Every now and then, I encounter clients who don’t quite understand the logic that should drive a company’s digital strategy, and quite frequently we have to give a quick primer on the basic concepts of digital marketing before we can move on to the more serious part of the conversation.
The willingness to approach digital marketing purely as a matter of personal taste or client opinion privilege is a minor sin that reflects a lack of technological literacy and, naturally, also reflects amateurish management—which, in fact, explains the low business effectiveness the country suffers from.
A simple conversation about a new website for a company—whether due to the clear outdatedness of the online platform or the opportunity to test a transactional solution—usually gives way to an esoteric discussion based on obsolete assumptions, unrealistic goals, and general misunderstandings about what a business’s proper digital solution is and should be.
Digital transformation is a national emergency if we want to achieve more efficient, agile, and data-driven management. One of the fundamental concepts within this technological revolution is Twinning Digital Business Process (TDBP), which involves creating virtual replicas of business processes for optimization, monitoring, and continuous improvement.
The concept of the digital twin was initially applied in industry, particularly in manufacturing and engineering, to create faithful digital representations of physical products and systems. With the evolution of data technologies and the increasing complexity of business processes, the digital twin approach expanded into organizational management, giving rise to Twinning Digital Business Process.
What is Twinning
Twinning Digital Business Process refers to the creation of a dynamic virtual representation of a business process, allowing for real-time analysis, simulation, and optimization. Just as a physical twin replicates a tangible object or system, a digital twin of business processes simulates workflows, cross-departmental interactions, and task execution within an organization.
Implementing TDBP relies on technologies such as:
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Big Data and Predictive Analytics – For real-time data collection and analysis;
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Artificial Intelligence and Machine Learning – For process simulation and optimization;
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Internet of Things (IoT) – To interconnect devices and capture operational insights;
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Cloud Computing – To store and process large volumes of data;
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Blockchain – To ensure the security and integrity of digital processes.
This approach allows companies to test alternative scenarios, anticipate issues, and improve decision-making, making processes more efficient and resilient.
Key Benefits
Adopting Twinning Digital Business Process offers a wide range of benefits to organizations, from improving operational efficiency to creating new business models. Key benefits include:
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Optimization and operational efficiencyThrough continuous simulation of business processes, companies can identify bottlenecks, eliminate waste, and streamline workflows. This results in higher productivity and lower operational costs.
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Real-time monitoringThe ability to visualize processes in real time enables faster responses to problems and early detection of faults or inefficiencies.
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Continuous improvement and innovationTDBP enables testing new methods and approaches without the risk of disrupting actual operations. This fosters innovation and continuous refinement of business processes.
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Risk reduction and enhanced securityBy predicting potential failures and vulnerabilities, companies can implement mitigation strategies before problems occur. Additionally, integration with technologies like blockchain enhances process security.
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Data-driven decision-makingThe use of advanced analytics allows decisions to be grounded in concrete information, reducing subjectivity and increasing confidence in strategic choices.
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Personalization and improved customer experienceWith the ability to simulate and test different approaches, companies can tailor their services to better meet customer needs, delivering more personalized experiences.
Applications
The concept of Twinning Digital Business Process can be applied across various industries and business functions. Some key areas where this technology is widely used include:
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Supply chain managementLogistics and manufacturing companies use TDBP to optimize delivery routes, predict delays, and improve supply chain efficiency.
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Financial and banking sectorBanks and financial institutions employ digital twins to simulate and optimize credit processes, risk management, and customer service, ensuring greater operational efficiency and security.
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Healthcare and medical careHospitals and clinics use this technology to improve patient flow management, optimize resource allocation, and forecast medical intervention needs.
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Industry and manufacturingIndustry 4.0 already utilizes digital twins to simulate production processes, predict equipment failures, and minimize waste on assembly lines.
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Human resources and talent managementCompanies can use digital twins to analyze productivity patterns, predict training needs, and streamline talent recruitment and retention processes.
Implementation Challenges
Although the benefits are significant, implementing Twinning Digital Business Process comes with challenges that must be overcome to ensure success.
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Implementation complexity and costCreating a digital twin of business processes requires significant investment in technology, infrastructure, and specialized skills.
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Managing large data volumesThe success of TDBP depends on gathering and analyzing vast amounts of data. Efficiently managing this information requires robust storage and processing solutions.
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Interoperability and integrationCompanies operating legacy systems may struggle to integrate TDBP with existing platforms, requiring custom solutions to ensure compatibility.
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Security and privacyDigitally replicating business processes involves sensitive data that must be protected against cyber threats and privacy breaches.
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Cultural shift and organizational adaptationAdopting a digital-twin approach demands changes in organizational culture and upskilling teams to work with new tools and methodologies.
Ongoing technological advancements will further drive the adoption of Twinning Digital Business Process. With the evolution of artificial intelligence, machine learning, and cloud computing, the ability to build increasingly accurate and effective digital twins will grow exponentially.
Furthermore, integrating TDBP with emerging technologies like quantum computing and 5G networks is expected to accelerate the digital transformation of business processes even further.
A National Emergency
Companies that adopt this approach strategically will gain a significant competitive edge, allowing them to operate more efficiently, innovatively, and resiliently in an increasingly dynamic market.
However, for Portuguese companies, entrepreneurs, and managers to improve their digital marketing performance, it would suffice to simply understand the concept and stop wasting money on ill-conceived, poorly coded websites that serve no business purpose and ignore everything data could teach them about real customers.
The necessity of having digital customer-relationship platforms that are capable of—at the very least—not damaging the business by doing the exact opposite of what is recommended in a physical store should be self-evident, requiring no educational intervention prior to decision-making. This issue ought to be a national emergency, given the sheer primitiveness of Portuguese marketing practices.
Paulo Fidalgo
CEO of Marketividade
