The Analytics Challenges Holding Enterprises Back. Organizations across every stage face the same core analytics frustration: fragmented tools, conflicting KPIs, and reports that raise more questions than answers. Growing teams struggle with data scattered across disparate SaaS applications without a single trusted metric. Talk to us
Executive Dashboards Board-level KPI views engineered for the questions leadership actually asks, with drill-down paths that answer the follow-up before it is raised. Talk to us
Power BI, Looker, and Tableau Platform-fluent delivery across the three tools that define enterprise BI, with the platform choice grounded in your stack and licensing, not our preference. Talk to us
Operational Reporting Operational dashboards with the freshness the workflow demands, from daily finance close views to sub-minute streaming metrics for fraud, inventory, and campaigns. Talk to us
Data Storytelling Information design that leads the reader to the insight: visual hierarchy, annotation, and narrative flow engineered so the dashboard explains itself. Talk to us
Metrics Layer Engineering Every KPI defined once, versioned, documented, and owned, on dbt, LookML, Power BI semantic models, or the platform-native metrics layer that fits your stack. Talk to us
Dimensional Modeling The dimensional foundations that make analytics fast and consistent, engineered by teams with twenty years of modeling enterprise data. Talk to us
Governance and Certification Certified datasets, access control, and lineage, so users know which numbers are official and auditors can trace every figure to source. Talk to us
AI-Ready Semantics Semantic models engineered so natural language queries and generative AI answer from governed definitions, not from raw tables they might misread. Talk to us
Churn, Retention, and LTV Models Customer-level predictions of churn risk and lifetime value, delivered into the CRM and campaign tools where teams can act on them, not left in a notebook. Talk to us
Demand Forecasting Time-series forecasting for demand, inventory, staffing, and revenue, engineered against seasonality, promotions, and the real drivers of your business. Talk to us
Risk, Fraud, and Anomaly Models Scoring models for claims fraud, transaction risk, and operational anomalies, with explainability engineered in so decisions survive regulatory and audit review. Talk to us
MLOps and Model Lifecycle Deployment, monitoring, drift detection, and scheduled retraining on MLflow and platform-native tooling, so models keep earning trust after launch. Talk to us
Natural Language Query Conversational analytics on Power BI Copilot, Looker conversational analytics, and custom LLM interfaces, answering from the governed semantic layer so the answer is right, not just fluent. Talk to us
Text Analytics and NLP Sentiment, topic, and intent extraction across support tickets, transcripts, reviews, and open-ended survey responses, turning the voice of the customer into a measurable signal. Talk to us
AI-Generated Narratives Automated anomaly explanation and narrative summaries that tell leadership what changed, why it changed, and what to look at next, generated from governed data. Talk to us
RAG on Enterprise Content Retrieval-augmented generation over reports, policies, and documents, engineered with Sundew's data engineering practice so answers cite current, complete, governed content. Talk to us
Governed Self-Service Certified datasets, curated semantic models, and guardrails that let business teams explore freely without creating three new versions of the truth. Talk to us
Embedded Analytics Dashboards and metrics embedded into internal applications and customer-facing portals via Power BI Embedded, Looker embedding, and custom APIs. Talk to us
Analytics Enablement Team enablement, report-builder training, and center-of-excellence design so the self-service capability compounds instead of decaying after launch. Talk to us
Adoption Measurement Usage analytics on the analytics itself: who uses what, which reports drive decisions, and where the investment should go next. Talk to us
Analytics on the platforms we deliver. Sundew delivers analytics and BI across the leading platforms, with the tool choice grounded in your stack, your licensing, and your team, not in our preferences. 20yrs Turning enterprise data into trusted decisions 03 BI platforms: Power BI, Looker, Tableau 04 Data platforms: Databricks, Snowflake, BigQuery, Fabric
Turn competing dashboards into a single, predictive intelligence engine. Connect with Sundew's principal analytics architects to evaluate your reporting estate, eliminate technical metric debt, and design an AI-ready semantic layer that keeps every department aligned on the exact same numbers. Talk to us