Data &
Analytics.
Stop guessing. Start measuring. From data engineering and governance to BI and ML-ready pipelines. We build data programs that drive decisions, not just dashboards.
Plain English
What is
Data & Analytics Consulting?
Data and analytics consulting is the practice of turning raw data into decisions, through engineering, modeling, governance, visualization, and operating-cadence design. It spans data warehouse and lake architecture, ETL/ELT pipelines, semantic modeling, BI tooling, ML enablement, and the change management that gets analytics actually used.
What's Included
What's
In Scope
Data Engineering
Modern data stack design (warehouse, lake, lakehouse). Pipeline architecture. ETL/ELT with dbt, Fivetran, Airbyte, or custom.
Governance & Quality
Data classification, lineage, ownership model, quality rules, master data management. Audit-ready.
BI & Visualization
Dashboards people actually use. Semantic models, role-based access, embedded analytics. Power BI, Tableau, Looker, or Metabase.
Advanced Analytics
Forecasting, segmentation, propensity modeling, anomaly detection. Where ML adds real value, not where it sounds cool.
Analytics Ops
Stand up the operating cadence: weekly metrics review, monthly variance, quarterly deep dive. Data that drives meetings, not buries them.
Cloud Data Enablement
Migration from on-prem to Snowflake, BigQuery, or Databricks. Cost optimization, governance, and lakehouse architecture.
Vendor-Neutral
Stack We Run
Partner of Choice
Why Tech Critic
Senior consultants, not pyramid staffing
Every engagement is led by a partner-grade consultant. No 'sold by the partner, delivered by an associate' bait-and-switch.
Fixed-scope, milestone-based
Written estimates before any work begins. Most engagements are priced by deliverable, not by the hour.
Vendor-neutral
No partner kickbacks, no software resale incentives. We recommend what's right, not what pays.
We own the outcome
From discovery through delivery through 90-day post-launch tune-up. We don't disappear after kickoff.
Five offices, one standard
Dallas HQ, Bogotá and Medellín for LATAM nearshore, plus Lahore and Dubai. Every office is ours. We don't outsource.
Cross-disciplinary by design
Most engagements pull from multiple practices, data, change, software, strategy. One firm, no integration tax.
You've Got Q's
We've Got A's
Don't see your question? Just ask.
How long does a data warehouse build take?
Modern stack build: 8 to 14 weeks for first production use cases. Full enterprise data warehouse: 6 to 12 months.
Do you handle data governance?
Yes, policy, classification, lineage, and ownership models. Audit-ready for SOC 2, HIPAA, GDPR, CCPA.
Snowflake or Databricks?
Depends on your workload mix. Heavy ML/streaming: Databricks. Heavy BI and SQL analytics: Snowflake. We'll run an honest comparison.
Can you migrate us off legacy BI?
Yes, common migrations: Cognos to Power BI, MicroStrategy to Tableau, Crystal to Looker.
Data That Drives Decisions.
Book a 30-minute call to walk through your data stack and roadmap.