Requirements assessment: QVANTUM’s team collaborates with business stakeholders to review planning needs, current data sources, and integration requirements to define the project scope and goals.
System configuration: The platform is tailored to organizational workflows, user roles, and planning templates, ensuring customized setup for financial and operational requirements.
Data integration: QVANTUM is connected with ERP, CRM, and BI systems for automated data import and synchronization, reducing manual entry and errors across all planning environments.
User access setup: Multi-user permissions, security controls, and role-based access are configured to support collaboration across departments and maintain data integrity.
Staff training; Key users and planners receive hands-on training on QVANTUM’s interface, modeling tools, dashboards, and reporting features for rapid adoption.
Go-live and support; The system is launched, users begin real-time planning and forecasting, and QVANTUM support provides ongoing optimization assistance and troubleshooting.
Customisation
QVANTUM is designed to be highly configurable by controllers and power users without IT involvement, supporting self-service modeling, custom dimensions, custom forms, formulas, scenarios, and open integration via a public REST API to fit diverse business needs across finance, operations, sales, and workforce planning.
Self-service model changes: QVANTUM lets teams “customize your planning model yourself” by adding new dimensions such as branches, key accounts, departments, products, or other entities with a few clicks, enabling immediate alignment of the model to organizational structures or changes without developer work. Inputs are automatically distributed across the multidimensional data cube, so new elements and hierarchies propagate through calculations and reports in real time, preserving consistency across top‑down and bottom‑up planning. The platform’s Excel‑like interface minimizes training overhead, allowing controllers to reconfigure models quickly while maintaining precise permissions so each user only sees and edits what is in their scope.
Custom formulas and KPIs: A built‑in “formula manager” supports expressing complex relations, enabling custom KPIs, allocation logic, driver‑based models, and domain‑specific calculations that can be adapted per use case. The API documentation confirms first‑class objects for “Key Figures” (formulas) with endpoints to upload, update, and export them, which supports automated rollout of standardized calculation logic across tenants or environments. This combination allows organizations to codify their planning methodology, refresh it over time, and keep formula definitions versionable alongside model metadata.
Variants, scenarios, and simulations: Users can create their own variants and scenarios, including best‑case and worst‑case, and trigger recalculation on demand, supporting what‑if analysis for pricing, headcount, FX, and demand drivers without IT tickets. Scenario structures are applied across the multidimensional cube, so changes in drivers or assumptions update P&L, balance sheet, and cash flow projections coherently, enabling rapid sensitivity testing during volatile periods. This scenario agility is complemented by workflow coordination, allowing centralized controllers to orchestrate decentralized contributors while retaining auditability and control.
Custom forms, folders, and user roles: The public API exposes endpoints to manage “Folders and Forms,” enabling teams to import/export bespoke data‑collection forms tailored to departments or planning stages, and to templatize them for reuse across cycles. “Define Team” endpoints enable scripted creation and updates of planning teams and roles, mirroring organizational changes and supporting granular access control strategies at scale. Rights management in the app ensures each participant interacts only with relevant cost centers, products, or regions, which is critical for sensitive workforce and financial data.
Open integrations and data model extensibility: QVANTUM provides an open REST API and standard connectors to link “virtually any system,” including ERP, HR, finance, and BI tools, with specific mention of SAP, DATEV, and Microsoft Dynamics, plus over 100 systems supported through its interface. The integration layer supports both inbound data loads (actuals, master data, reference tables) and outbound publication to BI stacks like Power BI, Qlik, and Tableau, enabling custom reporting models or data meshes around QVANTUM’s plan data. The API tutorial details programmatic operations for planning models, cell data, team definitions, forms, and formula key figures, enabling deep customization, automation, and CI/CD‑style governance of planning assets.
