Data & Analytics Services

Transform your data into competitive advantage with AI-powered analytics. Enterprise-grade BigQuery solutions at 50% lower cost.

AI-Native Data Engineering

We use AI to automate data pipeline creation, schema design, and optimization—cutting implementation time by 40%.

AI-Powered Data Modeling

Our AI analyzes your source systems and generates optimized BigQuery schemas, partitioning strategies, and transformation logic automatically.

Intelligent Cost Optimization

ML models continuously analyze query patterns and automatically optimize partitioning, clustering, and materialized views to reduce costs by 30-50%.

Automated Pipeline Generation

AI generates production-ready Dataflow and Cloud Composer pipelines from your requirements, reducing development time from weeks to days.

Our AI-Native Methodology

From data strategy to production analytics—powered by AI automation at every step.

1

Discover & Design

AI-powered data discovery, profiling, and architecture design.

Automated data source discovery
AI-generated schema design
Data quality assessment
Cost modeling & TCO analysis
Typical Timeline
1-2 weeks
(vs 4-6 weeks traditional)
2

Build & Deploy

Automated pipeline creation, testing, and deployment to production.

AI-generated ETL/ELT pipelines
BigQuery dataset creation
Automated data validation
CI/CD pipeline setup
Typical Timeline
3-6 weeks
(vs 12-16 weeks traditional)
3

Optimize & Scale

AI-powered continuous optimization and advanced analytics enablement.

Query performance tuning
Cost optimization automation
Looker dashboard deployment
ML/AI model integration
Typical Timeline
2-4 weeks
(vs 6-8 weeks traditional)

Enterprise Data Services

Comprehensive data solutions for every enterprise use case.

BigQuery Data Warehouse

6-12 weeksEnterprise-grade

Modernize legacy data warehouses (Oracle, Teradata, SQL Server) to BigQuery with AI-powered migration and optimization.

Automated schema conversion
Petabyte-scale data migration
Query performance optimization
Cost governance & FinOps
Typical Cost Savings
60-80%
vs traditional data warehouse licensing

Real-Time Analytics

4-8 weeksStreaming

Build real-time data pipelines with Pub/Sub, Dataflow, and BigQuery for instant insights and operational intelligence.

Event streaming architecture
Real-time dashboards (Looker)
Anomaly detection alerts
Auto-scaling pipelines
Data Freshness
<1 second
From event to insight

Data Lake & Lakehouse

8-16 weeksUnified Platform

Build modern data lakehouses combining Cloud Storage, BigQuery, and Dataplex for unified analytics and ML workloads.

Dataplex data governance
Multi-format support (Parquet, Avro, ORC)
Data catalog & lineage
Security & compliance controls
Storage Cost
$0.02/GB
vs $23/TB traditional DW

Looker BI & Analytics

4-8 weeksSelf-Service

Deploy enterprise-grade Looker dashboards with AI-assisted development, governance, and embedded analytics capabilities.

LookML model development
Pre-built industry dashboards
Embedded analytics integration
AI-powered insights
Dashboard Development Time
70% faster
With AI-assisted LookML generation

Data Governance & Security

OngoingCompliance

Implement enterprise data governance with Dataplex, DLP, and Policy Tag Manager for compliance and security.

PII detection & masking
Row/column-level security
Audit logging & compliance reports
Data lineage tracking
Compliance Standards
GDPR, HIPAA, SOC 2
Built-in compliance controls

ML/AI on Data

6-12 weeksAdvanced Analytics

Build predictive models and ML pipelines with BigQuery ML, Vertex AI, and AutoML for data-driven insights.

BigQuery ML model training
Vertex AI pipeline integration
Forecast & anomaly detection
Model deployment & monitoring
Model Development Speed
10x faster
With BigQuery ML vs custom code

Enterprise Data Platform

Built on Google Cloud's industry-leading data and analytics services.

BigQuery

Serverless data warehouse

Dataflow

Stream & batch processing

Looker

Business intelligence

Dataplex

Data governance

BigQuery ML

In-database ML

DLP API

Data loss prevention

Pub/Sub

Event streaming

Cloud Storage

Object storage & data lake

Typical BigQuery Migration ROI

1

60-80% Cost Reduction

Eliminate expensive data warehouse licenses and hardware. Pay only for queries and storage.

2

10x Query Performance

Queries that took hours now run in seconds with BigQuery's distributed architecture.

3

40% Faster Implementation

AI-powered migration tools reduce implementation from 12 months to 7 months on average.

Example: 100TB Data Warehouse
$2.1M Saved
Over 3 years
Traditional DW (Oracle)$3.6M
BigQuery on GCP$1.5M
Total Savings$2.1M
Calculate Your Savings

Ready to Modernize Your Data Platform?

Get a free data assessment and TCO analysis. We'll show you exactly how much you can save.

Delivered in 1 week • No commitment • Detailed migration roadmap included