What Is Data Alignment?
Data alignment ensures every piece of data has the right context, quality, and lineage before it enters your platforms. Without alignment, data arrives incomplete, untagged, and unusable for AI.
Add context, ensure quality, and track lineage from the moment data is created.
Data alignment ensures every piece of data has the right context, quality, and lineage before it enters your platforms. Without alignment, data arrives incomplete, untagged, and unusable for AI.
How Expanso implements each Gartner capability
Measure and ensure data quality metrics at the source.
Our 'shift-left' cleaning, filtering, and schema analysis ensures data quality before it hits your warehouse, not after.
Add context, meaning, and metadata to make data understandable.
Add context and tags to data streams as they're created. Convert logs to JSON, enrich events with metadata - make your data usable for AI.
Track data's origin, transformations, and journey.
Create an immutable audit log and track data lineage from the moment of creation, not just from when it lands in S3.
Logs, events, and telemetry arrive as raw strings with no semantic meaning. Data teams spend weeks reverse-engineering what fields mean.
Add semantic tags, business context, and metadata at creation. Data arrives self-describing and immediately usable.
Bad data (nulls, duplicates, wrong types) reaches warehouse. Data teams spend 60% of time cleaning retroactively.
Validate schemas, detect anomalies, and filter bad data Only quality data reaches platforms.
Data lineage starts when data lands in S3 or warehouse. Origin and early transformations are lost.
Track every transformation from origination. Complete lineage from source device to final destination.
Lightweight agents run on source devices, gateways, or infrastructure - wherever data is created.
Define quality checks, semantic enrichment, and lineage tracking once. Apply everywhere automatically.
Every filter, transform, and enrichment is logged. Complete audit trail from creation to destination.
Production line telemetry arrives with machine IDs, timestamps, and operational context. No manual tagging needed.
Track patient data from medical device → gateway → secure archive. Prove compliance to auditors.
Enrich transaction logs with customer IDs, risk scores, and regulatory flags at origination.