Domain: Manufacturing
Question:
"It is considered that the use of digital transformation strategies in the manufacturing industry may be one of the goals to stay competitive and maintain success. Veronesi (2021) argues that the adoption of new technologies, namely, cloud computing, big data analytics, and AI, allows manufacturers to develop intelligent, connected, and secure environments of information. Nevertheless, most organizations are struggling to coordinate business and have issues with adopting new service models such as predictive maintenance and result-oriented business models (ManufacturingTomorrow, 2025). 
 
 According to the paper, what principal advantages and adverse factors can digitalization and harmonization of business process in which manufacturer are involved in cause? Which are the roles of advanced analytics and secure information architectures in facilitating the improvement of processes and new business models related to the manufacturing industry?" Along with the uploaded documents, you can also use the following web resources:
https://www.realvnc.com/en/blog/digital-transformation-in-manufacturing/
https://www.businessinsider.com/artificial-intelligence-robotics-predictive-maintenance-manufacturing-factory-solutions-2025-5
https://www.industryweek.com/technology-and-iiot/emerging-technologies/article/55308070/what-is-edge-ai-and-how-useful-is-it-for-manufacturing
https://www.infosysbpm.com/blogs/manufacturing/cybersecurity-in-the-digital-factory-for-manufacturers.html
https://www.manufacturingtomorrow.com/story/2025/06/from-legacy-to-leading-how-manufacturers-can-bridge-the-integration-gap/25156

Do not generate any output files - just provide the response directly here.

