BNM regulatory reporting places significant pressure on Malaysian banks to deliver accurate, timely and traceable submissions to Bank Negara Malaysia (BNM). However, many reporting processes still rely on spreadsheets, manual data extraction and repeated reconciliation across core banking, finance, risk and operational systems.
Alteryx One can help financial institutions modernise these processes through governed, repeatable workflows for data integration, preparation, validation and reporting. As a result, banks can reduce reliance on fragmented Excel-based activities, strengthen banking regulatory compliance and improve productivity across finance, risk and data teams.
Business Value of BNM Regulatory Reporting Automation
Faster Reporting Cycles
Automated workflows reduce repetitive preparation tasks and, therefore, help teams accelerate reporting turnaround times.
Improved Data Accuracy
In addition, built-in validation and reconciliation steps help teams identify inconsistencies before they submit a report.
Stronger Audit Traceability
Likewise, documented workflows give teams clearer evidence of data sources, transformations and review activities.
Greater Team Productivity
Consequently, teams can focus on exceptions and analysis instead of manual spreadsheet consolidation.
The Challenge of BNM Regulatory Reporting
BNM regulatory reporting requires banks and financial institutions to collect, prepare and reconcile information from multiple internal sources. Depending on the reporting requirement, relevant data may sit across core banking platforms, loan and deposit systems, customer information systems, general ledgers, risk applications, treasury platforms and locally maintained spreadsheets.
When these sources remain disconnected, reporting teams often export files manually, apply spreadsheet formulas, combine datasets and conduct reconciliations through email-based review cycles. Although this approach may feel familiar, it introduces operational challenges:
- Different systems may use inconsistent customer, account, product or organisational identifiers.
- Data extracts may arrive late or in varying formats.
- Spreadsheet logic can be difficult to standardise, test and trace.
- Reconciliations between operational data and finance records may require repeated manual investigation.
- Teams may discover exceptions close to reporting deadlines.
- Reporting knowledge can become concentrated with a small number of experienced employees.
These issues can delay reporting, increase rework and make audit preparation more difficult. Furthermore, as reporting volumes, data complexity and regulatory expectations evolve, manual processes may struggle to scale without adding operational risk.
For Malaysian banks, effective regulatory data management is not simply a technology concern. Instead, it is a business process, governance and accountability concern that affects finance, risk, compliance, operations and IT.
Automating BNM Regulatory Reporting with Alteryx One
Alteryx One provides a platform for preparing, combining, analysing and automating data workflows. In the context of regulatory reporting Malaysia, it can help teams replace fragmented, repetitive activities with standardised processes that are easier to manage, review and reuse.
The official Alteryx regulatory reporting use case describes how Alteryx One can support data preparation, reconciliation and automation activities. When a bank applies these capabilities within its own control framework, it can support a more reliable reporting operating model.
Integrate Data for BNM Regulatory Reporting
A reporting workflow often starts with data from multiple systems and file formats. Alteryx One can bring together data from approved sources, including databases, spreadsheets and other enterprise data environments.
Rather than asking analysts to download and merge files manually each cycle, teams can design workflows that apply consistent extraction and preparation logic. Consequently, the bank can assemble reporting datasets through a more repeatable process.
For example, a bank preparing an internal regulatory reporting pack may need to combine loan balances from a lending platform, customer classifications from a customer information system and financial balances from the general ledger. A governed workflow can then prepare these datasets using defined business rules and produce outputs for review by the responsible reporting team.
Standardise and Prepare Regulatory Data
Source data often needs substantial preparation before it can support a reporting requirement. Common tasks include correcting data types, handling missing values, standardising dates, mapping product codes, removing duplicates and aligning customer or account identifiers.
Alteryx One can automate many of these preparation activities through visual workflows. Therefore, teams can define transformation steps once, test them and apply them consistently in future reporting cycles.
