Data Innovation Journeys
Every successful journey begins with a plan, and a good plan is informed by experience and insight. Cdata Consulting wrapped our expertise and research into a framework called The Data Innovation Journey, enabling your organization to deliver pragmatic solutions to real world problems.
We offer a wide range of services designed to help businesses thrive in the digital era. From data solutions to AI, marketing, and CRM management, our expertise drives innovation and efficiency.
What we build
Senior delivery across the modern data stack — from raw ingestion to AI-ready governed analytics.
Data Engineering
Production-grade pipelines, ETL/ELT, and real-time streaming — built to scale and stay reliable.
Learn MoreData Platforms
Cloud-native lakehouses on Snowflake, Databricks, and BigQuery — unified, governed, cost-aware.
Learn MoreData Visualization
Dashboards and self-serve reporting in Looker, Tableau, Power BI, and Hex — built for the people who actually use them.
Learn MoreAI & Machine Learning
Predictive models, recommender systems, and GenAI agents — from prototype to production.
Learn MoreData Migration
Move from legacy warehouses to modern lakehouses without breaking dashboards or downstream consumers.
Learn MoreData and AI Strategy
Pragmatic roadmaps that prioritize what to build, what to buy, and what to kill.
Learn MoreWhy Choose Our Services?
We are dedicated to delivering high-quality, scalable, and innovative solutions tailored to your business needs.
Data-Driven Solutions
We harness the power of data to drive informed business decisions and optimize workflows.
Cutting-Edge AI
Our AI-driven solutions empower businesses with automation, predictive analytics, and machine learning.
End-to-End Digital Strategies
From marketing to CRM solutions, we provide full-spectrum digital transformation services.
Take the next step with CData
Learn how CData can help solve your most challenging data and AI problems.
Free Resource · No sales pitch
The Metric Drift Audit Template
The spreadsheet we run on day one of every semantic layer engagement. Surface every place “revenue,” “active customer,” and “MRR” are defined across your stack — and how badly they disagree. Most teams find 4-7 versions of each metric.
- → Pre-filled rows for 5 commonly-drifting metrics
- → 10 columns covering owner, source, SQL, drift risk
- → Read-out section to fund the cleanup with your CFO