BI Consulting: Turn Your Data into Decisions That Ship
Your organization has more data than ever and fewer answers. Dashboards multiply but decisions don't improve. The gap isn't technology — it's the semantic layer, the data model, and the self-service strategy that makes analytics useful to the people who actually need it.
Dashboard & Report Design
Action-oriented dashboards that drive decisions, not just display data
Semantic Modeling
One source of truth for KPIs, measures, and business logic across all reports
Self-Service Analytics
Empowering business users to explore data without bottlenecking the BI team
Performance & Scale
Optimization for enterprise data volumes and hundreds of concurrent users
You have dashboards. You don't have answers.
Most enterprises don't have a BI tool problem — they have a BI architecture problem. Dashboards without a semantic model means every team defines revenue differently. Self-service without governance means data chaos. Beautiful visualizations built on bad data models mean confident decisions based on wrong numbers.
Effective BI consulting addresses all three layers simultaneously: the data model that feeds analytics, the semantic layer that defines business logic, and the visualization layer that presents insights to decision-makers. Skip any layer and the whole thing underperforms.
The BI specialists who understand this full stack — who can design a star schema, build a DAX-optimized semantic model, create action-oriented dashboards, and implement row-level security governance — are rare. Xylity's consulting-led matching process evaluates this depth through scenario-based assessment.
Business intelligence consulting capabilities
Strategy through execution — every engagement staffed by pre-qualified BI specialists matched to your platform, data environment, and business domain.
BI Strategy & Platform Selection
Evaluating where you are, where you need to be, and which platform gets you there. Power BI for Microsoft shops, Tableau for visualization-heavy use cases, Looker for code-first analytics teams. Platform selection informed by your data stack, user base, and governance requirements.
Semantic Modeling & Data Architecture
The most impactful layer of BI. Star schema design, DAX measure libraries, calculation groups, KPI definitions that become the single source of truth. When Power BI and the data warehouse speak the same language, trust follows.
Dashboard & Report Development
Action-oriented dashboards designed for the decisions they drive — not the data they display. Executive summaries, operational dashboards, embedded analytics, and paginated reports. Each designed for its audience and optimized for performance.
Self-Service Analytics Enablement
Governance frameworks that empower business users without creating chaos. Certified datasets, approved data sources, template libraries, and training programs. The balance between flexibility and consistency that makes self-service actually work.
Performance Optimization
Slow dashboards don't get used. Query optimization, data model tuning, aggregation tables, incremental refresh strategy, and Direct Lake implementation for Fabric environments. Making BI fast enough to be useful.
Governance & Security
Row-level security, object-level security, workspace strategy, deployment pipelines, and audit trails. Especially critical in healthcare (HIPAA), financial services (SOX, Basel), and any environment with sensitive data. Governance that enables rather than blocks.
BI platforms and tools we implement and optimize
Power BI
Semantic models, DAX, Direct Lake, embedded analytics, paginated reports
Tableau
Visual analytics, Prep Builder, Server/Cloud, calculated fields, LOD expressions
Looker
LookML semantic layer, Explores, embedded analytics, Git-native workflows
Qlik Sense
Associative engine, data integration, alerting, augmented analytics
SSRS / Paginated
Operational reports, pixel-perfect formatting, scheduled distribution
dbt Metrics
Code-first metric definitions, version control, CI/CD for analytics
Azure Analysis Services
Enterprise tabular models, on-premises and cloud, Power BI integration
Cube / Headless BI
API-first semantic layer for custom applications and embedded analytics
BI is only as good as the data that feeds it
When dashboards show wrong numbers, the problem is rarely the dashboard. It's the data model, the ETL pipeline, or the source data quality. Xylity connects BI consulting with data engineering so both layers get the attention they deserve.
THE BI DATA STACK
Source Layer: ERP, CRM, databases, APIs, files — the raw data that feeds everything.
Engineering Layer: ETL/ELT pipelines, data warehouse, lakehouse, data quality.
Semantic Layer: Business logic, measures, KPIs, relationships, hierarchies.
Visualization Layer: Dashboards, reports, self-service, embedded analytics.
Most BI projects focus exclusively on the visualization layer — building dashboards on top of whatever data exists. This creates beautiful reports with unreliable numbers. Effective BI consulting addresses all four layers because the semantic model can only be as clean as the data underneath it, and dashboards can only be as trustworthy as the semantic model.
Xylity's BI specialists understand this full stack. When the engagement reveals data engineering gaps — and it often does — our data engineering practice can staff the pipeline work in parallel.
Pre-qualified BI specialists, matched to your analytics goals
Analytics Assessment
We map your current BI environment, data sources, user personas, and the decisions you need analytics to support. The matching starts from your business context.
Platform-Specific Matching
BI specialists matched for your platform: Power BI, Tableau, Looker, or multi-platform. Semantic modeling depth and industry domain verified through scenario assessment.
Technical Evaluation
Candidates walk through BI-specific scenarios: data model design, DAX or LOD expressions, performance optimization strategies. 92% pass your technical screen on first match.
Deploy & Iterate
Your BI specialist delivers working dashboards from week one. User feedback drives iteration. The best BI implementations are built with users, not delivered to them.
BI expertise for enterprises and delivery partners
Need BI that drives decisions, not just displays data?
Enterprise BI requires more than dashboard developers — it requires architects who understand semantic modeling, governance, and performance at scale. Xylity matches pre-qualified BI specialists who've built analytics platforms for organizations of 500-10,000 employees. Our consulting-led process ensures they understand your data, your platform, and your business context.
Start a Consulting Engagement →Client needs BI specialists your bench doesn't have?
Power BI semantic modeling, Tableau server architecture, Looker LookML — these are specific skills your generalist developers may not cover. When a client's analytics project calls for BI depth, Xylity delivers curated profiles in days. IT services companies of 20-1,000 employees use Xylity to staff BI engagements with confidence.
Scale Your Analytics Delivery →BI consulting — answered
Your analytics deserve specialists
who build BI that drives decisions.
Tell us about your BI goals. We'll match pre-qualified specialists — from semantic modeling through dashboard delivery — in an average of 4.3 days.