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Secondary sources are documents and informational resources that analyse, interpret, synthesise or contextualise information previously generated by primary sources. They do not produce original data; instead, they transform existing information into organised and comprehensible knowledge, facilitating the analysis of complex contexts, especially in competitive intelligence and strategic analysis processes.

Examples of secondary sources

In academic, professional and strategic contexts, they include:

  • Review articles and critical essays

  • Synthesis reports, comparative studies and meta-analyses

  • Handbooks, encyclopaedias and textbooks

  • Aggregated databases and analytical repositories

  • Market, sectoral or technology reports

Secondary sources make it possible to:

  1. Consolidate and organise existing knowledge

  2. Identify patterns, trends and relevant relationships

  3. Facilitate understanding of complex environments

  4. Provide a foundation for further research or decision-making

In business and strategic contexts, secondary sources are a key input for:

  • Competitive intelligence: analysing markets, competitors and ecosystems

  • Foresight and futures studies: identifying trends, megatrends and early signals

  • Decision-making: supporting strategic planning, innovation and risk management

By synthesising information from multiple sources, they help anticipate scenarios and guide decisions without the need to generate all data firsthand.

Because they interpret information produced by others, secondary sources should be used critically by:

  • Assessing their origin, methodological rigour and timeliness

  • Cross-checking findings with primary sources whenever possible

  • Considering potential biases or limitations

In today’s digital environment, their expansion through repositories, portals and intelligence platforms has increased accessibility, while also reinforcing the need for strong quality and reliability criteria.

Secondary sources are essential tools for transforming existing information into usable knowledge, supporting competitive intelligence, foresight, evidence-based decision-making and organisational learning.