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ZAYAZ Integration Brief — SIE

How ZAYAZ integrates with the Swedish Standard Import and Export format

Overview

ZAYAZ integrates with SIE to provide a standardized route from Swedish accounting systems into the ZAYAZ sustainability data environment.

SIE — Standard Import and Export — is an open Swedish standard for transferring accounting information between financial systems. Because the format is supported across a broad range of Swedish accounting applications, it provides organizations with a practical way to use existing financial data as a starting point for ESG analysis without first undertaking a large system-integration project.

The integration enables ZAYAZ to use accounting records as part of a broader sustainability data model.

SIE data can support:

  • financial transaction analysis;
  • expenditure classification;
  • emissions screening;
  • Scope 3 analysis;
  • supplier prioritization;
  • ESG data reconciliation;
  • VSME and ESRS data preparation;
  • audit and evidence traceability.

SIE does not replace other sustainability data sources. Instead, it provides a structured financial foundation that ZAYAZ progressively enriches with invoices, activity data, supplier information and other evidence where greater precision is required.


1. Integration overview

SIE within the ZAYAZ architecture

SIE provides ZAYAZ with standardized accounting information independently of the accounting application that originally generated it.

This allows the same ZAYAZ processing architecture to operate across multiple source systems.

The basic flow is:

Accounting systemSIEZAYAZ Accounting Connectivity FrameworkZAYAZ canonical data modelESG classification and enrichmentCalculation, reporting and traceability

The SIE integration therefore separates the source accounting application from the ESG processing layer.

Once the data is normalized inside ZAYAZ, downstream services interact with the ZAYAZ data model rather than with the original accounting-system structure.

Supported SIE formats

Different SIE formats provide different levels of accounting detail.

FormatTypical informationZAYAZ use
SIE 1Opening and closing account balancesHigh-level financial analysis
SIE 2Account balances and period movementsPeriod and trend analysis
SIE 3Balances with accounting dimensionsCost-centre and project analysis
SIE 4Vouchers and transaction-level accounting dataTransaction and ESG screening
SIE 5Extended XML-based accounting informationRicher accounting and document integration

For transaction-level sustainability analysis, SIE 4 and SIE 5 provide the most useful starting point.


2. Integration architecture

ZAYAZ separates the accounting-data format from the method used to transfer the information.

This allows SIE to be used through several integration models.

File import

An organization exports a SIE file from its accounting system and imports it into ZAYAZ.

This provides a straightforward onboarding method and is particularly suitable for:

  • initial ESG assessments;
  • historical analysis;
  • periodic reporting;
  • organizations without direct API integrations.

Automated transfer

Where the originating accounting platform supports automated exports or APIs, SIE data can be transferred into ZAYAZ without manual handling.

The originating accounting system provides the transport mechanism, while SIE remains the accounting-data format.

Scheduled synchronization

Recurring imports can be configured where the source accounting environment supports scheduled export or automated retrieval.

This enables accounting information to become part of an ongoing sustainability-data process rather than a once-a-year reporting exercise.

Source-system connectors

Where ZAYAZ provides a dedicated connector to the accounting platform, the source system's native API can provide additional information beyond the SIE dataset.

SIE can then remain available as:

  • an onboarding mechanism;
  • a historical-data source;
  • a reconciliation source;
  • a fallback integration route.

3. Data available to ZAYAZ

The information available depends on the SIE format and on how the originating accounting application populates the export.

Typical accounting information includes:

General ledger

ZAYAZ can process account structures and financial balances and map them into the ZAYAZ canonical financial model.

Transactions and vouchers

Transaction-level SIE data provides a basis for identifying ESG-relevant expenditure and linking sustainability calculations back to financial records.

Accounting dimensions

Where available, cost centres, projects and other accounting dimensions can support allocation by:

  • business unit;
  • location;
  • department;
  • project;
  • activity.

Suppliers and customers

Where reliable supplier or customer identifiers are available, ZAYAZ links financial activity to the corresponding organization.

This supports supplier analysis, Scope 3 prioritization and supplier engagement.

Where the accounting data does not contain a sufficiently reliable identifier, ZAYAZ enriches the record from another authorized source before using it for supplier-specific analysis.

Invoices

Accounting transactions can be linked with invoice information where it is available through the SIE dataset, source accounting system or supporting document source.

Invoice information increases the precision of classification and calculation.

Invoice-line information

Detailed invoice-line data can provide information such as:

  • product or service description;
  • quantity;
  • measurement unit;
  • material;
  • energy quantity;
  • fuel type;
  • transport information.

Where this level of detail is not available through SIE, ZAYAZ obtains it from another connected data source or supporting evidence.

Currency and tax information

Currency and relevant financial metadata are preserved when available and are used in calculation and reconciliation processes.

For spend-based emissions calculations, ZAYAZ also maintains the relationship between:

  • transaction currency;
  • conversion methodology;
  • reporting currency;
  • emission-factor currency;
  • factor reference year.

