Organizations face 2026 with a structural business challenge: transform the growing volume of information they generate into a real lever of business competitiveness. After years of investment in digitalization, the focus shifts from data capture and storage to its integration, quality and activation in business processes and business strategy.
According to the analysis of the technology multinational Stratesys, the combination of integrated information, artificial intelligence and advanced governance models will make the difference between companies capable of scaling their business operational efficiency and those that fail to extract business value from their own systems.
“Organizations have made progress in digitalization, but many still do not convert their information into effective business-level decisions. The key now is to integrate, govern and activate that information within the business,” says Luis Fernández-Sanguino, managing partner of the Content Driven area at Stratesys.
The business challenge is knowing how to use data
During the last decades, companies have deployed multiple systems (ERP, CRM or document platforms) that have generated large volumes of information, in many cases fragmented and difficult to exploit in a business environment.
Currently, more than 60% of business information remains underutilized in disconnected repositories, limiting its real impact on business decision-making and reducing the return on technology investments from a business perspective.
In this context, the challenge for organizations is not to generate more data, but to be able to use it in an integrated way and aligned with business processes and business objectives.
AI and integration: the leap to operational efficiency
The evolution towards unified information models, where structured data and content converge in the same environment, is making it possible to eliminate silos and facilitate the use of information in real time within the business ecosystem.
On this basis, artificial intelligence is accelerating the automation of information-intensive processes, from document management to data analysis, with a direct impact on business efficiency and productivity.
“The integration between data and content is what allows the use of artificial intelligence to scale and transfer its impact to the business and business results,” explains Fernández-Sanguino.
However, this potential depends on a key factor: the quality of the information. “Artificial intelligence only generates value when it is supported by reliable and well-governed information. Without that basis, the risk of amplifying errors in the business environment is high,” he adds.
Governance and operating model as the basis of competitiveness
In this context, information governance ceases to be a technical initiative and becomes a strategic business priority.
Organizations are evolving towards broader information governance models, capable of ensuring quality, traceability and security, while integrating information directly into enterprise business processes.
This change allows us to move from storage-centric models to process-oriented architectures, where information acts as a key operational asset for business development.
Artificial intelligence is accelerating the automation of information-intensive processes
“The competitive advantage is no longer in having more technology, but in how information is managed within the business and how it is converted into business decisions,” concludes Fernández-Sanguino.
Stratesys accompanies organizations in this process, helping them define and implement information management models that integrate data and content, establish solid governance frameworks, and enable the value of artificial intelligence to be activated in their operations. Through a business-oriented approach, the company promotes the transformation of information into a strategic asset capable of improving efficiency, optimizing business decision-making and generating sustainable competitive advantages in the business environment.
