What is the information management model?

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The information management model is a structured framework that helps organizations organize and manage their information flows, systems, and processes in a coherent manner. The model maps out how information is collected, stored, shared, and used within an organization, and who is responsible for these tasks. It is therefore an indispensable tool for any organization that wants to gain control over its digital infrastructure. In this article, we answer the most frequently asked questions about the model.

Where does the information management model come from?

The information management model has its roots in information science and business administration in the 1980s and 1990s, when organizations became increasingly dependent on computerized systems. Scientists and management consultants sought a way to make the growing complexity of information systems manageable. The model has since been further developed and adapted to the demands of the digital age.

In the Netherlands, the model has been strongly influenced by the work of researchers and consulting firms that focused on government organizations and education. The need for transparency, oversight, and accountability in those sectors called for a common language around information management. This led to widely accepted models that also gained traction in the business world. Today, in 2026, the model has evolved further to also encompass topics such as cloud migration, data governance, and AI-driven decision-making.

What layers or components make up the model?

The information management model typically consists of three to four layers that together describe an organization’s entire information management system: the strategic layer, the tactical layer, the operational layer, and sometimes a technical or infrastructure layer. Each layer has its own focus, responsibilities, and tools.

  • Strategic layer: This is where information objectives are linked to the organizational strategy. Questions such as “What information do we need to achieve our mission?” are central.
  • Tactical layer: At this level, policies, standards, and architectural choices are made. This includes determining which systems are used and how they communicate with one another.
  • Operational layer: This is the day-to-day execution: who performs which information tasks, how is data entered and maintained, and how are errors corrected?
  • Technical or infrastructure layer: The underlying hardware, software, networks, and security measures that enable the flow of information.

The strength of the model lies in the interconnection between these layers. A decision at the strategic level always has consequences for operational implementation, and conversely, operational bottlenecks often point to strategic shortcomings. By examining all layers in conjunction with one another, you can prevent departments from working in silos.

What is the difference between information management and information policy?

Information management is the active process of organizing, managing, and improving information flows within an organization. Information policy is the set of agreements, rules, and objectives that determines how an organization handles information. In short: information policy is the framework; information management is the implementation of that framework.

The information policy defines what an organization aims to achieve with its information: what data is retained, who has access to it, how long data is stored, and how privacy laws are complied with. Information management translates that policy into concrete processes, roles, and systems. Without policy, information management lacks direction; without management, policy remains a paper tiger.

For organizations in sectors such as government or education, this distinction is particularly relevant. The information policy must align with laws and regulations, while information management ensures daily compliance.

How does an organization apply the information management model?

An organization implements the information management model by first conducting a baseline assessment of its current information management practices, then formulating desired objectives, and finally implementing improvements step by step at each level of the model. Implementation is a cyclical process, not a one-time project.

In practice, the process often involves the following steps:

  1. Assess the current situation: Identify which systems, processes, and data sources exist, and who is responsible for what.
  2. Set priorities: Not everything can be improved at once. Determine which bottlenecks have the greatest impact on the organization’s goals.
  3. Design the desired situation: Describe, layer by layer, what the ideal information management system would look like, including roles, systems, and processes.
  4. Implement step by step: Roll out changes in phases to ensure buy-in from the organization and minimize risks.
  5. Evaluate and improve: Measure whether the desired situation has been achieved and adapt the model based on new insights or changing circumstances.

A solid knowledge base plays a supporting role in this regard: when employees have easy access to the right information, information management runs much more smoothly in practice.

Which organizations stand to benefit the most from this model?

Organizations with complex information flows, multiple departments or locations, and a heavy reliance on data for decision-making benefit most from the information management model. This is particularly true for medium- to large-sized organizations in sectors such as government, education, healthcare, utilities, and business services.

Smaller organizations can also benefit from the model, but its formal implementation is often less urgent as long as information flows remain manageable. As soon as an organization grows, begins using multiple systems, or faces stricter regulations regarding data management, a structured approach to information management quickly becomes indispensable.

Organizations that struggle with fragmented systems—where employees have to switch between multiple screens and management lacks a centralized overview—immediately recognize the value of a well-designed information management model. It provides the structure needed to combat fragmentation and gain control over information management as a whole.

What are some common mistakes made when using the model?

The most common mistakes made when using the information management model are: treating the model as a one-time project rather than an ongoing process; focusing too much on technology and not enough on people and processes; and a lack of clear ownership at each level of the model.

