Editorial

Real-Time in Government

Real-time systems are often associated with split-second decisions, but in practice the definition is far broader. Here, Isaac Moreno Navarro, Lead Presales Architect for Aker Systems explores what real-time means in a government context, why strong data foundations matter, and how public sector organisations can move from legacy batch processing to data-driven decision-making.

Posted 16 June 2026 by Christine Horton


Let’s start from the beginning, with the very definition of what is a real-time system.

What is real-time?

When we talk about “real-time”, most people picture a system that responds instantly – in milliseconds. In computer science, however, the definition is far more precise: a real-time system is simply one where correctness depends not just on what is computed, but on when it is delivered. If an output misses its operational deadline, the system has failed.

This means “real-time” can actually be a surprisingly long period. Consider a mission control team managing a rover on Mars. Because of the vast distance through space, radio signals take roughly seven minutes to travel one way, creating a strict 14-minute round-trip communication loop.

If the rover sends data about a shifting sand dune, any command sent from Earth to adjust its wheels must arrive within that 14-minute window to be useful. If the calculation on Earth takes too long and the response arrives at minute 15, the data is useless, the deadline is missed, and the system fails. In the depths of space, “real-time” isn’t measured in milliseconds – it is, in this example, exactly 14 minutes.

Obviously, this is an extreme example to illustrate how deadlines work. In most everyday applications on Earth, real-time constraints are much stricter, usually requiring a response within a few seconds or even milliseconds, as we are just about to explore.

Bringing batch data into real-time

To successfully achieve true real-time capabilities, organisations must first shift how they govern and structure their underlying architecture. Real-time is not a technology you simply overlay onto legacy systems; it requires transitioning towards a Data Product-oriented strategy. Before an enterprise can safely consume streaming data, it must treat its critical datasets as high-quality, self-contained products. Implementing this paradigm shift requires embedding a clear sequence of foundational pillars:

  • Defining self-service platforms to remove IT bottlenecks
  • Establishing code-enforced Data Contracts to guarantee schema stability and update frequencies
  • Deploying unified data marketplaces to ensure these products are discoverable and secure

By establishing this product-centric foundation first, public and private sector organisations can eliminate the traditional chaos of distributed data, creating the predictable, trusted framework necessary to unlock real-time streaming and prepare an AI-ready data platform.

Does Real-Time matter in a government environment?

The short answer is it depends entirely on the use case. This is exactly where Aker Systems excels – helping our customers define their operational windows and designing the architecture to meet them.

While the most critical applications of these systems are found in national security and public safety, the definition of “real-time” varies dramatically across different operational contexts:

  • Border Control (~Tens of Minutes): The analysis of passenger data as travellers enter the UK is a textbook soft real-time scenario. Here, we are processing streaming data that must be analysed within a window of tens of minutes before it loses its operational relevance.
  • Maritime Traffic Control (~Hours): Given the speed of a cargo vessel, real-time tracking and risk assessment can safely operate within a window of several hours—provided all data is processed and enriched before the ship reaches port.
  • Threat Detection & Surveillance (~Seconds/Milliseconds): At the other end of the spectrum, CCTV monitoring systems must detect immediate physical threats instantly. Similarly, the UK’s National ANPR Service ingests tens of millions of daily camera feeds from across the road network. To track a vehicle of interest across regional borders, the platform must combine this massive data volume with immediate, automated enrichment from other intelligence sources, delivering actionable results in seconds.

Of course, not all use cases are quite so dramatic. There is immense value in transforming static, legacy batch data into live streams to improve daily civic life. A perfect example is the rise of ‘Digital Twins’ in local government, where real-time sensor data helps councils manage public infrastructure more efficiently. Likewise, combining live traffic feeds with weather forecasts allows for proactive traffic management—clearing bottlenecks before they cause gridlock and ensuring public resources are deployed exactly where they are needed most.

The Aker Systems value proposition for Government

What makes Aker Systems truly unique is our ability to provide a secure, high-performance bridge between Data Products and real-time data streaming. We believe that establishing a robust data-product philosophy is the essential prerequisite for successful real-time operations.

By treating data as a high-quality, continuous product, government organisations can dramatically enhance their use cases, accelerate legacy systems modernisation, unlock AI readiness, and maximise the value of their data assets. In the long run, this architectural shift delivers two critical outcomes: substantial budget savings and, more importantly, faster, more responsive public services for the citizen.

Depending on the maturity of an organisation the approach may vary, but based on our experience, the typical roadmap for an organisation looking to embark on this transformation involves three clear strategic steps:

  1. Discover & Cleanse: Moving away from fragmented legacy silos by auditing existing data assets, establishing strict metadata standards, and defining clear ownership.
  • Productise (Data Contracts): Transitioning static datasets into reusable Data Products. This means wrapping them in code-enforced Data Contracts that guarantee quality, security, and schema stability.
  • Stream & Automate: Layering real-time streaming architectures (like event-driven pipelines) onto these secure products, enabling the organisation to move from delayed batch insights to immediate, predictive decision-making.

Ready to Define Your Real-Time Window?

Whether your operational deadline is measured in milliseconds or minutes, building the right data foundation is key to public sector innovation. Contact the Aker Systems team today to find out how we can help you bridge the gap between legacy batch systems and secure, real-time data products.

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