This roadmap provides a snapshot of the direction and development priorities for Experian's data quality solutions. Please note, all enhancements and timings are subject to change at our discretion.
Ingest files from Google Cloud Storage manually or automatically via drozpone monitoring, similar to existing AWS and Azure capabilities. Run Aperture Data Studio data quality workflows directly in Google BigQuery using pushdown processing..
Validate and standardize addresses at scale with an enhanced Validate Address step that processes up to 10,000 addresses per batch across 250+ countries using a new Experian API.
Gain enhanced protection of data and secrets with support for Amazon AWS encryption and key management services. Support for other providers is planned, reach out for info.
Improve Workflow performance using the newer Graph engine built for Hosted deployments, enabling distributed processing for high data volume workloads.
Improve matching efficiency and control by configuring and refining blocking keys and rules using integrated Workbench functionality in Aperture Data Studio.
Accelerate time to value for data governance when using a customizable, industry‑specific data model from Aperture Data Studio's library as a starting point.
Utilise GenAI natural language processing (NLP) models to translate human-language search requests into complex scripts and return detailed search results.
A centralized repository of metadata made up of systems (that make up your architecture), tables, and columns (created by importing metadata from the linked systems).
Collection of logical business data terms and their definition split into hierarchies to make them easier to understand, manage, and implement across the business. Shows the relationship between the logical and physical data structures.
Enable support for Australia Post parcel lockers within our Australia address dataset, helping retailers to meet growing customer expectations on flexible and convenient delivery options.
Q2 2026
Planning
New sources of international address and enrichment data
Validate a broader range of phone numbers by detecting Machine-to-Machine (M2M) phone numbers (e.g., phone numbers assigned to SIM cards in IoT devices, such as smart meters) improving validation accuracy and expanding use case coverage.
Reduce data quality issues by correcting address errors before the record is saved to the system of record, through a secondary address validation step..
Quickly cleanse address, email, and phone data at scale in Salesforce and Microsoft, powered by new bulk validation APIs..
FAQs
What is the purpose of this roadmap?
The roadmap is publicly available to provide you with better insight into our plans and longer-term vision. It is constantly changing as we deliver new items to market, explore new opportunities and take your feedback into account.
How frequently is the roadmap updated?
This roadmap is updated on a quarterly basis. Q1- end of March, Q2 - end of June, Q3 - end of September, Q4 - end of December
What do the tags mean?
There are two types of tags:
Product – the product(s) that the release applies to.
Region – the region(s) that the release is most relevant to, it does not specify availability for sale.
Does the roadmap show everything?
No, the roadmap shows the highlights of key releases recently delivered, currently being built or being explored for future release. If you need a more detailed view or have queries for a specific product, please contact your Account Manager to talk through in more detail.
Product roadmap disclaimer
The Building and Planning sections in the roadmap contain forward-looking statements which provide an indication of product development and exploration plans. These statements may be identified by words such as "expect", "look forward to", "anticipate", "intend", "plan", "will", or words of similar meaning. Forward-looking statements are subject to a number of risks, uncertainties and other factors. Therefore, the releases, scope and timings are subject to change at our discretion without prior warning.
More information
To learn more about our data quality solutions, please visit the website relevant to your region:
