DATA GOVERNANCE, RECONCILIATION AND REPORTING

Data control from source to reporting

Financial and regulatory processes rely on information from multiple systems, with different data models and levels of quality. ARENA helps normalise, validate and reconcile this information, maintaining traceability across its source, transformations and any discrepancies identified throughout the process. ARENA helps understand the impact, make the necessary decisions and carry the change through to operations, combining financial expertise, technological insight and experience in critical environments.

QUALITY, CONTROL AND DATA TRACEABILITY

A rejection or discrepancy may be caused by master data, a transformation rule, an incorrect identifier or an inconsistency between systems. If the correction is made only in the final file, the root cause remains in the process and may reappear in subsequent submissions.
REPORTING DEPENDS ON SOURCE DATA
At ARENA, we establish controls over data from the moment it is captured through to its operational or regulatory use. This makes it possible to identify its origin, understand which rules have been applied, locate discrepancies and maintain traceability of any corrections made.
VALIDATION AND RECONCILIATION THROUGHOUT THE ENTIRE LIFECYCLE
HOW WE CAN HELP

Source data ingestion and consolidation

Data normalisation

Identifier management

Completeness and consistency checks

Functional and technical validations

Reconciliation across sources and results

Discrepancy and rejection management

Reprocessing and corrections

Regulatory format generation

Data quality metrics

Data lineage and traceability

Audit evidence

BENEFITS FOR YOUR INSTITUTION

Greater control over data quality

Helps identify the fields, sources and rules behind recurring errors or discrepancies.

More structured reconciliation

Connects received, transformed and reported data to identify discrepancies.

Better correction management

Helps identify where adjustments should be made while maintaining traceability of changes.

Evidence across the data lifecycle

Provides traceability across sources, transformations, validations and actions taken.
EXPERIENCIA EN LOS CAMBIOS QUE ESTÁN TRANSFORMANDO EL SECTOR

EMIR

Trade data, identifiers, lifecycle, XML, pairing, matching and breaks.

Payments

Statuses, rejections and reconciliation across systems.

ISO 20022

Structured data, formats and master data quality.

Corporate actions

Positions, events, entitlements and instructions.

T+1

Static data, settlement status, positions and causes of fails.

HOW WE WORK TOGETHER

We analyse the data sources

Data, ownership, frequencies and dependencies.

We define controls

Validations, rules and reconciliation criteria.

We implement the process

Transformation, error management and evidence.

We analyse recurring discrepancies

Metrics, root causes and source remediation.

CONTACT US

Where are the main discrepancies in your data occurring today?

We can review the entire lifecycle, from source data to reporting, to identify controls, reconciliation points and where corrections should be made.