All Services

Analytics & BI

Data Analytics & Business Intelligence

Turn raw data into real decisions. Analytics platforms your team will actually use — not another dashboard graveyard.

Typical Timeline

8–10 weeks

Team Size

2–3 specialists + AI

Cost Savings

50–70% vs traditional

Dashboard Adoption

80%+ typical

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The Challenge

The challenge

You have dashboards. Dozens of them. But nobody trusts the numbers because every department has its own definition of "revenue," "churn," or "utilization." When the CEO asks a simple question, it takes three weeks and four analysts to produce an answer that three VPs will dispute.

The issue isn't visualization. It's the data architecture, metric definitions, and governance underneath. Without a reliable foundation, every dashboard is just a prettier way to look at unreliable numbers.

Our Approach

How we solve this differently

Metric Standardization

AI agents identify every conflicting metric definition across your organization. Our consultants work with stakeholders to establish a single source of truth.

Semantic Layer Architecture

We build a governance layer between your data and your dashboards so that every report, every dashboard, every ad-hoc query uses the same definitions.

Self-Service Analytics

We design for adoption, not just accuracy. Dashboards that load fast, answer real questions, and empower non-technical users to explore data on their own.

AI-Powered Insights

Automated anomaly detection, trend analysis, and natural language query interfaces that surface insights proactively — not just when someone remembers to check.

AI-Powered

What our AI agents handle

Profile all existing reports and dashboards, identifying conflicting metrics and unused assets

Generate dbt transformation models for the semantic layer

Build automated data quality checks for every analytics pipeline

Create initial dashboard templates based on prioritized KPIs

Monitor data freshness, query performance, and user adoption post-launch

Timeline

Typical project timeline

Traditional Approach

Requirements

4–6 weeks

Data Modeling

6–8 weeks

Dashboard Build

8–12 weeks

UAT

4–6 weeks

Training

2–4 weeks

Agilityx + AI Agents

Discovery + Audit

1 week

Semantic Layer

2–3 weeks

Dashboards + QA

3–4 weeks

Launch + Adopt

2 weeks

Outcomes

What you can expect

Hours

Time to insight

Down from weeks through self-service analytics

80%+

Dashboard adoption

Across leadership and operations

1

Source of truth for metrics

Single, trusted definition organization-wide

Ready to fix your analytics? Let's talk.

Book a 30-minute discovery call and we'll show you exactly how the Build With model applies to your situation.