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Talend

Talend Data Quality

Composite Score

8.4 /10

CX Score

8.8 /10

67 Reviews Write a Review

What is Talend Data Quality?

As an integral part of Talend Data Fabric, Data Quality profiles, cleans, and masks data in real time. Machine learning powers recommendations for addressing data quality issues as data flows through your systems. The convenient self-service interface is as intuitive for business users as technical users, fostering company-wide collaboration. Talend Data Quality delivers trusted data everywhere with easy onboarding, standards and rules application across all Talend integration platforms.

Company Details

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Awards & Recognition

Talend Data Quality won the following awards in the Data Quality category

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2024 Emotional Footprint Champion

Latest Award, 2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

Latest Award, 2024

2024 Data Quadrant Gold Medalist

2024

2 Top Rated Capabilities

1 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2023

2023 Data Quadrant Gold Medalist

2023

0 Top Rated Capabilities

3 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2022

2022 Data Quadrant Gold Medalist

2022

10 Top Rated Capabilities

9 Top Rated Features

2022

2021 Emotional Footprint Champion

2021

Talend Data Quality Ratings

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

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.

89 Likeliness to Recommend

1
Since last award

98 Plan to Renew

88 Satisfaction of Cost Relative to Value

1
Since last award

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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.

+98 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 Talend Data Quality?

1% Negative

2% Neutral

97% Positive

Pros

Helps Innovate
Trustworthy
Unique Features
Client Friendly Policies

Feature Ratings

Average 85

Data Cleansing

Data Matching

Data Profiling

Dashboard

Data Enrichment

Record Management

Record Deduplication

Usability

Geocoding

Data Source Connectivity

Reporting Components

Vendor Capability Ratings

Average 83

Ease of Implementation

Vendor Support

Business Value Created

Quality of Features

Usability and Intuitiveness

Ease of Customization

Ease of Data Integration

Breadth of Features

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of IT Administration

Talend Data Quality Reviews

Role: Information Technology
Industry: Banking
Involvement: IT Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Feb 2020

Cost Effective,ease to configue

Likeliness to Recommend

9 /10

Pros

Helps Innovate
Continually Improving Product
Trustworthy
Effective Service

Latest Research

Talend Data Quality

What is Talend Data Quality?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

2022 Emotional Footprint Champion

2022 Data Quadrant Gold Medalist

2021 Emotional Footprint Champion

Talend Data Quality Ratings

89 Likeliness to Recommend

1 Since last award

98 Plan to Renew

88 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+98 Net Emotional Footprint

How much do users love Talend Data Quality?

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

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

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

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

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.

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.

Usability Includes business-oriented interface made available to business and technical users in a manner relevant to their role.

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

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.

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

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.

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.

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.

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.

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.

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.

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

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.

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.

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

Talend Data Quality Reviews

Cost Effective,ease to configue

Likeliness to Recommend

Pros

Most Popular Talend Data Quality Comparisons

Oracle Enterprise Data Quality

Melissa Data Quality Suite

SAS Data Quality

PiLog Data Quality Management

IBM InfoSphere QualityStage

SAP Data Services

Title

1
Since last award

1
Since last award

Feature Ratings

Data Cleansing

Data Matching

Data Profiling

Dashboard

Data Enrichment

Record Management

Record Deduplication

Usability

Geocoding

Data Source Connectivity

Reporting Components

Vendor Capability Ratings

Ease of Implementation

Vendor Support

Business Value Created

Quality of Features

Usability and Intuitiveness

Ease of Customization

Ease of Data Integration

Breadth of Features

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of IT Administration