Aperture
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Profile, standardise, cleanse, govern, report and transform your data

Aperture Data Studio empowers organisations to deliver trusted data. Our intuitive, quick-to-deploy, and transparent data intelligence platform includes robust data quality and governance capabilities to help you improve, control, and govern your data.

It enables everyday users to quickly and easily develop sophisticated workflows that incorporates machine learning algorithms for automatic data tagging and enriches the data using globally-curated data sets from Experian. This ensures data quality and helps govern adherence to data standards.

How we support your job function

click on the job function to see how we can support you

Data Office

Data Office

Credit Risk

Credit Risk

Marketing and Sales

Sales & Marketing

Safeguard Profitability with Governed Data

In a high-risk, high-volume environment like telecommunications, credit losses and fraud can significantly impact profitability and customer trust. With rising regulatory pressure and increasingly sophisticated scams, telecommunications providers must manage data with precision to detect fraud, assess creditworthiness and ensure compliance. Experian Aperture Data Studio empowers telecommunication providers to unify, cleanse and govern data at scale, enabling smarter decisions and stronger protections.

Unify Disconnected Data for End-to-End Credit & Fraud Insight

Break down silos across CDRs, IPDRs, SMS logs, subscriber records and billing systems. Create a single, analytics-ready environment to support accurate credit assessments, fraud detection and debt recovery.

Automate Data Preparation for Scam Intelligence Sharing

Streamline the extraction, formatting and validation of data required for regulatory reporting and scam intelligence sharing. Ensure consistency and reduce manual effort under the upcoming Scam Prevention Framework.

Build a Trusted Single Customer View (SCV)

Cleanse and validate customer data to eliminate duplicates, detect anomalies, and reduce friction during onboarding. Improve KYC accuracy and reduce the risk of fraud and account takeover.

Our dedicated team of Data Quality consultants will work closely with you to ensure a smooth and successful implementation.

Power AI-Driven Fraud Detection with Reliable Data

Feed clean, governed data into AI models to detect suspicious patterns—such as login anomalies, unusual account changes, or high-risk transaction behaviour—at scale and in real time.

Improve Accuracy for Debt Provisioning and Credit Forecasting

Use high-quality, complete data to enhance the accuracy of debt provisioning models. Better understand collectability and credit risk exposure to support financial planning and reduce bad debt.

Strengthen Governance and Demonstrate Compliance

Implement robust data governance, lineage, and audit trails to meet obligations under AML/CTF, ASIC, ACCC and scam prevention regulations. Show regulators that “reasonable steps” are being taken with well-governed data processes.

Why Experian Aperture Data Studio?

Experian Aperture Data Studio enables

Unified Data Access & Preparation for Analysis

  • Connect to and integrate diverse, high-volume data sources critical for fraud detection – CDRs, SMS logs, IPDRs, customer complaint data, network traffic information, and customer account details. Profile data to understand its structure, quality and completeness.
  • Create a unified, analytics-ready data environment, breaking down silos to enable holistic analysis for fraud detection. Understand data gaps that could impede detection efforts.

Data Verification and Protection

  • Improve the accuracy of customer identity information through validation and cleansing. Support processes to identify potentially compromised accounts or SIM swap fraud by linking related data points and identifying anomalies. Create a trusted Single Customer View (SCV).
  • Facilitating Pattern Recognition & Anomaly Detection.

Streamlined Data Preparation for Intelligence Sharing

  • Automate workflows to extract, format and validate data required for mandatory scam intelligence sharing with authorities or industry bodies.
  • Reduce manual effort and ensure consistency and accuracy in fulfilling intelligence sharing obligations.

Supporting Robust Governance & Auditability

  • Implement data governance rules around data used for fraud detection and reporting. Provide data lineage and audit trails to demonstrate how data is sourced, transformed and used in scam prevention measures.
  • Help demonstrate to regulators that reasonable steps are being taken and supported by well-governed data processes. Provide transparency for internal audits and regulatory reviews.

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