FAQ

Intelligenthive® offers several delivery models, each with a form of managed service that fits the maturity of your data environment.

• Proof of Concept
  For organizations that want to get started with the Intelligenthive®. We test the full data journey and deliver the first data product. Ideal to validate value, feasibility and collaboration before scaling up.
• Production – Supported
  Your internal data team works closely with the Beeminds Managed Services Team. We monitor the data environment, identify issues and support optimization, while direction and knowledge remain within the organization.
• Production – Fully Managed
  The Beeminds Managed Services Team monitors and manages the entire data environment and provides all necessary Data Engineering services. This model completely unburdens and ensures continuity, stability and scalability.
• Business Critical (24×7)
  For business critical environments, our Managed Services Team monitors the entire data environment 24×7. Incidents are actively monitored, resolved and reported, in close consultation with the internal management team. Maximum reliability, minimum disruption.

In all cases, the same premise is central: a sustainable, scalable and reliable foundation for Financial Group Reporting, not a temporary project.

For organizations with multiple entities, the complexity is not just in data, but in coherence and consistency. Intelligenthive® makes that consistency explicit.

Benefits include:

• Consistent reporting across all entities
• Faster consolidation and closure
• Understanding performance by entity as well as at the group level
• Easier addition of new subsidiaries
• Better management of compliance and audit requirements

This grows the organization without making the reporting process exponentially more complex.

Finance teams need speed, reliability and traceability. The Intelligenthive® is designed to ensure just that.

The platform:

• Automates data collection and validates
• Secures definitions, consolidation rules and audit trails
• Reduces manual work and correction rounds
• Gives finance more time for analysis and direction

The result is a predictable, auditable reporting process in which finance keeps direction, rather than putting out fires at the end of each month.

Financial Group Reporting is the structured aggregation, control and analysis of financial data from multiple entities within a single organization. Consider consolidation, intercompany eliminations, currency translation and consistent KPI definitions.

The Intelligenthive® supports this by acting as the central foundation of the reporting process. All financial data is unambiguously accessed, validated and enriched according to defined business and consolidation rules. This creates one reliable starting point for reporting, analysis and decision-making, without Excel dependency or manual corrections.

Intelligenthive® offers several delivery models, each with a form of managed service that fits the maturity of your data environment.

• Proof of Concept
  For organizations that want to get started with the Intelligenthive®. We test the full data journey and deliver the first data product. Ideal to validate value, feasibility and collaboration before scaling up.
• Production – Supported
  Your internal data team works closely with the Beeminds Managed Services Team. We monitor the data environment, identify issues and support optimization, while direction and knowledge remain within the organization.
• Production – Fully Managed
  The Beeminds Managed Services Team monitors and manages the entire data environment and provides all necessary Data Engineering services. This model completely unburdens and ensures continuity, stability and scalability.
• Business Critical (24×7)
  For business critical environments, our Managed Services Team monitors the entire data environment 24×7. Incidents are actively monitored, resolved and reported, in close consultation with the internal management team. Maximum reliability, minimum disruption.

In all cases, the same premise is central: a sustainable, scalable and reliable foundation for ESG reporting, not a temporary project.

ESG-Reporting with the Intelligenthive® shifts ESG from an obligation to a strategic tool to drive sustainability.

Key advantages:

• One central ESG data model instead of fragmented Excel statements
• Reliable, traceable ESG figures ready for audit and CSRD
• Better understanding of progress, risks and opportunities for improvement
• Easier to scale up and adapt as legislation changes
• Increased stakeholder confidence through consistent and substantiated reporting

In short: less ad hoc collection, more structural improvement.

Impact reporting requires more than collecting numbers. It’s about understanding what policies, choices and activities actually bring about. The Intelligenthive® supports impact reporting by:

• Link ESG data to operational and financial data
• Understanding developments and trends over time
• Make assumptions, definitions and measurement methods explicit
• Ensure transparency and consistency for internal and external accountability

This creates not just reporting, but management information with which your organization can make well-founded adjustments to its ESG ambitions.

ESG-Reporting is about the structural measurement, monitoring and reporting of Environmental, Social & Governance (ESG) performance. Consider carbon emissions, water consumption, waste, diversity, supply chain responsibility and governance indicators, increasingly in the context of CSRD and other reporting requirements.

Intelligenthive® supports ESG-Reporting by unlocking, structuring and enriching ESG data from multiple sources inside and outside the organization. The platform ensures consistent definitions, validatable calculations and full traceability. Thus, ESG information becomes as reliable and manageable as financial data.

Intelligenthive® offers several delivery models, each with a form of managed service that fits the maturity of your data environment.

