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Data Intelligence Services

Build a Solid Foundation for Your Data Strategy

We design, build, and manage robust data infrastructure and Customer Data Platforms (CDPs) to unify customer data, enable advanced analytics, and power personalized experiences.

Diagram showing data flowing into a central CDP and out to various tools
TECHNOLOGY STACK

Technologies We Work With

Expertise across the modern data stack and leading CDP platforms.

Seg

Segment

mPa

mParticle

Tea

Tealium

Sno

Snowflake

Big

BigQuery

Red

Redshift

Dat

Databricks

Fiv

Fivetran

dbt

dbt

Air

Airflow

OUR PROCESS

Our Data Infrastructure Methodology

A structured approach to designing and building scalable data foundations.

1

Discovery & Requirements Gathering

Audit existing data sources, infrastructure, and tools. Define business requirements, use cases, and success metrics for the data platform.

2

Architecture Design & Technology Selection

Design a scalable and secure data architecture (warehouse, lakehouse, CDP). Select appropriate technologies based on requirements and budget.

3

Implementation & Integration

Build and configure the data infrastructure, set up ETL/ELT pipelines, integrate data sources, and implement the CDP.

4

Validation, Governance & Rollout

Validate data accuracy and integrity, establish data governance policies, and plan the rollout to end-users and downstream systems.