizations can align their strategies with broader social goals, enhancing their reputation and impact.
How AI, transformation and strategy are interconnected in our Value Chain
Central to this transformation is the effective utilisation of data. In today’s data-driven landscape, organisations must harness data to gain actionable insights, identify emerging trends, and make informed decisions. Artificial intelligence (AI) enhances this process by enabling advanced analytics that optimise operational efficiency and improve customer engagement. However, the key to successful integration lies in a well-defined strategy that connects AI and data with organizational goals.​
A robust strategy ensures that data collection, management, and analysis are aligned with the organization's objectives. It provides a roadmap for how AI can be employed to drive innovation and enhance decision-making. By establishing clear priorities and measurable outcomes, organizations can effectively translate data insights into actionable initiatives.