Data visualization

Comprehensive data engineering solutions tailored for Microsoft Dynamics 365 and enterprise systems

DATA VISUALIZATION

Pre-built semantic models

Comprehensive library of business-ready models covering all major functional areas

Financial performance

P&L analysis

Income statement with variance analysis and drill-down capabilities

Key KPIs:

  • Revenue growth
  • Gross margin
  • EBITDA
  • Net income

Cash flow management

Operating, investing, and financing cash flows with forecasting

Key KPIs:

  • Operating cash flow
  • Free cash flow
  • Cash conversion cycle
  • DSO

Balance sheet analytics

Asset, liability, and equity analysis with trend comparisons

Key KPIs:

  • Current ratio
  • Debt-to-equity
  • ROA
  • ROE

Operational excellence

Supply chain performance

End-to-end supply chain visibility and optimization metrics

Key KPIs:

  • On-time delivery
  • Inventory turnover
  • First pass yield
  • Downtime

Manufacturing efficiency

Production performance and quality metrics

Key KPIs:

  • OEE
  • Cycle time
  • CCC
  • DSO

Vendor performance

Supplier scorecards and procurement analytics

Key KPIs:

  • Vendor rating
  • Cost savings
  • Quality score
  • Delivery performance

Customer analytics

Sales performance

Revenue analysis by product, region, and sales rep

Key KPIs:

  • Sales growth
  • Win rate
  • Average deal size
  • Sales cycle

Customer profitability

Customer lifetime value and profitability analysis

Key KPIs:

  • CLV
  • Customer margin
  • Churn rate
  • Acquisition cost

Market analysis

Market share and competitive positioning insights

Key KPIs:

  • Market share
  • Competitive win rate
  • Price realization
  • Brand perception

Technical capabilities

Enterprise-grade features for scalable analytics platforms

Universal compatibility

Works seamlessly with all major BI platforms

Supported platforms:

  • Power BI
  • Excel
  • Qlik sense
  • Python/R
  • Tableau
  • Looker

Business benefit:

  • No vendor lock-in, use your preferred tools

Real-time performance

Sub-second query response times for interactive analytics

Performance metrics:

  • <100ms query response
  • 1M+ rows processed
  • Concurrent user support
  • Auto-scaling

Business benefit:

  • Instant insights for time-critical decisions

Self-service analytics

Business users can create reports without IT involvement

Key features:

  • Drag-and-drop interface
  • Pre-built calculations
  • Guided analytics
  • Natural language queries

Business benefit:

  • Reduced IT backlog and faster time-to-insight

Enterprise security

Row-level security and data governance controls

Key features:

  • Role-based access
  • Dynamic security
  • Data masking
  • Audit logging

Business benefit:

  • Secure data access with compliance controls

Investment options

Flexible packages to match your organization’s needs

Starter package

6-8 weeks • Single business unit, 3-5 semantic models

  • Core financial and operational models
  • Basic KPI library (50+ metrics)
  • Single BI platform integration
  • Standard security implementation
  • User training for 25 users

Ideal for: Small to medium enterprises

Enterprise package

10-12 weeks • Multiple business units, 10-15 semantic models

  • Comprehensive model library
  • Advanced KPI library (200+ metrics)
  • Multi-platform integration
  • Advanced security and governance
  • User training for 100+ users
  • 6-month support included

Ideal for: Large enterprises

Global package

16-20 weeks • Global deployment, 20+ semantic models

  • Complete semantic layer platform
  • Industry-specific model library
  • Multi-language and currency support
  • Enterprise governance framework
  • Global user training program
  • 12-month support and optimization

Ideal for: Fortune 500 companies

4-step implementation process

Structured approach to semantic layer deployment

01

Business analysis

Duration: 1-2 weeks

Key activities

  • Stakeholder interviews and requirements gathering
  • Current state BI assessment and gap analysis
  • KPI definition and metric standardization
  • User persona identification and use case mapping

02

Semantic layer design

Duration: 2-3 weeks

Key activities

  • Logical data model design and documentation
  • Business rule definition and calculation logic
  • Hierarchy and dimension structure creation
  • Security and access control framework
  • Workspace organization and permissions

03

Development & testing

Duration: 3-4 weeks

Key activities

  • Semantic model development and optimization
  • Calculation and measure implementation
  • Performance tuning and query optimization
  • User acceptance testing and validation

04

Deployment & training

Duration: 1-2 weeks

Key activities

  • Production deployment and configuration
  • User training and knowledge transfer
  • Dashboard template creation
  • Support documentation and procedures
Empower your visualization teams with business-ready semantic models that accelerate dashboard development, ensure data consistency, and enable self-service analytics across your organization.

Ready to transform
your BI development

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