Electronic documents

Where the SIE implementation provides references to supporting documents, ZAYAZ can connect those documents to the corresponding accounting record and include them in the evidence chain.


4. How ZAYAZ processes SIE data

The SIE integration follows a controlled processing pipeline.

Ingestion

ZAYAZ receives the SIE dataset and registers its source, accounting period, organization and import context.

The original source remains linked to the resulting records.

Validation

The incoming information is checked for:

  • structural validity;
  • accounting consistency;
  • completeness;
  • duplicate records;
  • valid account relationships;
  • supported accounting dimensions.

A technically valid accounting file and an ESG-ready dataset are treated as separate concepts.

A SIE file can be structurally valid while additional sustainability evidence is still required.

Schema mapping

SIE-specific fields are mapped to the ZAYAZ canonical data model.

For example:

SIE transactionZAYAZ financial transaction

SIE accountZAYAZ financial account

SIE accounting objectZAYAZ financial dimension

This means ESG applications do not need to understand individual SIE structures.

They interact with standardized ZAYAZ data.

Normalization

ZAYAZ normalizes elements such as:

  • dates;
  • monetary values;
  • accounting periods;
  • account structures;
  • dimensions;
  • organization references;
  • supplier identities;
  • currencies.

Both the original and normalized values remain traceable.

ESG classification

Financial transactions are analyzed to identify potential sustainability relevance.

Examples include:

  • electricity;
  • fuel;
  • business travel;
  • freight;
  • waste management;
  • purchased materials;
  • purchased services;
  • leasing;
  • capital equipment.

Classification can combine financial accounts, transaction descriptions, supplier information, invoice evidence and governed ZAYAZ classification rules.

ESG enrichment

Where financial data identifies an activity but does not provide sufficient detail, ZAYAZ requests or retrieves richer evidence.

For example:

Accounting information

Electricity expenditure: SEK 125,000

may be enriched with:

Activity information

Electricity consumption: 86,400 kWh

The original financial information remains available for reconciliation.

Calculation

ZAYAZ selects the appropriate calculation method based on the available evidence.

Examples include:

Spend-based

Financial expenditure × emission factor = estimated emissions

or:

Activity-based

Physical quantity × activity-specific emission factor = calculated emissions

The calculation retains its method, source data, emission factor and version history.

Evidence linkage

Every resulting ESG datapoint can be traced through its processing history.

For example:

Reported CO₂e result

→ calculation → calculation method → emission factor → activity or expenditure data → normalized accounting record → original transaction → original SIE source

Where invoices or supplier evidence have been added, these become part of the same evidence chain.


5. ESG use cases

Emissions screening

Accounting information provides a practical way to identify where significant emissions are likely to occur.

ZAYAZ analyzes expenditure categories and financial activity to identify likely emissions hotspots and determine where more specific information should be collected.

Scope 1

Accounting data can help identify activities associated with:

  • fuel;
  • natural gas;
  • company vehicles;
  • combustion;
  • refrigerant-related services.

ZAYAZ combines this information with activity data where required for more precise emissions calculation.

Scope 2

Energy-related accounting transactions can identify electricity, heating and cooling expenditure.

ZAYAZ can enrich these records with:

  • consumption in kWh;
  • location;
  • energy source;
  • supplier information;
  • contractual energy attributes.

Scope 3

Accounting data is particularly useful for initial Scope 3 analysis.

Financial transactions can support analysis of:

  • purchased goods and services;
  • capital goods;
  • transportation;
  • business travel;
  • waste;
  • leased assets;
  • fuel- and energy-related activities.

ZAYAZ can initially use financial information for screening and subsequently upgrade calculations as higher-quality data becomes available.

Purchased goods and services

Supplier expenditure can be classified and ranked to identify the categories and suppliers with the greatest potential sustainability impact.

This enables a targeted approach to supplier data collection.

Instead of requesting detailed information from every supplier equally, organizations can prioritize the suppliers and categories where better information creates the greatest value.

Supplier analysis

Reliable supplier identifiers allow ZAYAZ to connect accounting activity with supplier sustainability information.

This supports:

  • supplier-spend analysis;
  • Scope 3 hotspot identification;
  • supplier prioritization;
  • supplier ESG requests;
  • supplier-specific emissions data;
  • value-chain reporting.

VSME and ESRS

Validated accounting information can populate or support sustainability disclosures where financial or activity information is relevant.

ZAYAZ combines SIE-derived information with other ESG data sources for disclosures that require:

  • policies;
  • workforce information;
  • governance;
  • targets;
  • transition plans;
  • stakeholder information;
  • environmental activity data;
  • supplier information.

The result is a unified reporting dataset rather than separate accounting and ESG datasets.


6. Data-quality hierarchy

ZAYAZ treats sustainability data quality as progressive rather than binary.

A financial transaction can therefore provide useful information even when more precise data will ultimately replace the initial estimate.

Level 1 — Accounting-based estimate

Example:

SEK 500,000 spent on business travel

Useful for:

  • screening;
  • prioritization;
  • initial estimates.

