Territorial Intelligence: The Missing Layer in Regional Strategy

01. From data abundance to strategic scarcity.

The contemporary challenge is no longer primarily access to information. It is the ability to distinguish what matters.

Regional decision-makers operate in an environment characterized by data abundance, institutional fragmentation and accelerated change. Economic structures are being reshaped by digitalization, climate pressures, demographic ageing, geopolitical uncertainty, automation, new forms of production and changing patterns of mobility. These forces do not affect all places equally. Their effects depend on territorial assets, vulnerabilities, institutional capacities and connections to wider systems.

The same trend may create an opportunity in one region and a risk in another. Digitalization can enable rural entrepreneurship while simultaneously weakening traditional employment. Decarbonization can generate new industrial opportunities while exposing carbon-intensive sectors. Population ageing can increase demand for care services while reducing the available workforce. Global value-chain restructuring can attract new investment but also create dependency on external decisions.

The existence of data does not explain these differentiated effects. Interpretation does.

A regional strategy based on isolated indicators can easily become misleading. A rise in employment may conceal the spread of low-productivity jobs. Increased business creation may coexist with low survival rates. Population stability may hide the loss of younger residents. Investment growth may be concentrated in activities with weak local linkages. A strong innovation indicator may reflect the presence of one institution rather than a broad regional ecosystem.

Territorial intelligence begins by refusing to treat indicators as conclusions. Indicators are signals. Their meaning depends on context, comparison, scale, time and relationships. The purpose of intelligence is to understand what the signals reveal, what they conceal and what they require decision-makers to do.

02. What territorial intelligence means.

The concept of territorial intelligence has been developed across several academic and policy traditions. It has been associated with territorial development, economic intelligence, collective intelligence, knowledge management, spatial planning and sustainable development. A literature review identifies three recurring characteristics: territorial intelligence is a collective process, it combines external information with the knowledge held by local actors, and it supports collaboration for sustainable development within a broader global perspective.

This definition is important because it distinguishes territorial intelligence from the simple application of business intelligence tools to a geographic area. A territory is not a company. It has no single owner, no unified balance sheet and no executive team with complete authority over its resources. Its development is shaped by multiple actors whose interests, responsibilities and time horizons may differ.

Territorial intelligence must therefore combine at least four dimensions:

• Analytical capacity — the ability to collect, organize, compare and interpret relevant information
• Relational capacity — the ability to connect institutions, businesses, communities, researchers and decision-makers
• Strategic capacity — the ability to translate knowledge into priorities, choices and actions
• Learning capacity — the ability to evaluate results, revise assumptions and improve over time

The word “intelligence” should not be understood as a claim that a territory thinks like a person. It refers to a capacity for sense-making and purposeful action. A territory becomes more intelligent when it can collectively understand its structures and dynamics, recognize change earlier, coordinate responses and build shared representations of its future.

In this sense, territorial intelligence is both a process and an institutional capability. It is a process because knowledge must be continuously produced, debated and updated. It is a capability because institutions must develop the skills, routines, tools and partnerships necessary to use that knowledge consistently.

03. The difference between data, information, knowledge and intelligence.

A useful starting point is to distinguish four concepts that are frequently treated as interchangeable.

Data are observations: the number of firms, the unemployment rate, commuting flows, patents, emissions, school enrolment, land availability or business survival rates.

Information is organized data. It gives an indicator a definition, a location, a time period, a source and a method of measurement.

Knowledge emerges when information is interpreted through expertise, experience and context. It explains possible causes, relationships and implications.

Intelligence appears when knowledge is used to guide decisions in conditions of uncertainty. It identifies what is strategically relevant, what may happen next, which options are available and what action should be taken.

This progression is not automatic. A sophisticated dashboard may improve the presentation of information without producing knowledge. A detailed study may produce knowledge without influencing strategy. Intelligence requires a connection between evidence and choice.

For example, a region may know that its manufacturing sector has a high share of employment. That is data. It may compare this share with other regions and observe that manufacturing employment has declined over a decade. That is information. It may then discover that the decline is concentrated in specific subsectors exposed to energy costs, skills shortages and supply-chain disruption. That is knowledge. Territorial intelligence begins when the region uses this understanding to decide whether to prioritize industrial diversification, energy transition, supplier development, workforce retraining or new investment attraction.

The value lies not in knowing more facts, but in making better-informed choices.

