End Data Mismatches
With data reconciliation done right
A tool designed to deliver
Unique capabilities that put your data to work for you
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Unlike fragmented tools or heavy custom scripts, 42-DS Reconciliation Tool provides a single, full-cycle solution — from discovery to correction.
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Our system uses machine learning to automate analysis, spot anomalies, and prioritize corrections, reducing manual triage and accelerating resolution.
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We bring a library of reusable business objects, reports, and rules tailored to telecom and enterprise operations — minimizing setup time and maximizing relevance.
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We operate at the business-object level: customers, products, billing items, services. This ensures context-aware reconciliation that aligns with how your business actually works.
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The platform is cloud-native, low-code, and production-safe. Deploy it quickly, scale elastically, and reconcile at enterprise volume without impacting live systems.
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From analysts to executives, our reporting framework delivers clear, actionable insights. Dashboards are customizable to your team’s needs.
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See how 42-DS can help you reconcile the right way. Faster, smarter, and with full control.
Inconsistent data costs enterprises up to 25% of their revenue.
Left unaddressed, mismatches lead to silent leakage, reporting failures, and growing friction between teams and partners.
Billing mismatches and silent leakage in OSS/BSS
When subscriber, service, and billing systems fall out of sync, the financial impact can be significant. In complex OSS and BSS environments, these mismatches often go unnoticed until revenue reports expose the damage. By then, recovery is expensive and slow.
Post-modernization inconsistencies between legacy and new systems
Replacing or upgrading core systems often leaves data partially mapped, duplicated, or misaligned. These gaps cause process failures, inaccurate reporting, and customer-impacting issues. Manual validation can’t keep up and slows down your delivery timeline.
Disputes in revenue-sharing partnerships
Incentive models built on shared data are only as good as the trust behind them. When your partners rely on different logic, systems, or datasets, mismatches are inevitable. This leads to payment delays, drawn-out reconciliations, and unnecessary friction between teams.
This is what clean, trusted data actually delivers for your teams.
Consistent, reconciled data across legacy, cloud, and partner systems
Fewer disputes, faster settlements, and more accurate partner payments
Post-migration stability and assurance
Fewer support tickets due to data errors
Stronger billing accuracy and reduced revenue leakage
Significant reduction in mismatch manual analysis time
Transparent, trusted insights for both technical and business teams
