Unleash Data Confidence with Smart Reconciliation

Fuel high-stakes decisions with trusted data at scale

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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

Ankit B.

Senior Technical Lead - Enterprise

We are using power of Acceldata for our data quality issues. Its integration is simple and we are able to identify various data quality issues quite easily.

Timothy C.

Senior Expert of Data Governance - Enterprise

Acceldata has opened quite a few doors for us at Nestle. We have started with the Data Reliability features of the product and moved into the Cloud/Cost Optimization aspects.

Jayanth Reddy G.

Senior DevOps Engineer - Enterprise

This combination of usability, seamless integration, and robust features makes Acceldata a powerful tool for enhancing data reliability and performance.

Mark. H

Manager Data Warehouse Operations - Enterprise

Onboarding our data into Acceldata was very quick and simple. Within 24 hours all production data was loaded and trends were easily established.

Chidambararajan M.

IT Consultant - Enterprise

Acceldata is giving the better quality checks for the data sources and the maintenance of the environment is good.

Prashanth. S

Director, Platform Engineering and Data Operations - Enterprise

Acceldata has been instrumental in enhancing our data platform management capabilities. Their solutions not only ensure platform stability but also drive significant cost savings.

Stop Revenue Loss and Avoid Compliance Risks

Eliminate costs and risks of inconsistent data

Prevent Reporting Delays from Data Inconsistencies

Data mismatches cost companies millions by delaying reports and reducing analytics accuracy by 30%.

Escape Costly, Manual Reconciliation Drains

Manual reconciliation can consume 2.25 million minutes annually—equal to 20  full-time employees.

Protect Compliance by Closing Data Gaps

Unresolved discrepancies expose organizations to penalties, with 60% of users doubting data reliability.

Drive Results with Reliable, Consistent Data

Ensure Revenue Integrity, Efficiency, and Compliance

Safeguard Revenue Integrity with Consistent, Accurate Data

Enable confident, revenue-driving decisions with high-quality, audit-ready data.

Instant Error Detection

Identifies data issues on the spot, cutting reporting delays by 50%.

Smart Matching with 98% Accuracy

Aligns critical data across sources, improving ARR forecasts and ensuring reliable financial reporting.

Transparent Audit Trails

Provides clear data lineage, instilling trust in financial reports.

Optimize Efficiency with Scalable, Automated Reconciliation

Reduce manual reconciliation work by up to 99.6%, freeing resources for high-impact initiatives.

Bulk Policy Creation at Scale

Reduces setup time by 90%, handling high-volume data effortlessly.

Cross-Platform Integration

Seamlessly connects with ERP, CRM, finance, and cloud systems to streamline workflows and reduce costs.

Real-Time Alerts for Quick Action

Proactively notifies teams to minimize delays and operational strain.

Ensure Compliance with Continuous Monitoring and Validation

Reduce compliance risks by up to 30% with audit-ready, policy-based data reconciliation.

Automated Compliance Checks

Regularly enforces data integrity and regulatory standards.

Transformation Validation Across Formats

Maintains data accuracy during format and schema updates, essential for compliance.

Adaptable Monitoring for Complex Environments

Scales with high-volume data, providing regulatory alignment across all systems.

Empowering Every Team with Data Precision

Chief Data Officer (CDO)

Build data trust for informed decisions, risk management, and strategic innovation.

Data Engineers

Achieve scalable, policy-based reconciliation for consistent data across complex environments.

IT Operations Managers

Maintain data integrity and prevent downtime with continuous monitoring and alerts.

Finance Teams & FinOps

Reduce manual reconciliation, ensuring compliance and enhancing financial forecasting accuracy.

Data Analysts & BI Teams

Gain consistent, reliable data for actionable insights, supporting BI and data analytics.

AI-Powered Data Consistency for Every Industry

Data Precision Across All Environments

On-Premises to Cloud Migration

Validate data accuracy during legacy-to-cloud transitions without manual effort.

Hybrid Cloud Consistency

Maintain data alignment across on-premises and cloud systems, preventing data gaps.

Cloud-to-Cloud Migration

Automate data reconciliation between providers to reduce errors and ensure consistency.

Intra-Environment Reconciliation

Secure data accuracy within environments like data lakes, supporting compliance and insights.

FAQs

How does Acceldata ensure data accuracy across systems?

Acceldata uses smart matching with 98% accuracy to align data across systems. Features like transformation validation and schema reconciliation maintain consistency through schema changes.

Can Acceldata manage complex data environments like hybrid or multi-cloud setups?

Yes, Acceldata supports hybrid and multi-cloud configurations, including nested data structure and upsert handling, to manage complex data without big data infrastructure needs.

What are the benefits of automated reconciliation with Acceldata?

Automation reduces manual tasks by up to 99.6%, enabling quick issue resolution with real-time alerts so teams can stay focused on strategic priorities.

How quickly can Acceldata detect and resolve data discrepancies?

Acceldata’s near real-time monitoring and AI-driven recommendations enable fast discrepancy detection and resolution across high-velocity environments.

What reconciliation policies does Acceldata offer?

Acceldata provides no-code, low-code, and full-code policy-based options such as bulk policy creation and row count validation, supporting multi-source reconciliation at scale.

How does Acceldata support compliance and audit readiness?

Policy-driven monitoring, automated alerts, and audit-ready trails help ensure regulatory compliance while minimizing risk of data discrepancies.

How does Acceldata's data observability stand out?

Acceldata’s comprehensive observability spans five pillars—data quality, data pipeline, data infrastructure, data user, and data cost—providing complete visibility and control. This AI-powered approach improves data efficiency, accuracy, and ROI.

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