• Proof of Concept
  For organizations that want to get started with the Intelligenthive®. We test the full data journey and deliver the first data product. Ideal to validate value, feasibility and collaboration before scaling up.
• Production – Supported
  Your internal data team works closely with the Beeminds Managed Services Team. We monitor the data environment, identify issues and support optimization, while direction and knowledge remain within the organization.
• Production – Fully Managed
  The Beeminds Managed Services Team monitors and manages the entire data environment and provides all necessary Data Engineering services. This model completely unburdens and ensures continuity, stability and scalability.
• Business Critical (24×7)
  For business critical environments, our Managed Services Team monitors the entire data environment 24×7. Incidents are actively monitored, resolved and reported, in close consultation with the internal management team. Maximum reliability, minimum disruption.

In all cases, the same premise is central: a sustainable, scalable and reliable foundation for deployment in support of CWYD within your organization.

Without unambiguous definitions, good data quality and clear governance, Chat With Your Data can provide answers that are incorrect or incomplete. Beeminds’ Intelligenthive® prevents this with a mature data foundation that meets the latest standards and values in Governance and Data Quality.

AI agents always work with validated data, defined business logic and clear authorizations. The origin, use and explanation of data are guaranteed, so that outcomes remain predictable and can also be explained towards audit and compliance.

It delivers flexibility and rapid insight without the complex change processes required when maintaining reports and insights. By integrating into our Intelligenthive®, it runs on a mature data foundation that meets the latest standards and values in Governance and Data Quality.

Sure. Together with Microsoft, Beeminds offers a series of In a day workshops. In the Chat with your data in a day workshop, we start with one domain or use case that delivers immediate value, such as finance or operations. From there, Chat with your data can easily be extended with new data sources, queries and AI agents.

Yes, answers contain traceable “evidence” to data sources, definitions and rules used. This makes it possible to verify, explain and justify analyses to management, auditors or regulators.

Chat With Your Data respects existing rights and roles. Users only see data for which they are authorized. AI agents follow the same access rules as humans, defined within your data platform.

Chat With Your Data supports employees in analysis, decision preparation and possible forecasting. Think of questions about performance, deviations, trends or exceptions. The system does not take over decisions, but helps people make faster and more informed choices.

Unlike reports, Chat With Your Data can also facilitate ad hoc queries, without lengthy technical change processes required to modify reports or dashboards.

AI agents are software components that perform analysis, recognize signals or prepare actions independently or together with humans. They work continuously and purposefully, based on data, defined rules and context. Within Chat With Your Data, agents ensure that questions are not only answered, but also properly interpreted and verified.

We apply honesty and transparency guidelines, audit data sources and design Agents for explainability and privacy. Like all data products delivered through the Intelligenthive, secure use of organizational data by Agents is ensured through role-based access and data security guidelines.

Traditional automation follows predefined rules and logic, suitable for repetitive tasks without much customization. AI Agents combined with Intelligenthive, on the other hand, use validated data and context. Such Agents learn, over time, based on your own data. As a result, they support faster, context-aware decision-making and more flexible business operations.

Use cases such as chatting with your own data for customer service automation, product recommendations and churn prediction typically deliver measurable results quickly. Which use case delivers the most return depends on the specific practice situation.

AI improves efficiency, supports decision-making, makes customer experiences more personal and makes new business models accessible.

AI agents are software components that perform analysis, recognize signals or prepare actions independently or together with humans. They work continuously and purposefully, based on data, defined rules and context. Within Chat With Your Data, agents ensure that questions are not only answered, but also properly interpreted and verified.

Intelligenthive® offers several delivery models, each with a form of managed service that fits the maturity of your data environment.

• Proof of Concept
  For organizations that want to get started with the Intelligenthive®. We test the full data journey and deliver the first data product. Ideal to validate value, feasibility and collaboration before scaling up.
• Production – Supported
  Your internal data team works closely with the Beeminds Managed Services Team. We monitor the data environment, identify issues and support optimization, while direction and knowledge remain within the organization.
• Production – Fully Managed
  The Beeminds Managed Services Team monitors and manages the entire data environment and provides all necessary Data Engineering services. This model completely unburdens and ensures continuity, stability and scalability.
• Business Critical (24×7)
  For business critical environments, our Managed Services Team monitors the entire data environment 24×7. Incidents are actively monitored, resolved and reported, in close consultation with the internal management team. Maximum reliability, minimum disruption.

In all cases, the same premise is central: a sustainable, scalable and reliable foundation for deployment of AI Agents within your organization.

AI Agents deliver real value only when they use the right data and are deployed within clear boundaries and responsibilities.

