Write a review temporarily disabled. Our system flagged this request as potentially automated and has disabled form submission for security reasons. If you believe this is a mistake, please contact us. We’ll be happy to help resolve the issue.

Experian

Aperture Data Studio

Composite Score

8.1 /10

CX Score

8.3 /10

37 Reviews Write a Review

Claim Software

What is Aperture Data Studio?

Experian Aperture Data Studio (formerly Pandora) is an intelligent self-service data quality and enrichment platform that can be deployed in both cloud hosted and on premise environments. It unlocks the power of data to create opportunities for consumers, businesses, and society. Aperture Data Studio is a powerful and easy to use data management suite that helps you manage consumer data projects with confidence, in your own environment.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

Aperture Data Studio won the following awards in the Data Quality category

Filter By

0 Top Rated Capabilities

3 Top Rated Features

2025

3 Top Rated Capabilities

3 Top Rated Features

2024

3 Top Rated Capabilities

3 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Conflict Resolution

2022

2022 Data Quadrant Champion

2022

4 Top Rated Capabilities

4 Top Rated Features

2022

2021 Emotional Footprint Champion

2021

Aperture Data Studio Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Aperture Data Studio.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

88 Likeliness to Recommend

97 Plan to Renew

85 Satisfaction of Cost Relative to Value

1
Since last award

{y}

{name}

Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+91 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Aperture Data Studio?

6% Negative

6% Neutral

88% Positive

Pros

Fair
Continually Improving Product
Unique Features
Caring

Feature Ratings

Average 82

Data Cleansing

Data Enrichment

Data Monitoring and Administration

Record Management

Data Source Connectivity

Reporting Components

Data Matching

Dashboard

Data Profiling

Record Deduplication

Geocoding

Vendor Capability Ratings

Average 82

Ease of Data Integration

Business Value Created

Vendor Support

Ease of Customization

Product Strategy and Rate of Improvement

Ease of Implementation

Usability and Intuitiveness

Availability and Quality of Training

Breadth of Features

Quality of Features

Ease of IT Administration

Aperture Data Studio Reviews

Curran S.

Role: Information Technology
Industry: Finance
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2022

Great features, little pricey but well received

Likeliness to Recommend

9 /10

What differentiates Aperture Data Studio from other similar products?

Address Validation which is built in and the simple and easy to build workflow steps - incredibly user friendly

What is your favorite aspect of this product?

Visually appealing

What do you dislike most about this product?

Difficulty in handling complex or heavy workflows with lots of steps, trouble loading certain screens

What recommendations would you give to someone considering this product?

Ensure that you have your target state and model documented and well thought out

Pros

Altruistic
Continually Improving Product
Reliable
Performance Enhancing

Role: Information Technology
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Apr 2022

Excellent, complete and easy to use DQ tool

Likeliness to Recommend

8 /10

Pros

Caring
Respectful
Continually Improving Product
Reliable

Prateek A.

Role: Information Technology
Industry: Healthcare
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2022

A perfect solution for improve your data quality!

Likeliness to Recommend

10 /10

What differentiates Aperture Data Studio from other similar products?

Aperture Data Studio is a great solution for your data governance projects. It provides a way where we can profile our data, clean it, and transform it for better analytics. It really helps organizations to transform data analytics in a very excellent way.

What is your favorite aspect of this product?

The customer support team is really excellent and able to handle and resolve almost every issue. It has an excellent user interface by which users can work with initial formal training. Overall performance is good.

What do you dislike most about this product?

It has lack of some features such as rearranging the reports in a separate place for further use. Also, needs to add some advanced data analytics and dashboard visualizations.

What recommendations would you give to someone considering this product?

Highly recommended the solution for the prospective customers.

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Trustworthy

Aperture Data Studio

What is Aperture Data Studio?

Company Details

Need Assistance?

Awards & Recognition

2022 Emotional Footprint Champion

2022 Data Quadrant Champion

2021 Emotional Footprint Champion

Aperture Data Studio Ratings

88 Likeliness to Recommend

97 Plan to Renew

85 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love Aperture Data Studio?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Record Management Includes ability for Data stewards to monitoring data quality, taking action to determine the root cause of flagged issues and recommending remediation actions.

Data Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

Reporting Components Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

Data Matching Includes fuzzy matching, data comparison, and data merging.

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Geocoding Includes geo-referencing, address validation and verification, data mapping, and data append.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Aperture Data Studio Reviews

Curran S.

Great features, little pricey but well received

Likeliness to Recommend

Pros

Excellent, complete and easy to use DQ tool

Likeliness to Recommend

Pros

Prateek A.

A perfect solution for improve your data quality!

Likeliness to Recommend

Pros

Most Popular Aperture Data Studio Comparisons

Oracle Enterprise Data Quality

Talend Data Quality

Melissa Data Quality Suite

PiLog Data Quality and Governance Suite

SAS Data Quality

IBM InfoSphere QualityStage

1
Since last award

Feature Ratings

Data Cleansing

Data Enrichment

Data Monitoring and Administration

Record Management

Data Source Connectivity

Reporting Components

Data Matching

Dashboard

Data Profiling

Record Deduplication

Geocoding

Vendor Capability Ratings

Ease of Data Integration

Business Value Created

Vendor Support

Ease of Customization

Product Strategy and Rate of Improvement

Ease of Implementation

Usability and Intuitiveness

Availability and Quality of Training

Breadth of Features

Quality of Features

Ease of IT Administration