For banking regulatory compliance, this approach can prove especially useful where teams repeat similar transformations across monthly, quarterly or ad hoc submissions. In addition, it reduces the risk that individual spreadsheet versions apply different logic to the same underlying information.
Build Validation Rules into Workflows
Data quality issues are easier to resolve when teams find them early. Instead of relying only on end-stage checks, Alteryx One workflows can include validation rules throughout the preparation process.
For instance, practical controls can include:
- Checking for missing mandatory fields.
- Identifying duplicate account or customer records.
- Testing whether values fall within defined business ranges.
- Comparing current-period figures with prior-period trends for review.
- Flagging records that do not match approved reference data.
- Confirming that totals reconcile to agreed control balances.
These checks do not replace a bank’s formal governance, review or approval responsibilities. However, they can help reporting teams identify exceptions earlier and direct attention towards records that require investigation.
Automate Reconciliation and Exception Detection
Reconciliation is often one of the most time-consuming elements of financial reporting automation. In particular, teams may need to compare granular operational balances against general ledger totals, validate report outputs against source systems or investigate unexplained differences between reporting periods.
With Alteryx One, organisations can build repeatable reconciliation logic that compares datasets, calculates variances and produces exception lists. As a result, teams gain a more structured approach than manually comparing spreadsheets or relying on separate analyst calculations.
A workflow could, for instance, compare aggregated deposit balances by product category against corresponding finance control totals. Where a variance exceeds a defined review threshold, the workflow can identify the relevant population for investigation. Analysts can then focus on material exceptions while retaining a record of the checks performed.
Create Audit-Ready Reporting Workflows
Regulatory reporting processes need more than accurate outputs. They also need evidence that shows how teams sourced, prepared, checked and approved information.
A well-designed Alteryx One workflow can document the flow of data from approved source extracts through transformation, validation and output generation. Moreover, when teams combine it with appropriate process ownership, access controls, documentation and review procedures, the workflow supports stronger audit traceability.
Banks can establish reusable workflow standards that define:
- Approved data sources and extract ownership.
- Transformation and mapping logic.
- Data quality and reconciliation controls.
- Exception management procedures.
- Output file structures and report preparation steps.
- Review, sign-off and change-management responsibilities.
Ultimately, this approach helps move reporting away from person-dependent spreadsheet practices towards a more governed operating model.
BNM Regulatory Reporting Readiness for Project STREAM
BNM Project STREAM signals a direction towards more automated and API-enabled regulatory data collection. While each institution must assess its own reporting obligations, systems and readiness, this direction reinforces the importance of accessible, reliable and well-governed data.
Banks that rely heavily on manual file assembly may find it harder to adapt when reporting processes require more frequent, structured or automated data exchange. Accordingly, banking data automation can help establish a stronger foundation by improving data preparation, reconciliation and control processes before submission.
Alteryx One can support this preparation by enabling teams to develop repeatable workflows that produce structured, validated datasets from fragmented internal systems. It does not imply official certification, endorsement or compliance with BNM requirements. Rather, it can form part of a bank’s broader programme to improve regulatory data quality, reporting process maturity and readiness for changing data collection approaches.
A Practical Malaysian Banking Scenario
Consider a hypothetical Malaysian bank preparing recurring BNM regulatory reporting submissions involving retail lending balances. The bank extracts data from the loan origination system, core banking platform, customer master data system and general ledger. However, each extract uses different formats, product classifications and account-level identifiers.
Traditionally, analysts may use several spreadsheets to clean data, apply mapping rules, aggregate balances and compare results with finance control totals. If an upstream extract changes format or a product mapping remains incomplete, teams may only find errors near the reporting deadline.
With an Alteryx One workflow, the bank could standardise the intake of approved extracts, apply defined mappings, validate required fields, reconcile totals and generate an exception report for unresolved records. The reporting team would still review outputs and complete required approvals; however, the workflow would automate and document more of the repeated preparation work.