04. The territory as a system of relationships.

Territorial intelligence requires a systemic view. Regions are not collections of administrative units or lists of assets. They are systems of relationships involving people, firms, infrastructures, institutions, ecosystems, flows and narratives.

A business is influenced not only by its own capabilities, but by access to suppliers, skills, finance, technology, logistics, public services and knowledge networks. A municipality’s attractiveness depends not only on its own policies, but also on regional transport, housing markets, educational institutions, neighbouring jurisdictions and wider economic trends. A rural area may depend on urban employment centres, digital connectivity, environmental services, tourism flows and food systems.

This is why territorial intelligence cannot be limited to administrative boundaries. The OECD’s current approach to place-based regional development emphasizes the importance of functional areas and the interdependencies that connect places, including urban-rural relationships, metropolitan systems and cross-border cooperation. Territorial realities often exceed institutional jurisdictions.

A region may be politically divided but economically integrated. Its labour market may be metropolitan even when its governance is municipal. Its innovation system may depend on institutions located outside its borders. Its environmental risks may follow river basins, coastlines or ecosystems rather than administrative lines.

Strategic intelligence must therefore ask not only where an asset is located, but how it connects to other assets. The relevant unit of analysis may be a functional labour market, an industrial ecosystem, a commuting area, a logistics corridor, a watershed, a cluster, a cross-border region or a network of towns.

The question is not simply “What does this territory contain?” It is “What relationships make this territory work?”

05. The hidden value of local knowledge.

Official statistics and quantitative datasets are indispensable, but they are never sufficient. Much of the knowledge required for regional strategy is tacit, distributed and difficult to measure.

Business leaders know where recruitment is becoming difficult before the problem appears in official statistics. Local associations understand which support measures are inaccessible in practice. Teachers and training providers see changes in student aspirations. Civil-society organizations identify emerging vulnerabilities. Municipal staff recognize administrative bottlenecks. Researchers observe technological shifts before they affect employment indicators.

This local knowledge should not be treated as anecdotal evidence with no strategic value. Nor should it replace rigorous data. Territorial intelligence emerges when quantitative evidence and situated knowledge are brought into structured dialogue.

The OECD Recommendation on Regional Development Policy explicitly emphasizes active engagement with communities and stakeholders throughout the policy cycle in order to gather and co-produce the knowledge needed to identify regional needs and assets. It also calls for strategic communication channels and access to timely, reliable and relevant data and evidence.

Co-production matters because no single institution sees the whole territory. Knowledge is fragmented across organizations. Intelligence is created by connecting those fragments in a way that improves collective understanding and action.

This requires more than consultation meetings. It requires a disciplined architecture for listening, verification and synthesis. Stakeholders should not only be asked what they want; they should be invited to test interpretations, identify blind spots, validate assumptions and explore scenarios. Participation becomes strategically valuable when it improves the quality of decisions.

06. A territorial intelligence cycle.

A territorial intelligence system can be understood as a continuous cycle with six interconnected stages.

1. Framing the strategic question. The process should begin with a decision, not with a dataset. The question might concern industrial transition, talent retention, investment attraction, housing, climate adaptation, business succession, rural connectivity or the future of a specific sector. A weak question produces a large amount of irrelevant information. A strong question defines the decision context: what is changing, who is affected, what is uncertain and what must be decided.

2. Building the territorial evidence base. The next step is to assemble relevant quantitative and qualitative evidence — official statistics, business intelligence, geospatial data, administrative records, expert interviews, stakeholder workshops, case studies and comparative analysis. The objective is not to collect everything, but to construct an evidence base proportionate to the decision.

3. Interpreting structures and dynamics. Evidence must be interpreted across three dimensions: structure (the existing configuration of the territory), dynamics (change over time) and interaction (the relationships between elements — how skills affect investment, how transport affects labour markets, how housing affects talent retention). This is the stage at which patterns become strategically meaningful.

4. Generating strategic options. Interpretation should produce options, not merely diagnosis. What can the territory do? Which options reinforce existing strengths? Which require new capabilities? What are the risks, costs, trade-offs and dependencies? A strategy without alternatives is often just a description of the present.

5. Mobilizing collective decisions. Intelligence has to circulate. Findings should reach the actors who can influence outcomes, in formats they can use. This stage involves strategic communication, coalition-building and institutional alignment — creating sufficient shared understanding for coordinated action.

