15 years of experience in project management
This development is evident in many organizations. At the same time, many projects are still in the midst of this transition. In this article, we examine how Project Controls Management and Document and Information Management have evolved over the past fifteen years and what that means for projects today.
2010 – Making the Most of What You Have
Project Controls is all about maintaining an overview
During this phase, project controls are primarily about maintaining an overview. Planning and costs are the main focus, and reports mainly show what has already been done.
Data comes from various systems and is often compiled manually. This takes time and makes it difficult to make quick adjustments. The role of project controls is primarily a supporting one.
Document Control is the foundation
Document Control is currently in the midst of the digitization phase, but is still far from being fully automated. The focus is on document registration, numbering, revision control, and distribution. In practice, much of the work is still handled via email and shared drives. Systems are primarily used for storage, while a clear structure is often lacking. Paper also still regularly serves as an official archive. The result: information is fragmented and not always easy to find.
2015 – greater coherence, greater structure
Project Controls as a consultant
Projects are becoming larger and more complex. This creates a need to view planning, risk, and costs in a more integrated manner.
Dashboards and visualizations make project information easier to understand, and project controls are increasingly shifting toward project management in an advisory capacity.
The integration of 4D scheduling and even cost information into 3D models is also becoming increasingly common. It stands to reason that project management will continue to evolve in this direction in the coming years.
Document management systems are making their debut
More and more projects are using a centralized document management system. Document flows are being better organized, and review and approval workflows are becoming standard practice.
There is also a growing focus on structure: metadata, naming conventions, and standard practices. Document control is evolving into information coordination.
The use of 3D models as digital twins makes it possible to generate documentation and link it to the DMS. This development is still in its infancy, but it holds great potential. Paper is increasingly being phased out, and processes are largely becoming digital, with the exception of documentation required during implementation.
2020 – The Pace of Digitalization Accelerates
Project Controls Management is becoming visual and data-driven
Data is becoming increasingly important. Dashboards provide insights more quickly, and forecasting helps us look ahead rather than just back.
Project controls play a more active role in identifying deviations and supporting decision-making.
The development of 4D and 5D integrations in models continues, but has not yet fully lived up to its promise in all cases. It has proven difficult to completely replace experience and knowledge of project execution with a data-driven approach.
Information Management and Automation
The focus is shifting from documents to information. Systems are being linked to other sources, such as BIM, CFIHOS, and asset data.
Automation helps streamline workflows and improve organization. At the same time, the volume of information is growing rapidly, making it harder to maintain an overview.
Collaborating on documents is becoming more user-friendly and, as a result, more accessible. This speeds up processes, but storing information in a structured way and ensuring it remains easy to find remains a challenge.
2025 – Data-Driven Management with Artificial Intelligence
Project Controls supports project management
Project controls is now much more than just reporting. It’s about providing insight and helping to steer the project.
Data from various sources is combined to identify trends and risks earlier. Artificial intelligence supports the analysis, but interpreting the impact remains a human task.
Information management is all about ownership
Information is key, not the document itself. It’s all about coherence, context, and discoverability.
Automation and artificial intelligence help structure and search through large amounts of information. But without clear guidelines and ownership, even this remains only partially effective.
AI also makes it possible to further automate and streamline routine tasks using agents.
What has really changed?
If you look at the big picture, you can see a clear shift:
• From monitoring to steering
• From managing documents to organizing information
• From reporting after the fact to looking ahead
Project management is becoming less and less about gathering information and more and more about making that information useful.
In practice, it's more difficult
The progression outlined above follows a clear path, but in practice, things rarely go so smoothly. Many organizations find themselves somewhere in between these phases.
Systems are partially in place, processes don’t always align, and while data is available, it isn’t yet truly usable for steering projects faster and more effectively.
How Ditio has evolved in this area
That’s precisely where the challenge lies. And that’s exactly where Ditio has built up its expertise over the past fifteen years.
Not in an ideal situation, but in projects where systems, processes, and information do not yet integrate seamlessly. In this context, Ditio has evolved from simply providing capacity to helping design systems, improve work processes, and support projects toward effective project management.
More than just capacity: a knowledge club
It’s not just about the content—it’s also about how we work together. Ditio is built as a community of people who share knowledge, support one another, and go the extra mile to truly move projects forward.
That combination of expertise and commitment makes all the difference in practice. Together, we achieve more than we ever could on our own!
Accelerate and make it predictable
The underlying principle is simple: project management should not only provide insight, but should also help accelerate projects and make them more predictable.
Not simply by collecting more data, but by translating that data into information that provides context. This creates a foundation for data-driven decision making.
Where Ditio helps today
Today, the focus is on deploying experienced professionals who help organizations take that next step—moving from disparate systems and reports to coherence, control, and direction. It is precisely in this transitional phase, where many organizations currently find themselves, that the greatest challenge—and the greatest opportunity—lies for making projects demonstrably better and more efficient. From waste to acceleration!
In conclusion: new opportunities raise new questions
Over the past fifteen years, project management has become much more sophisticated. At the same time, the work hasn’t gotten any easier.
Automation and artificial intelligence bring new possibilities, but also new questions. Ultimately, the goal remains the same: ensuring that projects have the right information to make good decisions.
So the question is not whether project management is changing, but how your organization adapts to these changes.
You don’t have to wait fifteen years to see what works. We’d be happy to show you how we don’t just keep up with the latest developments, but also put them into practice.
Are you curious to know where you stand and where the biggest opportunities lie? We’d be happy to help you figure it out.