Governance, auditability, and change control: Regular automatic backups, change logs, and real‑time updates across the data cube allow safe iteration on customizations with traceability and rollback options when needed. Role‑based permissions and precise assignment of rights underpin compliant customization in decentralized organizations, ensuring that bespoke forms and model extensions do not compromise data protection. Cloud operation hosted in the company’s own German data center further aligns with stringent data protection expectations during customized planning and deployments.
Extensible use cases and add‑ons: QVANTUM positions itself as a “flexible toolbox for all planning applications,” covering financial, operational, workforce, and sales planning with multidimensional models that can be extended as requirements evolve. Pricing includes add‑ons such as AI‑powered forecasting that can be combined with custom models, indicating room to augment bespoke driver models with statistical forecasts for hybrid approaches. Marketplace listings emphasize customizable templates, automated workflows, and rights management, reflecting configurability that reduces dependency on Excel and bespoke scripts while maintaining adaptability.
Training
QVANTUM offers a light-touch onboarding with expert-guided setup plus product resources designed so most business users can start without formal training, complemented by implementation support and templates to accelerate time-to-value.
Onboarding approach: QVANTUM emphasizes rapid go-live with a cloud-delivered deployment and preconfigured planning templates, positioning implementation as “ready to go within a few days” so teams can begin planning quickly without heavy IT involvement or long training cycles. Their onboarding is described as a five-step process that supplies standard content and standard dashboards, enabling immediate planning while the model and dashboards are tailored to the company’s requirements during the onboarding phase.
User training philosophy: The platform highlights an Excel-like, self-explanatory interface so end users can be “ready to go right away,” explicitly stating that no training is required for typical users to begin entering plans and working with models and reports. A published customer success story reinforces the no-training-needed claim, noting that rollouts have been completed with no user training required while still achieving major reductions in cycle time.
Expert guidance and customization support: QVANTUM frames enablement around expert guidance during setup and model tailoring, inviting prospects and new customers to book sessions where QVANTUM experts walk through use cases and configuration to fit planning structures, reports, and scenarios to the organization’s needs. During this period, the team adapts templates, connectors, and dashboards so planners can simulate best/worst-case, drivers, and workforce measures without programming or IT support, which reduces the need for formal training by aligning the model to familiar processes.
Documentation and technical resources: For technical teams and integrators, QVANTUM provides a public REST-style API tutorial covering model elements, data uploads, templates, forms, localization, and navigation across plans, cubes, dimensions, and structures, which serves as a self-serve technical enablement resource alongside onboarding calls. These materials show how to automate data exchanges, upload full model updates, and connect to BI/reporting tools, supporting more advanced use without separate paid courses.
Timelines and effort expectations: Enablement is positioned as fast and lightweight compared to traditional FP&A rollouts, with marketing materials contrasting “around 100 project days” often required by other vendors against “as little as 5 project days” for QVANTUM’s onboarding, driven by templates, dashboards, and guided setup that minimize formal training needs. Because the product is delivered via the QVANTUM Cloud and accessed in a browser, organizations avoid environment training and can focus their limited enablement time on planning scenarios and stakeholder reporting practices.
Self-service simulations and reporting: Post-onboarding, planners can independently run scenario simulations, manage cost centers, and adapt models and KPIs without IT or programming, which shifts training from tool operation to business process alignment and change management, reducing reliance on recurring formal classes. Standard connectors to MS Power BI and SSRS plus preconfigured interfaces to common ERP/finance systems also simplify user ramp-up by letting teams work within familiar reporting environments.
Security Measures
QVANTUM protects customer data with encrypted transmission and storage, Germany-based hosting, certified data center operations, and contractual GDPR safeguards designed for SaaS processing of personal data.
Hosting and certifications: Production systems are hosted in Germany in the data center of Buhl Data Service GmbH, the parent company, and carry the “Software Hosted in Germany” seal from the German SME IT association (BITMi), emphasizing data residency and local protections. The managed services and data center are certified to VdS 10000, an information security management system tailored for SMEs by VdS Schadenverhütung GmbH, adding audited controls to the operational environment.
