Neomir
Data Analytics

Trust your data for confident decisions

Stop second-guessing your dashboards. Get visibility into data freshness and quality so you can analyze with confidence and deliver insights stakeholders trust.

Analytics data quality challenges

The obstacles analysts face in trusting their data.

Dashboards showing different numbers than source systems, eroding stakeholder trust

No visibility into data freshness, leading to decisions based on stale data

Spending too much time validating data instead of analyzing it

Metric definitions inconsistent across different reports and tools

Unable to confidently answer 'Can I trust this data?' for any given dataset

Where Neomir fits in your analytics stack

Neomir adds quality visibility to your analytical data.

Analytics Tools
Data Warehouse
Semantic Layer
BI Tools
ML Pipelines

Neomir

Quality Layer

Outputs
Data Freshness
Quality Scores
Anomaly Alerts

Analytics capabilities mapping

How Neomir features help you trust your analytical data.

Challenge

No way to know if dashboard data is fresh or stale

Data Quality Monitoring

Solution

Real-time data freshness monitoring with SLA tracking and staleness alerts

Challenge

Dashboard totals don't match source system reports

Cross-System Validations

Solution

Cross-system reconciliation validates that analytical data matches operational sources

Challenge

Anomalies in metrics are discovered only during business reviews

Neomir AI

Solution

AI-powered anomaly detection catches unusual patterns before they reach dashboards

Challenge

Business metric definitions drift between different reporting tools

Custom Rules

Solution

Custom validation rules enforce metric definitions and business logic consistency

Analyst-friendly features

Built-in capabilities for data certification and freshness visibility.

Data Certification

Certify datasets as 'trusted' with visible quality badges in your BI tools.

Quality Documentation

Auto-generated data quality documentation for every dataset analysts use.

Freshness Indicators

Clear visibility into when data was last updated and whether it meets SLAs.

Issue Transparency

When data quality issues exist, analysts know about them before making decisions.

Analytics tool integrations

Works with your existing BI and analytics platforms.

SAP

Validate master data and transactional data feeding your analytics

Salesforce

Ensure CRM data quality for accurate sales and marketing analytics

Oracle

Monitor Oracle ERP and database data powering business intelligence

PostgreSQL

Validate analytical tables and reporting data in PostgreSQL

SQL Server

Monitor data quality across your SQL Server data warehouse

Custom Database

Connect any JDBC/ODBC database feeding your analytics layer

Analyze with confidence

See how Neomir can help you trust your analytical data and deliver insights stakeholders believe.