Data Engineering • Analytics • AI Consulting
Build a modern data foundation—then put AI to work.
Essent Analytics helps teams design scalable lakehouse architectures, deliver trusted analytics, and implement practical AI solutions with measurable outcomes.
What you can expect
- Production-grade pipelines with monitoring, documentation, and ownership.
- Clear, consistent metrics and dashboards stakeholders trust.
- AI implementations focused on business impact—not demos.
Typical engagement
Discovery → build plan → implementation → handoff (or ongoing support)
Services
Pick a focused project or a phased roadmap. We can work alongside your team or deliver end-to-end.
Data Engineering
Lakehouse architecture, ETL/ELT pipelines, data modeling, governance, and performance tuning—built for reliability and scale.
- Azure + Databricks
- Medallion (Bronze/Silver/Gold)
- Incremental loads + CDC
Analytics & BI
Semantic layers, KPI definitions, dashboards, and self-serve reporting that stakeholders actually trust and use.
- Power BI / Tableau
- Metric standardization
- Executive-ready reporting
AI & Applied ML
Practical AI use-cases: forecasting, scoring, copilots, and automation—implemented responsibly with measurable ROI.
- LLM/AI prototypes
- Model serving + monitoring
- Cost/performance tracking
Approach
We keep it simple: align on outcomes, build with solid engineering, and leave you with something you can run.
Step 1
Discover
Align on goals, users, data sources, and success metrics. Identify quick wins and risks.
Step 2
Build
Implement pipelines, models, dashboards, or AI features with production-grade practices.
Step 3
Operate
Documentation, handoff, monitoring, and iterative improvements—so it keeps working.
Let’s talk
Tell us what you’re trying to achieve and your current stack. We’ll respond with next steps and a proposed plan.