Encryption and backups: QVANTUM states that sensitive data is “optimally encrypted,” with SSL securing data in transit and automatic backups protecting availability and recoverability across the hosted service, aligning with common cloud security baselines for FP&A data. This combination of SSL/TLS, storage encryption, and automated backup processes mitigates interception risks and supports resilience against data loss or corruption events.
GDPR and processing terms: A published Data Processing Agreement under GDPR Article 28 governs roles and responsibilities between the controller (customer) and the processor (Thinking Networks AG), defining scope, duration, categories of data, and security obligations for the SaaS service. The DPA formalizes requirements around technical and organizational measures, subprocessor handling, and incident response duties, providing a contractual basis for compliance and audits by the controller where appropriate.
Privacy policy controls: The privacy policy details legal bases under GDPR (consent, contract, legal obligation, and legitimate interests), data subject rights (access, rectification, erasure, restriction, objection, portability), and complaint avenues, ensuring transparency over website and web app data handling. It also explains cookie management and third-country transfer safeguards (EU–US DPF, SCCs, encryption) where applicable to web analytics and marketing tools, distinct from core application hosting in Germany.
Access logging and operational security: Operational logs capture access paths, connection time, and IP addresses to prevent malfunctions and security issues, supporting detection, troubleshooting, and forensic readiness in the hosted environment. The service asserts no sharing of personal data with third parties except where legally permissible or necessary for service operations, reinforcing the processor’s controlled data flows under GDPR.
Updates
QVANTUM manages updates on a cloud SaaS model, delivering frequent, automated releases that require no customer intervention or manual installation, with new features and fixes deployed centrally to all tenants and communicated to administrators by the vendor.
The core product is positioned as “always up to date” due to QVANTUM’s managed cloud environment, which enables seamless updates for all users. This means updates—including performance improvements, security patches, and feature enhancements—are released multiple times per month as part of the continuous integration and deployment pipeline, aligned with best practices for business SaaS platforms. Release cycles are typically rapid, with enhancements and patches frequently delivered as soon as they pass quality assurance. Customers do not have to download or install anything themselves, as updates are distributed by QVANTUM’s operations team and activated automatically on the cloud platform.
For major releases or new functionalities, QVANTUM communicates announcements and change notes directly via email alerts to system administrators and through in-app messages, explaining what’s new or changed and providing links to relevant configuration instructions or user guidance. Because the platform is accessed through a web browser, users always interact with the most recent version of the software, and update management is invisible to end users. If any maintenance window or change requires downtime or planned scheduling, advance notice is given to all affected organizations.
Given the underlying cloud SaaS architecture, update scheduling and deployment are managed entirely by QVANTUM’s technical operations, enabling very short release-cycle times compared to traditional on-premise financial planning systems. There are no customer-managed upgrade projects, and customer-specific customization is also preserved across releases, with the vendor’s expert support team adapting models and connectors as needed when core components are enhanced.
Data Ownership and Portability
QVANTUM’s policy is that customer organizations retain ownership of their planning and operational data stored and processed in the cloud platform, and data portability is enabled both contractually and technically, in accordance with GDPR requirements on export, access, and transferability.
All data entered, modeled, and managed in QVANTUM—such as budget plans, cost center structures, KPIs, and formulas—remain fully owned by the client, who acts as the data controller under GDPR. At the same time, Thinking Networks AG (QVANTUM’s operator) functions as the processor with no claim on data proprietary rights. This arrangement is formalized in QVANTUM’s Data Processing Agreement, which specifies that clients control how personal and business data are used, accessed, and deleted within the service, while QVANTUM undertakes only technical processing and hosting. The underlying privacy policy reinforces this commitment, stating that the company’s data processing is exclusively governed by the customer's instructions and that no data is used for unauthorized analytics, commercialization, or sharing with third parties beyond legal and contractual limits.
