Build a reliable foundation for reporting, daily operations and the use of AI. We will connect data from different systems, standardise its format and prepare it for further processing. We will handle migration and regular data transfer and set access permissions so the right information is available to the people who need it.
Relevant data from different systems can support defined workflows and decision-making.
Data quality and consistency can be addressed before information is used in AI initiatives.
Access management and data-security requirements are considered around the data and systems involved.
Data from different systems can be connected in relevant workflows.
Data quality and consistency can be addressed before AI use.
Data can be migrated to cloud and modern systems.
Access management reflects the data, roles and security requirements.
Data processes can support reporting, decision support and EDI.
Relevant information can be available across teams and workflows.
Monit supports migration of data to cloud and modern systems, helping companies modernize their environment while moving relevant business information from existing systems.
Data integration connects information from different sources so it can support business processes, collaboration and decision-making.
Data is reviewed and prepared to improve consistency and usefulness for AI initiatives, addressing inconsistent information between company systems.
The service can support big data, reporting, decision support and EDI-related data processes.
Review relevant data sources, systems, business processes and data-access requirements.
Define an appropriate approach to migration, integration, preparation, access management and security considerations.
Implement the selected data processes according to the project scope, systems and available interfaces.
Validate data quality and availability in operation, review access and make further adjustments based on user experience and business needs.
Together, we can identify relevant data sources and define the next steps.
Connecting ERP, CRM, accounting, production, warehouse and other relevant systems through available interfaces.
Preparing consistent business information for reporting, decision support and AI initiatives.
Data access, security and management requirements should be defined according to the data involved, connected systems and intended use.
Security requirements are considered when integrating, migrating and using business data. Access can be managed according to required roles and processes.
The hosting approach depends on the selected systems and project scope.
Relevant internal data sources can be connected where they support defined business processes, reporting or AI use cases.
Data can be migrated to cloud and modern systems as part of a broader modernization project.
Custom integrations can connect relevant ERP, CRM, accounting, production, warehouse and other business systems through available APIs or appropriate interfaces.
Company Data is a service for migrating, integrating and preparing business information for operational processes, reporting and AI. It helps organizations connect data sources, improve consistency between systems, support EDI processes and manage access to relevant information while considering data-security requirements.
It is for organizations that need to modernize data environments, connect fragmented systems, improve data consistency or prepare business information for reporting, automation and AI.
Monit assesses relevant data sources, systems and business requirements, then defines an appropriate approach to data migration, integration, preparation, access management and security considerations.
Implementation depends on data volumes, source systems, data quality, required integrations and the target environment. A specific timeframe depends on the project scope, integrations and existing systems.
Yes. Company data projects can connect relevant internal systems through available APIs or other suitable interfaces, including ERP, CRM, accounting, production and warehouse systems.
Yes. The scope is tailored to the company's data sources, target systems, business processes, AI requirements and access-management needs.
Yes. It can support manufacturing companies that need to integrate production, warehouse, ERP, EDI or other business data for reporting, operations or AI use cases.
Support arrangements depend on the agreed project scope, connected systems and operational requirements.
Yes. The service can support EDI-related data processes and EDI data processing as part of the agreed project scope.
Data security and access-management requirements are considered according to the data involved, connected systems, required roles, processes and intended use.
Yes. Data can be migrated to cloud and modern systems as part of a broader modernization project, according to the selected systems and project scope.