In combination with the Intelligenthive®:

• Support AI-Agents staff in analysis, decision preparation and monitoring
• Automate repetitive or complex tasks based on reliable data
• Enhance rather than replace human decision-making
• Work consistently according to established definitions, rules and authorizations

This creates a collaboration between humans and AI in which speed increases, errors decrease and trust is maintained.

AI-Agents are autonomous or semi-autonomous software applications that autonomously perform tasks, prepare decisions or initiate actions based on data, rules and context. Unlike traditional AI applications, AI-Agents work continuously, purposefully and often in collaboration with other agents or humans.

Intelligenthive® supports successful implementation of Agentic AI by ensuring a reliable, controlled and explainable foundation. The platform ensures that AI-Agents work with validated data, established business logic and clear frameworks. As a result, AI-Agents do not become a black box, but a controllable part of the organization.

Yes, absolutely. We guide you through a proven migration approach where smart AI assistants take over the heavy lifting. From analyzing existing data models to automatically translating legacy SQL. The focus is not on technology for technology’s sake, but on what it delivers: faster insights, lower management burdens and an AI foundation that is ready for the future. Whether you’re coming from an on-premise warehouse, Synapse or another platform, together we’ll make sure you transition to Microsoft Fabric without major risks and while maintaining business continuity.

We work with organizations in diverse industries: food industry, retail, healthcare, non-profit, business services and sports. The platform is sector-independent; IntelligentModel adapts to your business context. Get in touch and we’ll discuss what’s possible for your organization.

A standard Fabric implementation gives you a blank canvas. The Intelligenthive® gives you a complete platform: IntelligentModel as your business foundation, AI-driven automation, built-in governance, data quality, 750+ connectors and 24/7 management. You don’t start from scratch; you start ready.

Not necessarily. If you have an in-house data team, Intelligenthive® supports them with AI tooling and a standardized platform. Don’t have data engineers? Then our DataOps Managed Services team will take care of everything for you. Completely unburdened, without your own technical staff.

All configurations, pipelines and transformations run in your own Azure environment. There is no vendor lock-in on your data or your code. You can always move forward, even without us.

Yes, always. Intelligenthive® runs entirely in your own Azure tenant, within the EU. Data never leaves your environment. That guarantees data sovereignty and meets AVG requirements.

The Intelligenthive® has more than 750 connectors. Chances are that we already support your source systems, including local Dutch applications such as Exact, AFAS and Numbers. If a connector is missing, we will build it. Your existing data remains intact; we copy and transform, we do not replace.

No. We roll out Fabric as part of the onboarding process. Do you already have a Fabric environment? Then we connect to what’s there and optimize it further.

Intelligenthive® is a service you purchase from Beeminds. You get access to a fully configured platform running in your own Azure environment, purchased as a SaaS service. We onboard you in two weeks, after which our team takes care of management. It’s not a traditional deployment project; it’s a reusable platform with managed services around it, giving you lower up-front investments.

Beeminds helps organizations to get data and AI really working: not just building dashboards, but building a foundation that allows teams to get reliable insights and use AI/automation in daily processes.

Intelligenthive® is the AI Data Platform: a modular data platform on Microsoft Fabric + set of building blocks (think of data models, governance, integrations and AI/agents) that allows you to go from separate data sources to one scalable, manageable data & AI foundation within weeks.

Where a traditional data warehouse focuses on data storage and reporting, the Intelligenthive® combines a data platform based on Microsoft Fabric with:

• A logical data model (one version of the truth)
• AI Data Assistant using data agents to improve data quality and lineage
• Direct connection to analytics and AI
• A ‘pay per use’ data pricing model
• Various delivery models with matching managed services (managed or unmanaged)

This shifts your focus from setting up infrastructure and collecting and processing data to using and activating data. This contributes to rapid rollout and delivery of data & AI products to employees, customers and LLMs.

Yes, you can. We offer various training programs and partnership agreements for this purpose. Please contact us for more information.

Yes, the Intelligenthive® is suitable for (medium) sized organizations with a healthy data & AI ambition. The service is of particular interest when:

• Multiple source systems or entities coming together
• Reliability and governance are crucial
• More AI applications or advanced analytics are desired
• Existing delivery of data & AI products takes too long or fails
• Your organization has limited data knowledge and/or capacity and wants to scale up

For very simple environments with only one report, the platform is usually overkill, and we’re pretty vocal about that.

The cost of Intelligenthive® depends on the size and complexity of your organization. Intelligenthive® is intentionally modular so that organizations pay only for what they need, and can grow through without re-implementation.