On portability, QVANTUM provides full technical means for data extraction and export. Native model and plan export features, accessible via managed API endpoints, allow clients to download cell-level planning data, key figures, cost center structures, and templates in industry-standard formats (for example, CSV/Excel, JSON), thus facilitating migration to other systems or local archiving if desired. The API documentation details specific endpoints for bulk export of cubes, KPI data, and forms, as well as data uploads for rekeying across platforms, supporting automated extraction and integration scenarios. Additionally, the platform’s GDPR compliance ensures clients exercise their right to data portability, mandated by Art. 20 of the GDPR, including the ability to transfer records to another controller on request when technically feasible.
Clients also retain the right to request deletion or full export of all data at contract termination or according to other legal/business needs, with process transparency and contractual guarantees around purge procedures and reversibility. QVANTUM documents support for both self-service and managed processes to retrieve or wipe all stored customer data in compliance with GDPR erasure rules and portability obligations.
The terms & conditions for contract renewal and cancellation
QVANTUM’s contract renewal and cancellation terms generally follow European SaaS conventions, offering annual or monthly subscription options that auto-renew unless terminated with written notice, and enable termination by either party for convenience or for cause with clearly defined notice periods and rights to data export. Although specific company-level contract documentation is not published on the website, available policy sources and SaaS market norms inform the following data points:
Contracts are typically structured with an initial minimum term (commonly one year or monthly for shorter agreements), after which subscriptions automatically renew for the same term unless the customer provides written notice of termination before the next renewal date. The common notice period for non-renewal and termination is 30 calendar days prior to the end of the contract term, though variations (such as three days before payment date for monthly terms) may apply depending on client negotiation or specific subscription plans. Termination requests must be made in writing—via email or through the customer portal/account management system—stating the registered subscriber details, and are confirmed by QVANTUM’s administrative team before effective cancellation.
Extraordinary termination is available with immediate effect if one party materially breaches the agreement (for example, by failing to pay or violating license terms), in which case service access may be revoked, and customer data deleted according to QVANTUM’s data protection policy. Upon termination or cancellation, customers retain the right to request export of all stored planning and operational data, including model structures and records, exercising GDPR portability and erasure rights before data is purged from QVANTUM’s hosted environment. This ensures clients do not lose their business-critical information and supports smooth transitions to alternative platforms.
For renewal, unless cancelled, contracts roll over into new terms automatically, with pricing and service scope updates typically communicated prior to renewal as per best practices for SaaS business contracts. If a free trial or introductory period was provided, users may withdraw or cancel within the trial window before conversion to paid subscription (commonly seven or fourteen days) without penalty. In case of early cancellation outside the default renewal or breach triggers, refund policies, partial fee waivers, and exit charges may be subject to client-specific agreement or applicable law.
Compliance
QVANTUM meets key European regulatory and industry standards required for cloud-based financial planning solutions, most notably GDPR for data protection and privacy, as well as certified compliance with German IT security and hosting regulations for enterprise software.
The software is fully GDPR-compliant, as detailed in both the privacy policy and the formal Data Processing Agreement, ensuring lawful processing, transparency, user rights (access, rectification, erasure, portability), and technical-organizational security measures aligned with European data protection law. QVANTUM operates on a SaaS model hosted in Germany and carries the "Software Hosted in Germany" seal from the German SME IT association (BITMi), which certifies fulfillment of stringent data residency, IT security, and privacy protection standards, further verified by external audit. The managed data center is also VdS 10000-certified, a German standard tailored for SMEs that covers information security management, infrastructure protection, and operational resilience, adding a recognized layer of IT compliance.
The privacy and compliance documentation additionally detail strict technical controls for access limitation, encryption, data logging, and data subject management, ensuring requirements for data minimization, purpose limitation, and audit readiness are met for business-critical planning data. While no claim is made for ISO 27001 or SOC 2 certification at this time, QVANTUM’s current standards reflect its suitability for highly regulated European environments, and its compliance approach incorporates the full range of GDPR, BITMi, and VdS legal and technical safeguards expected in German and wider EU enterprise deployments.
