Data Services
Data services that turn complexity into clarity. Build trusted data foundations and transform them into actionable analytics and AI.
Data services that turn complexity into clarity. Build trusted data foundations and transform them into actionable analytics and AI.
Build reliable data foundations that scale
Learn MoreTurn trusted data into confident decisions
Learn MoreFrom models to production with MLOps
Learn MoreEstablish single source of truth
Learn MoreMake data trust measurable and continuous
Learn MoreGovernance that accelerates analytics and AI
Learn MoreASTUS Technologies designs and delivers modern data engineering - pipelines, integrations, and platform modernization - so your teams can trust the data powering analytics, operations, and AI.
Automated batch/stream ingestion, transformations, orchestration, and reusable frameworks.
Lakehouse/warehouse modernization, cloud migrations, and performance/cost tuning.
Dimensional/Data Vault/domain models, curated layers, and semantic-ready structures.
Access controls, logging, lineage readiness, and production-grade monitoring.
ASTUS builds analytics that are consistent, actionable, and adopted - aligned to business outcomes with governed metrics and self-service capabilities.
Governed metrics, consistent definitions, and business-aligned KPI frameworks.
Dashboard development, report automation, and visualization best practices.
Automated insights, anomaly detection, and proactive alerting.
Empower business users with governed, self-service analytics capabilities.
ASTUS builds machine learning solutions that run in production - with feature engineering, MLOps, monitoring, and full lifecycle management.
Feature stores, feature pipelines, and reusable feature frameworks for ML.
Custom ML models, algorithm selection, training, and validation.
Model deployment, A/B testing, drift detection, and production monitoring.
Model versioning, retraining pipelines, and governance documentation.
ASTUS implements MDM solutions that actually work - with matching, merging, stewardship workflows, and golden records that power downstream analytics and operations.
Probabilistic and deterministic matching, survivorship rules, and deduplication.
Master hierarchies, relationship management, and authoritative data records.
Exception handling, approvals, and clear data ownership processes.
MDM hub integration and downstream distribution patterns.
ASTUS builds data quality programs that prevent issues early, monitor continuously, and assign clear ownership - reducing rework, reporting delays, and operational risk.
Discover gaps, quantify quality, and prioritize remediation.
Validity, completeness, accuracy, timeliness checks embedded in pipelines.
Scorecards, alerts, trend monitoring, and root-cause workflows.
Issue workflows, stewardship handoffs, and SLAs for resolution.
ASTUS helps organizations establish practical governance - ownership, standards, catalog/lineage, and controls - so data is discoverable, compliant, and trusted across the enterprise.
Roles, RACI, stewardship workflows, and governance cadences.
Discoverability, shared definitions, and audit-ready traceability.
Classification, retention, access controls, and privacy alignment.
Metric governance, model documentation support, and controls for usage.
We understand auditability, privacy, and risk controls - critical in regulated industries - without slowing delivery.
Outcome-driven methodology with quick wins and measurable milestones.
Align to business outcomes and define success metrics.
Design for scale, security, and governance from day one.
Build iteratively - delivering quick wins and measurable milestones.
Operationalize with documentation, training, and adoption support.
Book a discovery session to evaluate your data maturity and identify the fastest path to value.