Data strategy & architecture
A pragmatic blueprint for CDPs, data lakes, analytics, and AI—aligned to business outcomes and DSG constraints.
Service Category
DSG-ready (Switzerland)
Data & Models – Build Data Foundations for Intelligent Decisions
Master your data for predictive power and precision.
Data overload without structure results in poor insights and compliance risks, especially under DSG in Switzerland. We design data strategies spanning AI solutions and business analytics, CDPs, data lakes, and predictive models that unify and activate your information. Use cases focus on requirements like real-time forecasting and customer segmentation, and we evaluate vendors (e.g., Snowflake, Databricks) objectively through tenders.
What we build (and why it works)
Activation & unification
Turn fragmented data into trusted, usable signals for customer journeys, decisioning, and operational reporting.
Predictive models
Forecasting and segmentation models designed for precision, monitoring, and governance—not just prototypes.
Vendor evaluation (tenders)
Objective assessment of platforms like Snowflake or Databricks—requirements, scoring, and recommendation.
Data & Models SERVICES
Service overview: Data & Models
Explore our Data & Models service areas and jump into the one you need. Each service is designed to build secure, governed, and AI ready data foundations that deliver trusted insights, regulatory compliance (DSG/GDPR), and measurable business value.
Data
Strategy
Value
Data Strategy & Governance
Establish clear ownership, policies, and processes so your data is accurate, secure, and compliant — turning regulatory requirements into a competitive advantage.
What we do
- Data strategy definition and roadmap development
- Governance framework design (roles, policies, stewardship)
- Data quality assessment and improvement programs
- DSG/GDPR compliance mapping and controls
- Metadata management and data catalog implementation
Typical outcomes
- Single source of truth with clear accountability
- Reduced compliance risks and audit findings
- Higher data trust and adoption across teams
- Foundation ready for advanced analytics and AI
CRM
Omni-channel
Orchestration
Data Architecture
Design and implement modern, scalable data architectures that support real-time analytics, AI workloads, and future growth.
What we do
- Data architecture blueprints (lakehouse, mesh, fabric)
- Cloud-native pipeline and ETL/ELT development
- Integration of structured and unstructured data sources
- Performance optimization and cost management
- Real-time data streaming architectures
Typical outcomes
- Scalable, high-performance data platform
- Reduced data processing costs
- Faster time-to-insight for business users
- Seamless support for AI and machine learning workloads
CRM
Process
Governance
Customer Data Platform (CDP)
Create a unified, high-quality view of your core business entities — especially customers — to enable personalization, accurate reporting, and better decisions.
What we do
- Master data management (MDM) strategy and platform selection
- Customer Data Platform (CDP) design and implementation
- Data matching, deduplication, and enrichment
- Golden record creation and maintenance
- Synchronization across CRM, ERP, and marketing systems
Typical outcomes
- 360-degree customer view with high accuracy
- Improved segmentation and personalization effectiveness
- Reduced errors in reporting and operations
- Better customer experience through consistent data
CRM
Change
Adoption
Predictive Analytics
Turn your data into predictive power with models that drive forecasting, scoring, and intelligent automation.
What we do
- Feature engineering and model development
- Predictive models for churn, lifetime value, propensity, and demand
- Model deployment, monitoring, and retraining pipelines
- Integration of models into CRM, marketing, and operational processes
- Explainability and bias detection frameworks
Typical outcomes
- Quantifiable lift in key business metrics
- Automated, data-driven recommendations in real time
- Models that are monitored and stay accurate over time
- Clear ROI from AI initiatives
CRM
Change
Adoption
Migrate and modernize your data estate with minimal disruption while improving quality and structure for the future.
What we do
- Migration strategy and detailed planning
- Data profiling, cleansing, and transformation rules
- Phased migration execution with validation
- Cutover planning and rollback scenarios
- Post-migration optimization and knowledge transfer
Typical outcomes
- Successful on-time, on-budget migration
- Cleaner, more usable data in the target environment
- Minimal business disruption during transition
- Modern foundation ready for cloud and AI
CRM
Change
Adoption
Change Management & User Adoption
Get an independent, rapid assessment of your current data platforms, architecture, and practices — with a clear prioritized improvement plan.
What we do
- Comprehensive review of data architecture and technology stack
- Assessment of governance, quality, security, and performance
- Gap analysis against best practices and business needs
- Risk identification (compliance, scalability, cost)
- Actionable roadmap with quick wins and long-term recommendations
Typical outcomes
- Clear understanding of current strengths and weaknesses
- Prioritized backlog of improvements
- Cost optimization opportunities identified
- Confident foundation for strategic decisions