Transform data into decisions. Build self-service analytics, executive dashboards, andpredictive models that give your organization real-time visibility into performance
Start your ANALYTICS transformationDashboard refresh time
Self-service adoption (no IT dependency)
Data freshness
Best for companies wanting to combine planning, forecasting, and analytics in one platform with connected financial and operational models
Sweet spot: Integrated planning + analytics, driver-based dashboards, scenario modeling
Best for Microsoft-centric organizations (Azure, Office 365) needing enterprise BI with strong Excelintegration and affordable licensing
Sweet spot: Mid-market companies, Microsoft ecosystem, Excel power users, cost-conscious
Best for companies needing advanced visualizations, interactive dashboards, and strong data blendingcapabilities across multiple sources
Sweet spot: Data-driven cultures, complex visualizations, cross-functional analytics, data exploration
Best for companies on Google Cloud Platform needing governed self-service analytics with version-controlled data models (LookML)
Sweet spot: GCP customers, software/tech companies, data engineering teams, governed self-service
Our proven 5-phase framework delivers analytics platforms in 3-6 months, depending on data complexity
We audit your current reporting landscape, interview stakeholders, map data sources (ERP, CRM, WMS, HRIS), and design the target analytics architecture with data models and dashboard mockups
Build or enhance data warehouse (Snowflake, Redshift, BigQuery), design star schema data models, build ETL pipelines (Fivetran, Matillion, dbt), and establish data governance
Build dashboards in Power BI, Tableau, or Looker. Create semantic layers, pre-built datasets, and self-service templates. Iterative review with business users every 2 weeks
Conduct UAT with business users, fix bugs, train power users and end users, create documentation andquick-reference guides
Hand-off the platform to business users. Hypercare support for 30-60 days, dashboard refinement, knowledge transfer, and handover to internal team or ongoing support contract
These are the real problems analytics leaders bring to us — data silos, manual reporting, and no self-service
BI team manually pulls data from 5 systems into Excel for weekly executive reports. We automate dashboards with daily refresh
Every ad-hoc request goes to IT, 2-week backlog. We build self-service analytics with pre-built datamodels and drag-and-drop interface
Revenue numbers don't match between systems, no single source of truth. We build data quality checksand master data management
Actuals reported in Power BI, budgets in Excel, forecasts in Anaplan—no integration. We integrate planning and reporting on one platform
All reporting is backwards-looking (what happened), no predictive analytics (what will happen). We build ML models for forecasting and predictions
Executives can't access dashboards on mobile, stuck with PDF reports. We build mobile-optimized dashboards with offline access
We've helped several organizations move from manual reporting to self-service analytics, cut report generation time from days to seconds, and empower business users. Let's talk about your analytics challenges
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