Aperture Data Studio in Retail Banking
Reduce risk and unlock the true value of your data with well-governed, accurate and trusted data.
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.
Break down data silos
Unify fragmented data environments by cataloguing critical data elements into Aperture Data Studio. This enables consistent, enterprise-wide access to trusted data for analytics and reporting.
Improve Data Quality and Integrity
Automate data quality checks and controls across customer domains to ensure reliable data for critical decisions—ranging from customer acquisition and churn, to credit loss forecasting and capital adequacy reporting.
Enable Self-Service Analytics with Confidence
Support business users across sales, marketing, finance, and procurement with high-quality, trusted data. Aperture Data Studio empowers non-technical teams to make informed decisions without compromising data integrity.
Strengthen Data Governance and Compliance
Ensure compliance with APRA, ASIC, and privacy regulations through robust policy enforcement and governance frameworks. Experian Data Studio enables centralised oversight while supporting federated data models.
Build a Robust Enterprise Data Model
Use built-in data catalogue and dictionary functionalities to create a comprehensive enterprise data model—laying the foundation for scalable, cloud-based data lakehouse deployments.
Scale Data Governance Across the Enterprise
Operationalise data quality and governance in lines of business where data engineering capabilities are limited. Experian’s tools are designed to scale with your organisation’s needs.
How your dashboard could look, with an example of three levels of Data Quality reporting
- Align data quality and governance initiatives to clear business value (ROI).
- Improve the data quality and integrity of data for self-service analytics programs.
- Help scale out and operationalise data quality and governance in lines of business where data engineering skills are below standard or not readily available.
- Ingest Experian data assets (consumer and commercial) for data preparation use cases prior to model deployment – including health checks on first party application and behavioural data.
- Automate data quality tasks and checks against customer domain data.
- Build out an enterprise data model using the data catalogue and data dictionary.
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