Level 2 — Invoice-level information

Example:

Specific supplier + invoice + travel expenditure

Improves attribution and classification.

Level 3 — Activity information

Example:

Flight route + passenger class

or:

Electricity consumption in kWh

Enables activity-based calculation.

Level 4 — Supplier-specific information

A supplier provides emissions or product information relating directly to the purchased product or service.

Level 5 — Verified primary information

Primary data is supported by defined validation or verification evidence.

The progression is:

Accounting dataInvoice dataActivity dataSupplier-specific dataVerified primary data

ZAYAZ retains the history when a lower-quality calculation is replaced by a higher-quality calculation.

This distinguishes an improvement in data quality from an actual change in environmental performance.


7. Traceability and audit trail

Traceability is maintained from the original accounting information through to the resulting ESG datapoint.

The evidence chain can include:

Source system

  • accounting application;
  • organization;
  • accounting period;
  • source format.

Source record

  • voucher;
  • transaction;
  • account;
  • accounting dimension.

Transformation

  • original value;
  • normalized value;
  • transformation rule;
  • transformation version.

Classification

  • ESG category;
  • classification rule;
  • classification confidence;
  • supporting evidence.

Emission factor

  • factor;
  • source dataset;
  • geographical applicability;
  • reference year;
  • unit.

Calculation

  • input data;
  • formula;
  • conversion;
  • method;
  • result;
  • calculation version.

Verification

  • validation status;
  • supporting evidence;
  • review status;
  • verification status.

This allows users, advisors and assurance professionals to understand how a reported result was produced and what evidence supports it.


8. Integration boundaries

SIE is an accounting-data standard. It is therefore highly valuable as a financial-data source, but it does not represent the complete sustainability-data environment.

For example, accounting information does not inherently provide:

  • physical fuel quantity;
  • electricity consumption;
  • material weight;
  • transport distance;
  • product composition;
  • workforce policies;
  • governance information;
  • biodiversity impacts;
  • sustainability targets.

ZAYAZ handles these boundaries through data enrichment.

When a required datapoint is not available from SIE, the platform obtains it through another appropriate source, such as:

  • invoice data;
  • source-system API;
  • supplier information;
  • meter data;
  • procurement systems;
  • IoT systems;
  • manual evidence;
  • external datasets.

ZAYAZ does not convert absence of evidence into assumed data.

This is an important principle of the integration architecture.


9. Security and controls

SIE data is processed within the same ZAYAZ security and governance architecture as other financial and ESG information.

Controls include:

Authentication

Access to the ZAYAZ environment requires authenticated users or authorized system connections.

Authorization

Access rights are controlled according to organization, tenant, role and permitted operation.

Encryption

Data is protected during transfer and while stored within the platform.

Tenant isolation

Client data remains logically separated between organizations unless an explicitly authorized data-sharing relationship exists.

Source integrity

Original source information is retained and associated with its ingestion history.

Audit logging

Relevant actions are recorded, including:

  • imports;
  • validation;
  • transformations;
  • classifications;
  • enrichment;
  • manual changes;
  • calculations;
  • reviews;
  • exports.

Integration monitoring

Automated integration configurations can be monitored for:

  • successful data transfer;
  • failed imports;
  • duplicate datasets;
  • missing periods;
  • abnormal record counts;
  • source changes.

10. Implementation models

Quick-start integration

The simplest deployment model is:

Accounting systemSIE exportZAYAZ

This provides an efficient entry point for organizations that want to begin ESG analysis without first implementing a direct system integration.

Managed production integration

For recurring use, SIE transfers can be incorporated into a managed data process.

Example:

Accounting platform

→ scheduled export → ZAYAZ Accounting Connectivity Framework → automated validation → ESG processing

Direct accounting-system integration

Where a dedicated ZAYAZ connector exists, the platform can use the accounting system's native integration capabilities.

This can provide:

  • more frequent data;
  • richer invoice information;
  • supplier records;
  • attachments;
  • additional transaction metadata.

SIE remains useful for migration, reconciliation, historical information and fallback.

Hybrid integration

Organizations can combine multiple sources.

For example:

SIE → financial transaction backbone Accounting API → supplier and invoice information Invoice documents → activity data Supplier portal → supplier-specific ESG data

All sources converge in the same ZAYAZ canonical data environment.


11. Integration outcome

The purpose of the SIE integration is not simply to import accounting files.

It enables ZAYAZ to convert existing financial information into a structured starting point for sustainability management.

The integration provides a pathway from:

existing accounting records

to:

ESG classification

to:

higher-quality evidence

to:

calculation

to:

reporting

to:

assurance-ready traceability

while preserving the connection to the original accounting information.

The result is a progressive data architecture in which organizations can begin with the information they already have and improve data quality over time without rebuilding the reporting model.


Integration principle

SIE provides the accounting backbone. ZAYAZ adds the sustainability intelligence, enrichment, calculations and evidence chain around it.

This allows accounting data to become part of an integrated ESG information environment rather than remaining isolated in the financial system.




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