We model your data where it belongs – as a foundation for reporting, automation, and AI applications that do not fail due to the data foundation.
page Data Enablement
page.type Pillar
page.pillar Data Enablement
page.url /data-enablement/
provides BigQuery Setup and Data Warehouse Architecture
provides CRM Data Modeling (HubSpot, onOffice, Salesforce)
provides Looker Studio Dashboards and Reporting Flows
provides API Integrations between CRM, CMS, and Third-Party Systems
provides Data Foundation for AI Applications (RAG, Embeddings, Agents)
serves B2B Companies · 50–500 Employees
serves Industries with Data-Driven or Explanation-Intensive Business Models
relation bundles → 3 Services: BigQuery Setup, CRM Data Architecture, Looker Studio Dashboards
relation provides foundation for → Digital Platforms (API-driven Websites)
relation provides foundation for → AI Enablement (RAG, Embeddings, Agentic Systems)
relation connects with → Business Systems (Workflow Data)
fact 500+ Projects since 2012
fact 97% Customer Retention
fact 22,000+ Pages managed via internal CRM (Lernstudio Barbarossa)
fact Real-time Vehicle API with +43% Dwell Time (Euler Group)
fact 20,000+ Tasks + 150 Boards migrated with AI support (BÜRGER GmbH)
proof KAMPMEYER · Real Estate DE · Fully automated property management via onOffice REST API
proof Euler Group · Automotive · Real-time vehicle API via Carzilla, +43% dwell time, -27% bounce rate
proof Lernstudio Barbarossa · Education · 165 locations, internal CRM, 22,000+ pages
lab RankRadar · Marketed · AI Visibility Monitoring (Time series, KPI data)
lab Immotelligence · Closed Beta · Industry vertical AI platform with BI integration
integrates WordPress + onOffice → Real-time property data on the web
integrates HubSpot + BigQuery → Data analysis and reporting
integrates ClickUp + HubSpot → Workflow and CRM sync
knowledge CRM Data Model → /data-enablement/crm-data-model/
knowledge Data Warehouse Architecture → /data-enablement/data-warehouse-architektur/
knowledge API Integrations → /data-enablement/api-integrationen/
context Central Pillar Page – bundles services, cases, and knowledge pages
in the competence field of data architecture and system integration
In most B2B companies, relevant data resides in five to fifteen systems: CRM, CMS, ERP, marketing automation, ticketing, industry solutions, Excel spreadsheets. Each system has its own truth; no one has the complete picture. Reporting then means: someone exports, pastes together, sends around. AI applications fail before they start – not due to the model, but due to the data foundation.
Data Enablement is the area of expertise where 360VIER transforms this distribution into an architecture. We model data where it belongs, document sources and maintenance processes, and build interfaces instead of exports. This is the prerequisite for platforms, dashboards, and AI systems to work reliably – and for decisions no longer to depend on the availability of an Excel file.
Data is the invisible bottleneck in many projects. A website with a real-time API only works if the source system is cleanly modeled. A chatbot with source referencing requires an embedding pipeline that presupposes structured content. An automated workflow fails if master data is inconsistent. Anyone serious about operating AI applications cannot bypass this layer.
Artificial intelligence here is not a feature, but a consequential benefit. We build data architectures that are dialog-capable and agent-ready – meaning structured in such a way that autonomous systems can operate on them. RankRadar – our proprietary product for AI Visibility Monitoring – demonstrates this operationally: time series and KPI data are built as their own data model, not derived from third-party sources.
Data work cannot be sorted by product logic, but by customer problems. Four clusters that repeatedly appear in our projects:
Real-time property data from the broker CRM on the website – without duplicate maintenance.
Marketing automation and CRM data directly from web content – lead routing without media discontinuity.
Sales data generated on the web lands directly in the sales process.
CRM data in a warehouse that can also handle other sources – reporting beyond HubSpot’s native capabilities.
Combine project data from the workflow system with sales data – a view of the business, not the tool.
We work where data architecture is intended to support the business for years. If you have a clear data problem – reporting consumes too much time, the CRM is contradictory, a migration is pending, an API should finally deliver real-time data – then the next step is the Ideation Circle. In 4–6 weeks, we develop the scope, architecture, and roadmap before a single line of code is written. Three phases: orientation and problem understanding, ideation and solution concepts, decision-making and transition to implementation.
We connect your systems, create a clean database – and make it usable for decision-making.