6. Monitoring, evaluating and learning. The final stage connects action back to evidence. Indicators should be used not merely to report progress, but to test whether the underlying assumptions of the strategy remain valid. The OECD Recommendation calls for robust performance-management mechanisms that use monitoring and evaluation to understand policy performance, assess policy coherence and inform new initiatives.

The cycle then begins again. Intelligence is not a report delivered at the end of a project. It is a permanent institutional practice.

07. Territorial intelligence and place-based policy.

Territorial intelligence is particularly important because regional development is inherently place-based. Uniform policies often fail because they assume that similar instruments will produce similar results in different contexts. Yet regions differ in economic structure, institutional capacity, demographic profile, accessibility, natural resources, social cohesion and exposure to external shocks.

The OECD and European Commission have highlighted the renewed importance of place-based policies precisely because persistent spatial disparities are being amplified by climate change, technological change, globalization and demographic change. Place-based approaches seek to respond to the specific needs and potentials of different places while contributing to national competitiveness, social cohesion and long-term sustainability.

A place-based policy requires a place-based evidence system. Without territorial intelligence, place-based policy risks becoming a slogan applied to standardized programmes. The label changes, but the underlying decision process remains centralized and generic.

Territorial intelligence enables policy to become more precise. It can reveal where a national or regional programme is likely to have strong effects, where additional support is necessary, which populations may be excluded and how different interventions interact. It can show that two places with similar economic indicators require different solutions because their institutional capacities or functional connections are different.

The goal is not to create a separate policy for every place. It is to understand which elements should be differentiated, which can be shared and where cooperation can generate economies of scale.

08. From diagnosis to anticipation.

A mature intelligence system should not only explain what has happened. It should help territories anticipate what may happen next.

Anticipation does not mean predicting the future with certainty. It means identifying signals, scenarios, vulnerabilities and options before pressures become crises. This is especially important in an era of non-linear change. Traditional trends can continue for years and then be disrupted by a technological, environmental, economic or geopolitical shock.

Strategic foresight, horizon scanning, scenario development and stress-testing can complement conventional indicators. A region may examine how different combinations of energy prices, climate impacts, migration, automation and global demand would affect its sectors and communities. It may identify which capabilities would be valuable across several scenarios and should therefore be developed early.

Anticipation also changes the time horizon of governance. Political and funding cycles often favour visible short-term outputs. Territorial intelligence makes it possible to connect immediate decisions with longer-term trajectories. It asks whether an investment creates future adaptability or locks the territory into a vulnerable path.

The most important regional strategies are often not those that predict the future correctly. They are those that prepare the territory to respond intelligently when the future differs from expectations.

09. Technology is an enabler, not the intelligence.

Digital platforms, artificial intelligence, geospatial systems, open data and real-time monitoring can significantly strengthen territorial intelligence. They can improve access to information, identify spatial patterns, automate analysis and support scenario modelling. The OECD encourages the use of smart, big, open and geospatial data to improve the timeliness and quality of subnational evidence, while emphasizing sound data governance and privacy safeguards.

But technology alone does not create intelligence. A dashboard cannot determine which problem deserves political priority. An algorithm cannot replace institutional judgment. A map cannot explain the interests and fears of the actors represented within it. More data can even produce less clarity when there is no conceptual framework for interpreting it.

Technology should serve four purposes: make relevant evidence easier to access; reveal relationships that would otherwise remain invisible; support timely and transparent decisions; and strengthen collective learning.

The central question is not whether a territory has a sophisticated platform. It is whether the platform improves the quality, speed and legitimacy of strategic decisions.

Digital tools must therefore be embedded in governance arrangements. They require data standards, shared definitions, interoperability, skills, ethical safeguards, responsible ownership and clear routes from analysis to action.

10. The institutional challenge.

The greatest obstacle to territorial intelligence is often not technical. It is institutional.

Data may be distributed across departments that do not communicate. Agencies may use different definitions for the same concept. Projects may generate studies that are not integrated into organizational memory. Political priorities may change before evidence is absorbed. Institutions may protect information rather than share it. Analysts may work separately from decision-makers. Stakeholders may be consulted but not involved in interpretation.

Building territorial intelligence requires a culture of cooperation and learning. It requires institutions to value analytical work, challenge assumptions and make room for uncertainty. It requires leadership capable of connecting technical expertise with political judgment.

