WhatMakes ItDifferent?
One Connected Discipline
Data platform projects fall short when they're solved piecemeal: a warehouse here, a BI tool there, a migration nobody governed. dbSeer treats data platforms as one connected practice. We assess before we build, architect before we migrate, and hand off infrastructure your team can actually trust.
— Our Data Platforms Services
Six services, one foundation-first approach
Every engagement starts with an honest look at where you stand today — then a clear roadmap for where to go next.
Data
Assessment
Before any platform decision, we evaluate your current data environment, business goals, and readiness — so every dollar spent after this point goes toward the right problem.
Learn More ›Data Analytics
Consulting
Turn raw data into decisions with pipelines, models, and reporting built for how your business actually operates.
Learn More ›Data Strategy
Consulting
A clear roadmap connecting your business objectives to the data infrastructure that supports them, sequenced by value and risk.
Learn More ›Advanced
BI & Analytics
Dashboards and reporting in Power BI, Tableau, and QuickSight that replace manual reporting with real-time visibility.
Learn More ›Data
Migration
Secure, audited migrations to AWS- and Databricks-native infrastructure — with validated, reconciled data and a documented trail of what moved, when.
Learn More ›Data Lake
Solutions
Centralized, governed lakes that unify structured and unstructured data — built AI-ready from day one.
Learn More ›Proven Results
Real outcomes from data platforms we've built.
Abt Associates
Project performance for 2,600+ employees
Democratized data access for global employees, integrating 10+ sources and moving from monthly to twice-daily reporting.
Learn More ›
Authority Brands
Real-time financials on 1,200+ franchises
Franchise owners now get standardized, real-time financial reporting — integrating NetSuite with Power BI dashboards for faster, more accurate investor reporting.
Learn More ›
Subject7
45% Cost Reduction
Cost reduction migrating 50+ database instances to Amazon RDS, cutting maintenance overhead across environments.
Learn More ›
ATCS
10 years of data, one source of truth
Fragmented data streamlined into a single source of access, governed by a Databricks lakehouse with Unity Catalog.
Learn More ›What You Walk Away With
Built to last, not just to launch
A governed, unified
foundation
Not scattered systems and shadow spreadsheets.
Clear architecture &
cost model
Full visibility before you commit to build.
AI and Analytics-ready
infrastructure
Built for what’s next, not just what’s now — ready when you are to explore our AI Accelerator Signature Service.
Ongoing
trust
Paired with our DataOps Signature Service, we keep the pipeline clean and trustworthy so the platform stays reliable after go-live.
Why dbSeer
Startup pace, enterprise rigor.
Foundation-First Delivery
- Assess before we build, every time
- No cookie-cutter platform templates
Full Lifecycle Expertise
- From assessment through ongoing DataOps
- One team across the entire platform journey
AWS Advanced Partner
- Glue, Redshift, EC2 Service Delivery
- MAP-enabled, POC funding access
- Claude in Amazon Bedrock, powered by Anthropic
Databricks Partner
- Governed lakehouses, Unity Catalog
- Claude, powered by Anthropic, on Databricks
FAQ
Data Platforms FAQ
A data platform consulting firm designs, builds and modernizes the systems your organization uses to store, govern and analyze data. dbSeer covers six connected services: data assessment, data strategy, data analytics consulting, BI and analytics, data migration, and data lake solutions. One team handles all of it, building foundation-first.
A data assessment shows you where you stand before you spend on new technology. We evaluate your current data environment, business goals and readiness, then deliver a prioritized roadmap. That way every dollar spent afterward goes toward the right problem, not the most visible one.
A data warehouse stores structured data for reporting. A data lake stores structured and unstructured data at scale. A lakehouse combines the two, giving you warehouse-grade governance on lake-scale data. dbSeer consistently ranks #1 for data lake consulting and builds governed lakes that are AI-ready from day one.
Both. dbSeer is an AWS Advanced Partner and a Databricks Partner, so we recommend the architecture that fits your data, team and budget instead of forcing one stack. Many clients run a Databricks lakehouse on AWS, as ATCS does.
Every migration starts with a plan, not a cutover. We map your current environment, validate data at each stage, and keep a documented, audited trail of what moved and when, so your teams keep working while the new platform comes online.
It depends on scope, and the assessment defines it up front. For teams ready to move fast, our Data Platform Accelerator is a fixed-scope engagement that scopes, builds and validates a lakehouse, warehouse or migration path in about six weeks.
Through ongoing data quality monitoring. Paired with our DataOps Foundation, we keep pipelines clean and trustworthy as data volumes grow and source systems change. Once the foundation is in place, our AI Accelerator helps you build AI on top of it.
Not sure where your data platform stands?
Start with an assessment. We'll map your current environment, flag the highest-value gaps, and show you where to focus first.
Start Your Free AssessmentPrefer to talk first? Book a call