Consistent numbers. Instant answers.
When every team calculates "revenue" differently, trust collapses. AIM builds semantic models and OLAP cubes - SSAS and Tabular - that encode business logic once and serve fast, consistent answers everywhere.
Model once, use everywhere.
Semantic Modeling
- Tabular and multidimensional models
- Centralized business logic and KPIs
- Hierarchies, relationships, and roles
- Reusable across BI tools
OLAP & Performance
- SSAS cube design and processing
- Aggregations and partitioning
- DAX/MDX optimization
- Large-model tuning
Governance & Access
- Row and object-level security
- Version control and deployment
- Documentation of measures
- Lifecycle management
Use cases we enable.
Executive dashboards
Fast, dynamic reporting across financials, operations, sales, and HR.
Sales & margin analysis
Multi-level profitability slicing by region, product, or channel.
Regulatory reporting
Controlled, versioned views for audit-proof disclosures and compliance.
AI/ML integration
Serving business-ready data to machine learning pipelines with consistent semantics.
Integrated architecture, end to end.
Semantic modeling doesn't stand alone. We build it into broader data architectures, aligned with data warehousing, data lake, and data governance practices already in place.
ETL/ELT pipelines
Clean, enriched, and transformed data flows from upstream sources.
Data lake integration
Semantic layers that extend across structured and semi-structured data.
Data virtualization
Logical data models that unify disparate systems without physical movement.
Metadata & cataloging
Enhanced discovery and lineage through enterprise data catalogs.
The single source of calculation.
Logic in one place
Define a metric once; every report inherits the same trusted calculation.
Built for speed
Optimized cubes and models return answers on huge datasets instantly.
Secure and governed
Row and object-level security so people see exactly what they should.
Tool-agnostic
Models that serve Power BI, Excel, and any client that speaks to them.
Analyze. Model. Optimize. Govern.
Analyze
Metrics, grain, and query patterns.
Model
Build semantic/OLAP models with logic baked in.
Optimize
Aggregations, partitions, and tuning.
Govern
Security, versioning, and documentation.
Four principles behind every model we build.
Architecture-First
Semantic models and OLAP cubes are designed around your actual query patterns and grain, so performance holds as the model grows.
Outcome-Driven
Every model exists to answer specific business questions consistently, not just to centralize data for its own sake.
Vendor-Neutral
Whether you're on SSAS, Tabular, or another platform, we design the model to fit the tools your teams already use.
Pragmatic Delivery
We model, optimize, and govern in stages, so trusted numbers reach users before the full rollout finishes.
End the metric arguments.
AIM builds the semantic layer that makes every number consistent, fast, and trusted across the business.