Other common mistakes include:

  • Remaining too abstract: The model is well described in documents, but does not translate into concrete actions and responsibilities in day-to-day practice.
  • Insufficient buy-in: Information management is viewed as an IT matter, even though it affects the entire organization. Without the involvement of management and employees, implementation will fail.
  • Silo mentality: Departments develop their own information management systems without coordinating with the rest of the organization, leading to further fragmentation.
  • Lack of focus on data quality: Systems are set up, but the quality of the data itself is not monitored, resulting in decision-making based on unreliable information.
  • Failure to evaluate: After implementation, the model is shelved. Information needs are constantly changing, so periodic evaluation is essential.

How Pegamento Helps with Information Management in Your Organization

A good information management model stands or falls on the right technology and processes that reinforce each other. At Pegamento, we help organizations streamline their information flows, integrate systems, and gain control over their customer interactions and business processes. We don’t do this with costly custom solutions, but with smart combinations of proven modules that truly help your organization move forward.

What we can do for you:

  • Omnichannel customer contact: With our contact center technology, you can bring all channels—phone, chat, email, and WhatsApp—together into a single, easy-to-use platform. No more fragmented systems—just one central hub.
  • Agentic AI for process automation: Whereas traditional RPA relied on execution-based bots, we now refer to this as Agentic AI: self-thinking assistants that not only follow instructions but also take the initiative and act independently. This makes the automation of information processes significantly more powerful.
  • Everything under one roof: From implementation to management and support, you have a single point of contact. No complex vendor management—just a cohesive, all-in-one package.
  • Certified quality: We operate in compliance with ISO 27001 (information security), ISO 9001, and ISO 26000, so you can be sure that information security and quality are guaranteed.

Would you like to know how your organization can gain better control over its information management? Contact us, and we’d be happy to work with you to figure out the first steps.

Frequently Asked Questions

How long does it take, on average, to fully implement the information management model?

The implementation time varies greatly from organization to organization and depends on the size and complexity of the existing information management system, as well as the available capacity. For medium-sized organizations, you can expect an initial implementation phase of six months to two years, with the first improvements potentially visible after just a few weeks. Keep in mind that the model is never truly ‘finished’: it is an ongoing process that evolves alongside your organization and its changing information needs.

Who within the organization should be responsible for the information management model?

Ideally, ownership lies with a Chief Information Officer (CIO), an information manager, or a similar role that holds both strategic and operational authority. It is crucial that this person can build bridges between IT, management, and the front lines, because information management affects the entire organization. In smaller organizations, this role can be assigned to a member of senior management or a designated project leader, provided there is sufficient authority and budget available.

What is the difference between an information management model and an enterprise architecture?

Enterprise architecture is a broader framework that describes the entire organizational structure, including business processes, applications, data, and technology in their interrelationships. The information management model focuses specifically on information management: how information flows, is managed, and is governed. You can think of the information management model as a specialized ‘lens’ within the broader enterprise architecture, with an emphasis on data ownership, information policy, and information quality.

How do you keep the information management model up to date given how rapidly AI and cloud technology are changing?

Schedule a formal review at least once a year to assess the model against new technological developments, changes in laws and regulations (such as the GDPR or the AI Act), and evolving organizational goals. Assign someone to continuously monitor the market and translate relevant trends into concrete adjustments for each layer of the model. From a practical standpoint, it helps to build the model in a modular way, so that you can adjust specific components—such as the technical layer—without having to rewrite the strategic frameworks.

How do you deal with employee resistance when implementing the model?

Resistance often arises because employees perceive the model as additional bureaucracy or a threat to their autonomy. Involve key figures from various departments early in the design process so that the model aligns with daily work practices and employees feel a sense of ownership. Clearly communicate the concrete benefits for the workplace—such as less time spent searching for information, fewer errors, and clearer responsibilities—and celebrate small successes to build support.

What measurable KPIs can you use to assess the effectiveness of the information management model?

Consider KPIs such as the average time employees spend searching for information, the percentage of data quality errors in core systems, the degree of system integration (how many processes run without manual transfer), and compliance with information policies during audits. Additionally, you can measure employee satisfaction with information provision through periodic surveys. By comparing these metrics before and after implementation, you can demonstrate the model’s added value to management.

Is the information management model also suitable for organizations that are already well advanced in their digital transformation?

The model remains particularly relevant for digitally mature organizations, as the complexity of information flows increases as more systems, data sources, and automation solutions are put into use. At that stage, the focus shifts from setting up basic structures to refining data governance, ensuring AI-driven decision-making, and managing dependencies between systems. The model then helps maintain an overview and ensure strategic coherence, even as the technological environment continues to evolve.

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