Additionally, this model can support insurance and takaful organisations that manage regulatory, finance, actuarial or operational reporting processes across multiple platforms.
From Spreadsheet Dependency to Regulatory Data Management
Excel remains useful for analysis and review, but it can become a fragile foundation when it serves as the primary engine for high-volume, recurring BNM regulatory reporting. Problems arise when teams copy logic between files, cannot reproduce transformations or rely on individual knowledge for key controls.
A regulatory reporting automation programme should therefore focus on more than replacing a spreadsheet. Instead, it should establish a sustainable process that connects people, data, controls and technology.
Key design considerations include:
Define the Reporting Data Lineage
Teams should identify where each reportable field originates, how they transform it and who owns the relevant source data. As a result, clear lineage helps business users, IT teams and auditors understand how a report was produced.
Prioritise High-Impact Reporting Processes
A practical starting point is often a recurring report that requires substantial manual preparation, complex reconciliations or frequent exception handling. This approach allows teams to prove the operating model before they expand to additional reporting requirements.
Embed Business Rules and Controls
Finance, risk, compliance and data owners should agree business rules rather than leaving them embedded only in individual analyst workbooks. Subsequently, Alteryx One workflows can apply those rules consistently and highlight records requiring review.
Establish Change Management Practices
Regulatory requirements, source systems and internal policies can change. Therefore, banks need clear processes for updating workflow logic, testing changes, approving releases and maintaining documentation.
How ORTECH Supports BNM Regulatory Reporting
ORTECH is a Malaysian analytics engineering and implementation partner that helps financial institutions connect fragmented data, automate analytical processes and improve information quality. The focus is not simply on deploying a platform; instead, ORTECH designs reliable workflows that fit an institution’s reporting responsibilities, governance model and operating environment.
For BNM regulatory reporting initiatives, ORTECH can support banks and financial institutions through:
- Requirements assessment to identify manual reporting bottlenecks, source systems, controls and priority use cases.
- Solution design for data integration, transformation, validation, reconciliation and output workflows.
- Analytics engineering to develop maintainable Alteryx One workflows aligned with approved reporting logic.
- Data governance support, including workflow documentation, lineage considerations and operational control design.
- Implementation planning for testing, handover, change management and scalable deployment.
- Training and enablement for reporting, finance, risk, compliance and data teams.
- Adoption support that helps teams move from spreadsheet-dependent processes to repeatable automation practices.
As an Alteryx Malaysia partner, ORTECH helps organisations apply Alteryx One within practical business processes. For example, our data engineering services can help establish the reliable data foundations that reporting automation needs.
Expected Business Outcomes and KPIs
The results of any BNM regulatory reporting automation initiative depend on existing processes, data quality, system access, reporting scope and governance maturity. Accordingly, banks should assess improvements through agreed baseline measures rather than assume a fixed outcome.
Potential outcomes include faster preparation of recurring reports, less manual data handling, earlier identification of data quality issues, more consistent reconciliation processes and improved audit readiness.
Relevant KPIs may include:
- Reporting turnaround time from source data availability to the completed reporting pack.
- Hours spent on manual extraction, cleansing, consolidation and reconciliation.
- Number of data quality exceptions identified before final review.
- Number and age of unresolved reconciliation items.
- Frequency of late-stage reporting adjustments.
- Time required to respond to audit or internal review queries.
- Percentage of workflow steps completed through documented, repeatable processes.
- Number of spreadsheet-based handoffs removed or reduced from the reporting process.
By measuring these indicators before and after implementation, banks can make informed decisions about where to expand BNM regulatory reporting automation and where they need further data governance work.
Talk to ORTECH
Modernising BNM regulatory reporting requires a practical balance of banking knowledge, data engineering, workflow design and governance. ORTECH can help your team assess manual reporting pain points and develop a scalable Alteryx One approach for regulatory data management, reconciliation and reporting automation.
To begin, contact ORTECH to discuss your regulatory reporting requirements or request a practical demonstration.
