

Overview
Combines self service data quality and globally curated data sets in an intelligent platform. Experian Aperture Data Studio empowers modern data practitioners to rapidly build the most consistent, accurate, and holistic view of data. The Data Studio platform is designed to help you tackle your most pressing data quality challenges, from gaining a single customer view to improving day to day operational efficiency, periodic cleansing and accuracy in reporting. Experian offer a full range of best-practice functionality to support each stage of a comprehensive data quality workflow through marketing leading profiling, discovery, validation and data cleansing, machine learning enabled de duplication, and enrichment. Features & Benefits: Automatic validation & enrichment. Continuously verify that you have valid consumer data to improve communications and analytics and reduce risk. Validate and enrich your data against Experian curated data sets, enhancing your data in a few simple clicks. Intelligent platform. Out-of-the-box profiling, cleansing, validation, transformation, enrichment, and de dupe. Hyper connected to data sources and your IT infrastructure. Extensible. Build your own sophisticated data manipulations. Augmented Machine Learning speeds workflow and rules optimization. Faster time to value. Quickly profile data, develop sophisticated, re usable Data Quality processes and share them securely with the business. Operationalize your Data Quality and deploy faster than IT centric solutions.
Highlights
- Single platform for all your data management and data quality requirements
- Enrich your data with Experian's global datasets
- Rapid implementation time and time to value, in days not months
Details
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Pricing
Dimension | Description | Cost/12 months |
---|---|---|
Pro License | Annual, 2 Designers, 5 Consumers, 10M records, 100 sources & training | $66,000.00 |
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Reviewed upon request
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Customer reviews
An excellent self-service tool for agile data analysis, cleansing, and enhancement.
Aperture speeds up ad hoc analysis, data preparation and similar tasks dramatically in comparison to hiring a data engineer to do the task. More importantly, data engineers often do not know what to look for and they need detailed specifications. Therefore, Aperture brings data to business users, analysts and architects who know the business and objectives reducing the need for long problem solving projects and sprints and epics. The tasks that would be several sprints or even epics in traditional code-based development, were done in days. Aperture can be used to monitor CRMs, cleanse transfer files, validate compliance, analyse newly found data anomalies conserning business users and much more.
Another drawback is also that this does not scale to use cases like true big data and iot streaming data with full devops practices. Therefore, ICT departments might prefer other tools while data governance and management offices working with business might prefer Aperture. Tens millions records are just fine but true big data has massive scalability requirements. Yet, choosing a tool meant for data engineers working with big data does not provide advantages like Aperture. You end up working with slow sprints, endless communication rounds, and costly ICT-heavy projects.
Choose a tool and experts for your needs and test them beforehands.