3.2×
Faster Business Decisions
organisations with modern data platforms vs. those relying on manual reporting and spreadsheets
85%
Reduction in Report Time
automated pipelines and BI dashboards vs. manual data extraction and preparation cycles
60%
Lower Data Infrastructure Costs
cloud-native data platforms vs. on-premises warehouse and ETL infrastructure maintenance
What We Do

Raw data is noise.
Governed data is intelligence.

Transform raw data into strategic insight with Data Engineering & Advanced Analytics from Crux. We help Saudi enterprises build modern data platforms, implement real-time analytics pipelines, and deploy predictive models that strengthen decision-making across every business unit.

From data ingestion and governance to machine learning and visualisation, our solutions empower leaders with actionable intelligence — turning what your organisation already has into a sustainable competitive advantage.

crux — data-platform — pipeline
~ crux-data ingest --source all-enterprise
✓ Connected: 14 sources — ERP, CRM, IoT, APIs
✓ Schema validated: 847 tables · 0 conflicts
✓ Data quality score: 94.7% (threshold: 90%)
~ crux-data transform --pipeline realtime
✓ Streaming: 2.4M events/hr — Kafka live
✓ dbt models: 234 transformed · 0 failed
~ crux-data predict --model churn-v3
Model accuracy: 94.2% · AUC: 0.97 · LIVE
Core Capabilities

Data capabilities.
From pipeline to prediction.

Data Pipeline Design & Optimisation

We architect reliable, scalable data pipelines that move data from any source to any destination — with governance, quality, and observability built in from the start.

  • Event-driven ingestion — Kafka, Kinesis, and Pub/Sub streaming architectures for real-time data flows at enterprise volume.
  • Batch & micro-batch ETL — Apache Spark and dbt-powered transformation pipelines with full lineage and version control.
  • Data quality frameworks — Automated validation, anomaly detection, and alerting that catch bad data before it reaches decision-makers.
  • Real-time data sync — Change data capture (CDC) patterns that keep operational and analytical stores in continuous sync.
01
Pipeline Status
Ingestion Lag
< 200ms avg · 99.8% SLA
Transform SLA
dbt runs · 6 min avg
Daily Volume
2.8B events processed
Quality Score
94.7% clean records

Modern Data Platform & Warehouse Architecture

We design and build cloud-native data platforms — data lakes, warehouses, and lakehouses — that scale elastically and serve every analytics consumer from BI tools to ML models.

  • Lakehouse architecture — Delta Lake and Apache Iceberg-based platforms serving both analytical and ML workloads from a single data store.
  • Data mesh implementation — Domain-oriented data ownership with self-serve infrastructure — giving business units autonomy without losing governance.
  • Query optimisation — Partitioning, clustering, and materialisation strategies that reduce query costs by 60–80%.
  • Multi-cloud data platforms — Snowflake, BigQuery, Redshift, and Databricks implementations with vendor-neutral design principles.
02
Data Platform
Data Lake
47TB · Delta format · ACID transactions
Data Warehouse
Snowflake · 380 tables · KSA region
Feature Store
Feast · 124 features · real-time serving
BI Layer
Power BI · 94 dashboards · 847 daily users

AI/ML Model Deployment & MLOps

We build the end-to-end machine learning lifecycle infrastructure — from feature engineering to model deployment, monitoring, and continuous retraining in production.

  • Feature store design — Centralised, reusable feature engineering that eliminates duplication and ensures consistency across models.
  • Model training pipelines — Automated, reproducible training workflows with experiment tracking and model versioning via MLflow.
  • Real-time model serving — Sub-50ms inference APIs using managed endpoints for production-grade model serving.
  • Drift detection & retraining — Automated performance tracking and distribution shift alerts that trigger retraining when models degrade.
03
Model Registry
Churn Prediction v3
94.2% accuracy · 2.1M predictions/day
Credit Scoring v2
91.8% AUC · 340K calls/day
Demand Forecast v4
MAPE 4.2% · hourly refresh
Fraud Detection v6
99.1% recall · <50ms latency

Business Intelligence & Self-Service Analytics

We build analytics experiences that executives actually use — fast, interactive dashboards with embedded AI insights that surface the signals business leaders need for confident decisions.

