SPRINTS & BESPOKE ADVISORY
Services & Engagements
High-conviction data engineering, single-source-of-truth architectures, and revenue analytics. Choose a fixed-scope productized sprint or partner on a bespoke advisory basis.
PRODUCTIZED SPRINTS
Fixed-Scope Engagements
Predictable pricing, concrete deliverables, and rapid turnaround. Zero scope creep or surprise billing.
DATA AUDIT1–2 Weeks
Data Quality & Anomaly Audit
Root-cause diagnostic for broken metrics, silent pipeline failures, and warehouse discrepancies.
$2,400
WHAT'S INCLUDED:
- Full Warehouse Diagnostic: Scan BigQuery, Snowflake, or PostgreSQL tables for nulls, duplicates & orphan keys.
- Automated Anomaly Tests: Production-ready SQL/dbt assertion suite targeting up to 15 critical data models.
- Health Scorecard & Roadmap: Prioritized action matrix of high, medium, and low severity data risks.
- Executive Readout Call: One 60-min walkthrough with engineering and analytics stakeholders.
*Scope covers one data warehouse environment. Additional environments or systems quoted separately.
✦MOST POPULAR · FOUNDATIONAL
SSOT SPRINT2–3 Weeks
SSOT Implementation Sprint
Establish a trusted Single Source of Truth architecture eliminating conflicting numbers across teams.
$4,800
WHAT'S INCLUDED:
- Unified Modeling Layer: Clean dimensional schema & modular dbt transformations, covering up to 20 core tables.
- Canonical Metric Definitions: Standardized logic for up to 5 core metrics (e.g. Revenue, Retention, CAC, LTV, Active Users).
- Automated Alerts: Real-time Slack/Email alerts on anomaly threshold breaches or failed syncs, configured for up to 10 monitored checks.
- Documentation & Handover: Clean data dictionary, schema diagram, and async team walkthrough.
REVENUE OPS3–4 Weeks
Revenue & Pipeline Engine
Variance analytics, quota-risk detection, and executive forecasting to protect quarterly targets.
$6,500
WHAT'S INCLUDED:
- Variance Analysis Framework: Automated Actuals vs. Booked vs. Pipeline reconciliation model.
- Quota Risk Detection: Pipeline coverage ratio models covering up to 3 revenue segments or regions, flagging at-risk revenue weeks before quarter close.
- Executive BI Suite: Interactive dashboard built in one platform of your choice (Power BI, Metabase, or Tableau).
- Post-Launch Support: Up to 3 check-in sessions over 2 weeks for threshold tuning and team walkthroughs.
Scope beyond what's listed above is quoted separately — no surprise fees, just a clear conversation first.
1-ON-1 PROBLEM SOLVING
Not ready for a full engagement?
Book 30 minutes to talk through a specific data or AI problem — no commitment beyond the call.
$75· 30 minutes
Book 30-Min Call →BUSINESS IMPACT & ROI
What Changes: Before vs. After the Sprint
Concrete business and technical outcomes delivered when you move from manual data firefighting to an engineered semantic system.
TRADITIONAL CHAOS
Conflicting Numbers & Disputed Dashboards
Three different teams bring three different revenue numbers to Monday leadership meetings. Executive time is wasted debating whose spreadsheet is right.
ENGINEERED SSOT
Unified Semantic Layer & Single Source of Truth
Automated dbt metric models serving one canonical definition. Product, Finance, and Exec dashboards pull from the exact same audited data contracts.
REACTIVE FIREFIGHTING
Silent Failures Discovered by Angry Stakeholders
Upstream API schema shifts or missing values corrupt downstream metrics unnoticed for days or weeks until a VP spots a broken graph.
PROACTIVE TELEMETRY
Automated Anomaly Tests & Slack Alerts in 2 Mins
Automated row-count, null-percentage, and distribution checks trigger instantaneous Slack alerts with root-cause diagnostic queries before reports publish.
MANUAL DRAG
60% of Senior Analyst Time Trapped in Ad-Hoc SQL
High-paid analytics engineers drown in repetitive 'Can you pull this CSV?' requests, creating multi-day bottlenecks for product and marketing.
10X LEVERAGE
Self-Serve Semantic Models & Agentic AI Tooling
Self-serve exploration layers and in-browser AI assistants allow business users to safely answer 80% of routine questions autonomously.
SILENT CLOUD BURN
Unbounded Full-Table Scans Wasting Cloud Budget
Unpartitioned legacy queries scan terabytes of historical events repeatedly, burning through thousands in Snowflake credits and BigQuery query quotas.
COST OPTIMIZED
Optimized Partition Pruning & 70–85% Less Scan
Partition clustering, incremental materialization, and query refactoring eliminate redundant warehouse scans and drastically slash monthly compute bills.
10–15 hrs
Saved per analyst / week on manual ad-hoc requests
70–85%
Reduction in warehouse compute & full-table scan waste
< 2 mins
Anomaly isolation and automated team notification
ARCHITECTURE BLUEPRINT
How the Sprints Fit Your Stack
Every package targets a concrete tier of data maturity — from baseline warehouse assertions to canonical semantic modeling and autonomous revenue intelligence.
CUSTOM SCOPES & ADVISORY
Bespoke Analytics & Applied AI
For complex multi-touch models, proprietary warehouse architectures, or fractional analytics leadership.
REVENUE & PIPELINE
Revenue & Commercial Analytics
Custom forecasting models, cross-platform spend benchmarking, and executive dashboards built across SQL, BigQuery, Power BI, and Metabase — tailored to unique sales cycles and contract structures.
SSOT & MONITORING
Data Integrity & Warehousing
Elimination of conflicting numbers and manual firefighting. Custom ELT pipelines, automated reconciliation workflows, and robust audit mechanisms that safeguard data pipelines before it reaches decision-makers.
USER BEHAVIOR
Product & Behavioral Analytics
Funnel drop-off diagnostics, retention cohort modeling, and feature engagement telemetry. The analytical foundation that lifted Novatr course completion by +25% by isolating exact friction points.
PRACTICAL AI
Applied AI & Agentic Workflows
Production AI utilities, automated SQL copilots, and intelligent data cleansing agents. Backed by Anthropic's AI Fluency and Claude 101 credentials, built to turn time-intensive manual workflows into instant automated systems.
ENGAGEMENT PROCESS
How We'll Work Together
Every collaboration begins with a concise 30-minute discovery call to unpack your actual bottleneck — not just the surface symptoms. From there, we select the right model: a fixed-scope sprint for immediate impact, a bespoke build, or a fractional retainer for continuous high-leverage data execution.
01
Discovery Call
Map core metrics, warehouse stack, and key friction points.
02
Sprint Scope
Agree on fixed deliverables, exact timeline, and milestone check-ins.
03
Rapid Execution
Direct SQL/dbt builds, dashboard delivery, and daily async updates.
04
Handover & Enablement
Walkthrough calls, documented schemas, and post-launch monitoring.
Need a custom scope or have questions about a package?Let's talk through your data architecture.
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