The platform is modular and consists of three cost components:

1. Platform & infrastructure (subscription fees)
   This covers Intelligenthive® and cloud costs (e.g., data storage, processing and security). These costs consist of monthly fees and scale with the number of data sources, entities and usage.
2. Onboarding & implementation (consulting services)
   In addition to the one-time onboarding cost, we charge a for setting up the logical data model, data links, governance and initial use cases. Organizations often start with one domain (such as finance) and expand later.
3. Monitoring & Management (Managed Services)
   Depending on the delivery model chosen, this can range from fully in-house management (Supported) to fully unmanaged (Unmanaged) by providing Managed Services by Beeminds.

The cost depends on the services chosen and the level of service desired.

Intelligenthive® offers several delivery models, each with a form of managed service that fits the maturity of your data environment.

• Proof of Concept
  For organizations that want to get started with the Intelligenthive®. We test the full data journey and deliver the first data product. Ideal to validate value, feasibility and collaboration before scaling up.
• Production – Supported
  Your internal data team works closely with the Beeminds Managed Services Team. We monitor the data environment, identify issues and support optimization, while direction and knowledge remain within the organization.
• Production – Fully Managed
  The Beeminds Managed Services Team monitors and manages the entire data environment and provides all necessary Data Engineering services. This model completely unburdens and ensures continuity, stability and scalability.
• Business Critical (24×7)
  For business critical environments, our Managed Services Team monitors the entire data environment 24×7. Incidents are actively monitored, resolved and reported, in close consultation with the internal management team. Maximum reliability, minimum disruption.

Onboarding of the Intelligenthive® within your own Microsoft tenant takes 2 weeks. After that, organizations typically start delivering the first data products within one domain (e.g. finance, marketing or operations) within a few weeks. The modular structure of the Intelligenthive® offers the possibility to start small and expand based on the needs in the organization. As a result, initial results are typically delivered within 4-6 weeks, as they should be.

The platform delivers a logical data model containing structured, validated data with clear definitions. Making this context available makes Intelligenthive® ideally suited to:

• Provide AI agents with context and reliable data from multiple sources
• AI applications safe to use using validated data
• Apply predictive and generative AI to enterprise data
• Without a data model = no reliable AI. Intelligenthive® solves that

No, the Intelligenthive® is explicitly designed to add value and prevent vendor lock-in. The Intelligenthive® service is deployed within its own tenant, keeping your data, definitions and governance secure within your own cloud environment.

Specifically, how does Intelligenthive® prevent lock-in?

• Separation of logic and technology
• The data model and business logic are independent of the underlying cloud or BI tools. Technology can change without redesigning your data foundation.
• Use of open and common standards
• Data is approachable through standard formats and interfaces. No proprietary data structures holding you captive.
• Transferable governance and documentation
• Definitions, lineage and data quality rules are explicitly defined and transferable to other teams or vendors.

The Intelligenthive® is particularly suitable for medium and large organizations with data & AI ambitions and one or more of the following characteristics:

• Multiple legal entities, business units and/or source systems
• complex reporting requirements, such as group reporting, IFRS or CSRD, for example, that go beyond the manual use of Microsoft Excel
• ambition to safely deploy AI based on reliable data
• lack of in-house data engineering capacity and/or knowledge

The Intelligenthive® is an AI-ready data platform and AI Data Assistant that aggregates data from multiple sources into one truth for your organization. So you can get started right away with reports, dashboards and AI applications.

You roll out Intelligenthive® within a few days within your own Microsoft Fabric tenant. If desired, we manage your entire data environment. This keeps data safe, available and always under your control.

We work for organizations that are serious about being data & AI driven. And for CFOs, data & AI teams and IT organizations that want to base their reporting, analytics and AI applications on a reliable data platform and one version of the truth.

No. We help both organizations that are still at the beginning and those looking to improve their existing data environment.

Beeminds helps organizations to get data and AI really working: not just building dashboards, but building a foundation that allows teams to get reliable insights and use AI/automation in daily processes.

Intelligenthive® is the AI Data Platform: a modular data platform on Microsoft Fabric + set of building blocks (think of data models, governance, integrations and AI/agents) that allows you to go from separate data sources to one scalable, manageable data & AI foundation within weeks.

Where a traditional data warehouse focuses on data storage and reporting, the Intelligenthive® combines a data platform based on Microsoft Fabric with:

• A logical data model (one version of the truth)
• AI Data Assistant using data agents to improve data quality and lineage
• Direct connection to analytics and AI
• A ‘pay per use’ data pricing model
• Various delivery models with matching managed services (managed or unmanaged)

This shifts your focus from setting up infrastructure and collecting and processing data to using and activating data. This contributes to rapid rollout and delivery of data & AI products to employees, customers and LLMs.