Data Science & Analytics
Dashboards, predictive models, and data pipelines that turn scattered data into clear decisions.
Overview
From data pipeline setup to predictive modeling and executive dashboards, we help you turn raw operational data into decisions you can act on — covering everything from data cleaning and warehousing to the final visualization layer.
Key Offerings
- Data pipeline & warehousing setup
- Predictive modeling
- Executive dashboards & reporting
- Data cleaning & governance
Tools & Technologies
Pricing Guide
Typical starting prices for data science & analytics projects — pick a starting point, then we'll scope the details together.
Starter
Best for a basic reporting dashboard
- Single data source integration
- Basic dashboard (up to 10 metrics)
- Data cleaning & preparation
- 1 round of revisions
- 30 days post-launch support
Business
Best for multi-source dashboards & insights
- Multiple data source integration
- Advanced dashboard & reporting
- Basic predictive analytics
- Data pipeline setup
- 90 days post-launch support
Advanced
Best for predictive modeling & data infrastructure
- Custom predictive/ML models
- Data warehouse setup
- Automated reporting pipelines
- Data governance setup
- 6 months post-launch support
Enterprise
Best for enterprise-scale data infrastructure
- Enterprise data architecture
- Dedicated data science team
- Ongoing model maintenance & retraining
- SLA-backed support
Prices shown are starting estimates for one-time project delivery. Final pricing depends on data sources, complexity, and reporting needs — get in touch for a detailed, no-obligation quote.
Our AI & Data Science Process
Discovery & Data Assessment
Understand your data sources, systems, and the business problem you’re actually solving.
Solution Design
Choose the right approach — off-the-shelf model, custom ML, or automation — matched to your budget and timeline.
Build & Validate
Develop and test the solution against real data before rollout.
Deploy & Monitor
Integrate into your workflow with ongoing monitoring so performance doesn’t drift over time.
Frequently Asked Questions
Yes — data cleaning and consolidation is usually the first phase of any engagement, before dashboards or models are built on top.
Both, depending on your need — but most clients move toward live dashboards so decisions are based on current data, not a monthly export.
A basic single-source dashboard starts around $600; multi-source dashboards with predictive analytics start around $1,800; custom ML models and data infrastructure start around $4,500. We'll scope your data sources for a firm quote.