It also requires investment in people. The OECD identifies strategic planning, policy and programme management, project appraisal, data management, stakeholder engagement, partnership building, monitoring and evaluation among the capacities needed for effective regional development policy. These are not separate skills. Together, they form the operational foundation of territorial intelligence.

A territory cannot become intelligent by outsourcing all interpretation. External expertise can be valuable, but local institutions must retain the capacity to understand, question and use the knowledge produced. Otherwise, every new challenge requires a new external study, while strategic learning remains shallow.

11. A school of thought for regional strategy.

Territorial intelligence should not be reduced to a technical methodology. It can become the foundation of a broader school of thought for regional development, beginning with several propositions.

First, territory is a system, not a container. Development depends on relationships, flows and interdependencies, not only on the assets located within administrative borders.

Second, data is a means, not an outcome. The value of information is determined by its contribution to interpretation, decision-making and collective action.

Third, strategy must be contextual. There are no universal territorial solutions detached from institutional, economic, social and environmental conditions.

Fourth, knowledge is distributed. Intelligence emerges when official evidence, expert analysis and local experience are combined rather than separated.

Fifth, competitiveness and sustainability are interconnected. A territory’s long-term economic performance depends on its resilience, environmental quality, human capital and social legitimacy.

Sixth, anticipation is a governance function. Regions should not merely react to trends; they should develop the capacity to identify possible futures and shape their exposure to them.

Seventh, intelligence must be actionable. The final test of analysis is not sophistication but whether it improves choices, coordination and outcomes.

This approach gives territorial intelligence a distinct role. It is not merely an analytical support function located at the margins of strategy. It is the layer that connects evidence, interpretation, governance and action.

12. The strategic consequences.

When territorial intelligence becomes embedded in regional strategy, several changes follow.

Investment attraction becomes more targeted. Instead of promoting generic advantages, territories can identify sectors and investor profiles that fit their capabilities, supply chains, labour markets and development objectives.

Business support becomes more differentiated. Programmes can respond to the actual needs of firms at different stages, sectors and locations rather than offering uniform assistance.

Innovation policy becomes more connected to the productive system. Universities, technology centres and companies can be linked around real territorial challenges and market opportunities.

Talent strategies become more realistic. They can address not only recruitment but also retention, housing, mobility, career progression, belonging and the quality of the surrounding ecosystem.

Sustainability strategies become more integrated. Environmental objectives can be connected to industrial modernization, circular economy models, energy systems, land use and new business opportunities.

Communication becomes more credible. The territory can tell a story grounded in evidence, distinctive capabilities and visible action rather than relying on generic promotional language.

Most importantly, strategy becomes more adaptive. It is no longer a fixed document produced at the beginning of a funding period. It becomes a living system of priorities, evidence, partnerships and learning.

13. The final proposition.

Many regions have data. Some have information systems. A smaller number have analytical capacity. Very few possess territorial intelligence in the full strategic sense.

The difference lies in the ability to move from measurement to meaning, from meaning to choice, and from choice to coordinated action.

Territorial intelligence is the missing layer because regional strategies often fail not from a total absence of knowledge, but from a failure to connect knowledge with governance. Data remains fragmented. Local experience remains informal. Studies remain isolated. Indicators are reported but not interpreted. Strategies are written but not learned from.

A territory becomes strategically intelligent when it can ask better questions, build shared evidence, interpret change in context, recognize interdependencies, involve relevant actors, anticipate alternatives and act with greater coherence.

This is not a luxury reserved for major metropolitan regions or highly resourced institutions. It is particularly important for small and medium-sized territories, which cannot afford to waste limited resources on disconnected initiatives or imitate strategies designed for different contexts. For them, intelligence is a force multiplier. It allows modest assets to be organized more effectively, opportunities to be recognized earlier and partnerships to be built with greater precision.

The future of regional competitiveness will not be determined only by who has the most data. It will be determined by who can make the best sense of change.

The regions that lead will be those that develop the capacity to see beyond indicators, beyond administrative boundaries and beyond short-term project cycles. They will understand that territorial intelligence is not simply about knowing more about a place. It is about enabling the place to know itself better, learn faster and act more deliberately.

That is the foundation of a new regional strategy. And it is the beginning of a distinct school of thought: one in which intelligence is not imported into the territory as a finished product, but built collectively through evidence, interpretation, dialogue and action.

Because data can describe a territory. Only intelligence can help transform it.