Expected points in a correct answer:
Identify the source report as: Veronesi, L. (2021). Digital transformation in manufacturing: Creating an intelligent, connected and secure information advantage.
State that Veronesi (2021) argues that digital transformation in manufacturing is centered on achieving an intelligent information advantage.
State that Veronesi (2021) argues that digital transformation in manufacturing is centered on achieving a connected information advantage.
State that Veronesi (2021) argues that digital transformation in manufacturing is centered on achieving a secure information advantage.
State that digital transformation enables outcome-based business models.
State that advanced analytics allow manufacturers to understand equipment health in real time.
State that cybersecurity becomes a direct business concern as digitalization increases.
State that secure information architectures are foundational to digital transformation.
State that enabling the demolition of operational data silos is a principal advantage of digital transformation.
State that digital transformation enables predictive maintenance.
State that enterprise information management enables securing of information.
State that cybersecurity has direct business impact.
State that creation of a safe information structure is crucial.
State that enabling the demolition of business data silos is a principal advantage of digital transformation.
State that digitalization and harmonization of business processes produce identifiable challenges.
State that digitalization and harmonization of business processes produce significant advantages.
State that resistance to organizational change is a barrier.
State that integrating new digital platforms may require change management investment.
State that cloud computing enables new manufacturing services.
State that IoT enables new manufacturing services.
State that most business applications were designed to manage isolated silos of information.
State that isolated applications lack the ability to seamlessly hand data to other processes.
State that AI-assisted analytics enable new manufacturing services.
State that big data enables new manufacturing services.
State that AI processes information in high volume.
State that AI processes information in high variety.
State that AI processes information in high velocity.
State that equipment downtime is viewed as a major security risk.
State that enterprise information management enables capture of information.
State that the end-to-end view of operations is achieved in real time.
State that manufacturers face workforce disruption as an adverse factor.
State that manufacturers face heightened security risks as an adverse factor.
State that digital transformation introduces changes to business processes.
State that operational loss is viewed as a major security risk.
State that loss of intellectual property is viewed as a major security risk.
State that digital transformation introduces changes to workforce skills.
State that many manufacturers operate with a segregated IT/OT model.
State that digital transformation introduces changes to organizational roles.
State that isolated applications lack the ability to seamlessly hand data to other systems.
State that IoT-enabled sensor-driven manufacturing supports real-time visibility.
State that manufacturers face information silos as an adverse factor.
State that enterprise information management enables exchange of information.
State that data quality remains a major issue.
State that data interoperability across systems remains a major issue.
State that manufacturers face IT/OT fragmentation as an adverse factor.
State that enterprise information management enables governance of information.
State that integrating new digital platforms may require technology investment.
State that bringing new digital platforms into legacy systems may be expensive.
State that manufacturers can analyze performance in real time.
State that manufacturers can track assets in real time.
State that blockchain architectures enable new manufacturing services.
State that manufacturing value chains increasingly operate as ecosystem networks.
State that manufacturers can monitor operational conditions in real time.
State that manual processes are error-prone.
State that each facility makes independent technology decisions.
State that integration with corporate systems is limited.
State that bringing new digital platforms into legacy systems may be cumbersome.
State that the sensitivity of data exposed by manufacturers continues to grow.
State that analytics support cognitive quality.
State that integration with corporate systems is asynchronous.
State that manufacturers are transforming traditional information environments.
State that enterprise information management enables enhancement of information.
State that manufacturers are transforming traditional information environments by using digital technologies.
State that the amount of data exposed by manufacturers continues to grow.
State that manually integrating data streams into a unified view requires humans to interpret data in real time.
State that the field of digital transformation signifies a competence that is fast evolving.
State that enterprise information management applies across unstructured data.
State that enterprise information management applies across structured data.
State that new business models depend on integrated information.
State that increased exposure of data makes cybersecurity a high priority.
State that enterprise information management forms the foundation for scalability.
State that secure information architectures enable secure operations.
State that secure information architectures enable digital transformation at scale.
State that advanced analytics cannot scale safely without secure architectures.
State that secure information architectures enable reliable operations.
State that new business models cannot scale safely without secure architectures.
State that information fuels every business process across the enterprise.
State that real-time visibility supports continuous improvement.
State that digitizing business operations enables end-to-end harmonization.
State that new business models do not depend on isolated system improvements.
State that real-time visibility enables faster responses to operational issues.
State that fragmented information reduces information quality.
State that fragmented governance creates coordination challenges.
State that fragmented information slows digital transformation.
State that enterprise information management supports real-time visibility.
State that decision automation enables scalable operational decisions.
State that analytics are augmented by data from ubiquitous sensors.
State that analytics improve demand planning.
State that analytics enable prediction of machine failures.
State that unmanaged disruption leads to delays.
State that enterprise information management supports compliance requirements.
State that analytics automate decision-making across operations.
State that outcome-based business models are enabled by integrated information.
State that intelligent predictive maintenance is enabled by integrated information.
State that fragmented governance delays adoption of advanced digital services.
State that as-a-service offerings are enabled by integrated information.
State that digitalization and harmonization enable ecosystem integration.
State that digitalization and harmonization offer improved operational efficiency.
State that secure architectures protect intellectual property.
State that flexible decision-making allows companies to react fast to changes in the market.
State that combining production data with supply chain data improves forecasting of demand.
State that combining production data with supply chain data improves inventory cost management.
State that inefficiencies can be identified before they grow into a bigger problem.
State that advanced analytics allow manufacturers to pre-empt failures.
State that predictive maintenance decreases unscheduled breakdowns.
State that cloud computing helps manufacturers digitally integrate with more advanced systems.
State that the field of digital transformation is becoming a keystone of competitive advantage in the manufacturing industry.
State that organizations are forced to reconsider how they integrate technology data of the business.
State that organizations are forced to reconsider how they integrate technology data of operations.
State that organizations are forced to reconsider how they advance operations.
State that organizations are forced to reconsider how they create new business forms.
State that integrating data streams in a harmonized and digital fashion allows manufacturers to gain an end-to-end view of operations.
State that digital integration with more advanced systems improves the level of efficiency in operations.
State that predictive maintenance increases asset life.
State that predictive maintenance reduces maintenance expenses.
State that rapid technological development requires constant workforce training.
State that secure architectures protect operations.
State that analytics support outcome-based business models.
State that advanced analytics provide intelligence for process improvement.
State that advanced analytics unlock new business models.
State that enterprise information management supports governance requirements.
State that analytics support service-oriented business models.
State that enterprise information management enables transparent data exchange.
State that analytics improve forecasting accuracy.
State that analytics enable detection of hidden quality issues before they occur.
State that workforce skill improvement is required to keep employee skills relevant.
State that combining production data with sales data improves forecasting of demand.
State that anticipating failures allows creation of a dedicated series of maintenance activities.
State that integrating information across manufacturing improves business operations.
State that integrating information across logistics improves business operations.
State that harmonized information improves customer experience across the ecosystem.
State that close engagement with customers depends on data sharing.
State that close engagement with suppliers depends on data sharing.
State that reduced reliance on fragmented applications improves decision-making.
State that analytics enable optimization of service execution.
State that analytics enable right-sizing of inventory.
State that integrating information across supplier engagement improves business operations.
State that integrating information across asset management improves business operations.
State that reduced reliance on manual processes improves productivity.
State that analytics improve asset uptime.
State that analytics improve asset availability.
State that enterprise performance dashboards enable process improvement.
State that data exploration enables investigation of operational issues.
State that reacting fast to changes in the market includes determining where inefficiencies are emerging.
State that reacting fast to changes in the market includes better allocation of resources.
State that integrating information across finance improves business operations.
State that integrating information across sales improves business operations.
State that manufacturers must address identity and access management.
State that manufacturers must address OT security.
State that manufacturers must address cloud security.
State that manufacturers must address data loss prevention.
State that manufacturers must address security governance.
State that data quality issues must be governed through well-defined governance frameworks.
State that data quality issues must be governed through active leadership.
State that data quality issues must be planned through clear strategies.
State that manufacturers must continuously improve workforce skills.
State that advanced analytics act as the "brain" of the digital manufacturing enterprise.
State that enterprise information management acts as the information highway between OT and IT.