Enterprise Data Management Platform

Manage Enterprise Data Seamlessly. Turn fragmented, distributed data into unified, actionable datasets that flow reliably to dashboards, AI models, and operational systems.

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Fragmented data

Enterprise data spans hundreds of systems—CRMs, ERPs, data lakes, APIs, SaaS tools. Without central governance, context and accuracy are lost before teams can act.

Slow insights and decisions

Data often arrives at analytics or operational tools late, after conditions have changed. Latency from creation to decision can range from 12 hours to several days.

Low-quality, inconsistent datasets

Duplicates, gaps, and conflicting formats degrade analytics, AI, and reporting workflows. Teams spend 25–50% of their time fixing upstream errors.

Manual management

Data pipelines and integrations rely on fragile scripts and custom workflows. Engineers spend 30–60% of their time maintaining processes rather than driving business impact.

How Expanso manages data

Expanso centralizes, validates, and governs all enterprise data upstream, ensuring consistent, actionable datasets reach the systems that rely on them.

Connect where data lives

Integrate with CRMs, ERPs, APIs, databases, SaaS tools, and IoT systems. 100+ supported sources and destinations. No custom scripts. One configuration across environments.

Clean, normalize, and validate at the source

Data is deduplicated, standardized, enriched, and validated before movement. Upstream enforcement reduces downstream prep by 50–70%.

Govern by default

Policies for PII, GDPR, HIPAA, financial, and operational standards are applied at the source. Lineage and compliance are preserved across thousands of streams.

Distribute data in real time

Clean, unified datasets flow directly to dashboards, AI pipelines, BI tools, and operational systems. Reduce unnecessary data transfers by 60–85%.

Monitor continuously

All pipelines, transformations, and deliveries are visible in one system. Execution includes retry, buffering, and recovery without manual intervention.

Expanso vs Traditional Solutions

Traditional Stack

The Expanso Advantage

Data Noise Reduction

Minimal or Manual Filtering

Built-in, Automated Filtering

Time to Insights

Slow

Real-Time

Stack Flexibility

Rigid, Vendor-Locked

Flexible, works with nearly every vendor

Cost Efficiency

Increases rapidly with the amount of stored data

Up to 80% Cost Reduction

Data Noise Reduction

Traditional Stack:

Minimal or Manual Filtering

Expanso:

Built-in, Automated Filtering

Time to Insights

Traditional Stack:

Slow

Expanso:

Real-Time

Stack Flexibility

Traditional Stack:

Rigid, Vendor-Locked

Expanso:

Flexible, works with nearly every vendor

Cost Efficiency

Traditional Stack:

Increases rapidly with the amount of stored data

Expanso:

Up to 80% Cost Reduction

Why Expanso

Where Expanso Helps

The Expanso Advantage

Deploy anywhere

SaaS, on-prem, edge, or hybrid environments.

Broad integrations

Works with existing platforms without vendor lock-in.

Policy-driven data management

Rules replace scripts, scaling governance without added complexity.

Built to scale

From dozens to thousands of sources without increasing team size.

Outcomes from Your Enterprise Data Management Solution

Benefit

Faster access to unified, validated datasets across analytics, dashboards, and operational systems
Reduction in duplicate, incomplete, or inconsistent records, improving accuracy for AI and reporting
Trusted, governed, and standardized data ready for decision-making, audits, and compliance
Less time spent on manual pipelines, reconciliation, and auditing — freeing teams for high-value work
Estimated annual cost savings from reduced cloud storage, redundant processing, and operational inefficiencies

What You Get

Accelerate research, care, and ops decisions.
Run ML pipelines without infrastructure strain.
Focus only on what's useful - skip the rest.

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Real-World Impact

Professional Sports

Breaking Down Data Silos

A North American sports league integrated player stats, ticketing, and fan engagement data across all stadiums. Expanso centralized and validated data locally, delivering a single trusted feed for dashboards, AI analytics, and mobile apps.

Impact:

23 stadiums deployed
$1.2M annual operational and cloud savings
<1% errors in dashboards and reports
6 weeks to first stadium live

Automotive – Cybersecurity

From Fragmented to Governed

A European OEM harmonized vehicle telemetry, maintenance logs, and compliance data across 15K vehicles. Expanso ensured consistent schema, validated records, and upstream governance before feeding operational systems.

Impact:

15K vehicles onboarded in 8 weeks, full fleet in 6 months
94% reduction in duplicates and inconsistent records
$11.4M projected annual savings in cloud and operational costs
Operational reporting accelerated from weekly to daily

Financial Services – Observability

Streamlined Compliance and Reporting

A top-25 US regional bank consolidated 247 data sources, including transactions, logs, and compliance feeds. Expanso validated, masked, and normalized all data before integration into reporting systems.

Impact:

247 sources consolidated in 9 weeks
63% reduction in unnecessary data movement (14.3 TB → 5.2 TB/day)
$2.3M potential annual savings in observability and compliance
4× faster audit and reporting cycles

Environmental Services – Drone Imagery

High-Volume Data, Managed Locally

A North American forestry company integrated sensor, drone, and field office datasets. Expanso normalized and governed all incoming feeds, sending only actionable outputs to analytics and operations.

Impact:

8 field offices live in 6 weeks
$1.36M annual cloud cost reduction (89% savings)
Delivery time reduced from 48–72 hrs to 4 hrs
99% of data remains local, validated, and compliant

Frequently Asked Questions

What is an Enterprise Data Management Platform?

A platform that centralizes, validates, and governs data across all enterprise systems to ensure actionable, compliant, and reliable datasets.

How does real-time data management work?

Expanso standardizes, validates, and routes data upstream, delivering consistent, ready-to-use datasets instantly.

How is Expanso different from ETL or reverse ETL?

Expanso manages data upstream at the source, enforcing governance, quality, and consistency before it reaches downstream tools.

What data sources can Expanso connect to?

CRMs, ERPs, databases, APIs, SaaS, IoT, and 100+ other sources—no custom scripts required.

Can Expanso run in cloud, on-prem, or hybrid?

Yes. Deploy SaaS, on-prem, edge, or hybrid, with consistent governance policies applied everywhere.

How does Expanso ensure data security?

Expanso enforces PII, HIPAA, GDPR, financial, and operational policies at the source, keeping data compliant and secure.