  • Executive dashboard design — KPI-focused dashboards for Arabic and English executive audiences with mobile-first responsive design.
  • Self-service analytics — Power BI and Looker implementations that give business teams data access without engineering bottlenecks.
  • Natural language querying — AI-powered query interfaces that let non-technical users ask data questions in Arabic or English.
  • Embedded analytics — Dashboards embedded directly into operational applications for in-context decision support.
04
Analytics Adoption
Active Dashboards
94 · 847 daily users
Avg Query Time
1.4s (↓ from 45s legacy)
Self-service Rate
78% queries — no code needed
Report Cycle
Daily live (was weekly manual)

Data Governance & Quality Frameworks

We implement the policies, controls, and tooling that make your data trustworthy — enabling confident AI adoption and full regulatory compliance across the enterprise.

  • Data catalogue & lineage — Apache Atlas and DataHub implementations giving every data asset an owner, definition, and full lineage trail.
  • PDPL data compliance — Data classification, PII masking, consent management, and access controls aligned with Saudi data protection law.
  • Master data management — Single source of truth for critical entities — customers, products, accounts — eliminating inconsistency that undermines analytics.
  • Data quality scorecards — Automated profiling and quality metrics visible to data owners and reported to governance committees.
05
Governance Dashboard
Assets Catalogued
4,847 of 4,847 · 100%
PII Fields Masked
1,247 fields · PDPL compliant
Data Owners Assigned
847 datasets · all assigned
Lineage Coverage
100% critical path traced
How We Deliver

From raw data to live intelligence.

A disciplined engagement that moves from data discovery through to production-grade analytics and predictive models — with quality and governance at every stage.

01
Discover & Assess
Catalogue your data estate, assess quality and maturity, and define the platform architecture and governance model.
Data CatalogueQuality AssessmentPlatform DesignGovernance Blueprint
02
Architect & Build
Implement data platform infrastructure — ingestion, storage, transformation, and serving layers — in cloud-native environments.
Pipeline BuildWarehouse SetupData LakeAPI Layer
03
Govern & Qualify
Apply quality rules, data contracts, access controls, and PDPL compliance frameworks across all data assets.
Quality RulesAccess ControlsPDPL ComplianceData Contracts
04
Model & Predict
Train and deploy ML models on governed, high-quality data with full MLOps lifecycle management.
Feature EngineeringModel TrainingDeploymentMonitoring
05
Visualise & Activate
Build BI dashboards, self-service analytics, and embedded data experiences that activate intelligence across the business.
Dashboard BuildSelf-Service BIEmbedded AnalyticsAdoption Training
Client Outcome
"Crux built a data platform in five months that replaced 14 disconnected reporting systems. Leadership went from waiting 3 days for weekly reports to accessing live KPI dashboards. AI-driven churn prediction alone saved us SAR 12M in the first year."
CD
Chief Data Officer
Saudi Retail Banking Group · Riyadh
SAR 12M
First-year savings from AI churn prediction
5 mo
Data platform replacing 14 legacy reporting systems
Live
KPI dashboards replacing weekly manual report cycle
94.2%
Production ML model accuracy on churn prediction
Technology Stack — Best-in-class tools · No vendor lock-in
Apache Kafka Apache Spark dbt Snowflake BigQuery Databricks Delta Lake Airflow MLflow Feast Power BI Looker Great Expectations Terraform Flink Iceberg DataHub Triton SageMaker Redshift Apache Kafka Apache Spark dbt Snowflake BigQuery Databricks Delta Lake Airflow MLflow Feast Power BI Looker Great Expectations Terraform Flink Iceberg DataHub Triton SageMaker Redshift

Extend your data capability.

// ready for data intelligence

Turn enterprise data into
your competitive edge.

Modern pipelines. Real-time intelligence. Predictive models that compound in value. Built for Saudi Arabia's most data-rich, compliance-sensitive enterprise environments.