Aperture

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

Powering Personalisation through Trusted Data

In a saturated and highly competitive telecommunications market, delivering exceptional customer experiences is no longer optional—it’s a strategic imperative. Providers must leverage data, analytics and AI to understand customer needs, personalise interactions and optimise every touchpoint. Experian Aperture Data Studio empowers marketing and customer experience teams to unify, cleanse and activate customer data—without relying on technical teams—so they can drive smarter decisions and stronger outcomes.

Improve Customer Experience

Identify and correct data issues across customers, product, billing and service domains that negatively impact customer satisfaction—such as incorrect contact details, billing errors, or misaligned service plans.

Power Personalisation with Trusted Data Assets

Capture and maintain customer preferences to deliver relevant, timely offers. Avoid irrelevant communications that erode brand trust and increase churn.

Unify Customer Data Across Fragmented Systems

Integrate data from CRM, billing, service and marketing platforms to create a single, trusted view of the customer—enabling consistent experiences across all channels.

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

Prepare High-Quality Data for AI and Predictive Analytics

Deliver governed, self-documented data pipelines for AI and predictive models. Ensure data quality and compliance for initiatives such as next-best-offer engines, churn prediction, and customer lifetime value modelling.

Empower Business Teams without Heavy IT Dependence

Use an intuitive, no-code interface to profile, cleanse, and enrich customer data. Enable marketing and CX teams to generate insights and take action without waiting on data engineering resources.

Ensure Reliable Communication with Clean Contact Data

Fix inaccurate phone numbers, email addresses and billing addresses to reduce failed communications, missed notifications, and billing disputes—improving trust and engagement.

Why Experian Aperture Data Studio?

Enhancing customer experience: Aperture can analyse customer and product, service, billing domain data and determine where incorrect data is negatively impacting the customer experience and fix these issues at source or in customer data platforms.

Correct contact data on the fly: Improve contact rates and avoid missed notifications and billing issues.

Take control of your customer data quality and insights without over reliance on data engineering skills. Aperture Data Studio has an easy-to-use interface with pre-built data quality and wrangling functions to deliver deep customer insights. Easy access is provided to Experian data sets helping to drive improved customer interactions and marketing performance.

Provide a unified picture of the customer across fragmented systems.

Data Profiling and Customer Segmentation for customer acquisition and churn modelling. Aperture Data Studio can rapidly profile customer data to identify trends, perform data quality routines and then enrich the data with Experian data assets such as Mosaic and commercial marketing data. Improving segmentation and providing benefits to acquisition and churn reduction strategies.

  • Service plan data quality issue identification.
  • Identify usage data mismatches.
  • Customer Preference management.
Sales & Marketing

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