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Datactics

Datactics Data Quality

Composite Score

7.4 /10

CX Score

7.9 /10

13 Reviews Write a Review

What is Datactics Data Quality?

Datactics software profiles, cleans and reformats data and puts comparable/alternative item matching at your fingertips. Datactics dramatically reduces manual labour and increases revenues by providing immediate access to accurate and standardised data.

Company Details

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Datactics 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 Datactics 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.

86 Likeliness to Recommend

100 Plan to Renew

84 Satisfaction of Cost Relative to Value

2
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.

+96 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 Datactics Data Quality?

6% Negative

0% Neutral

94% Positive

Pros

Helps Innovate
Continually Improving Product
Trustworthy
Efficient Service

Feature Ratings

Average 84

Data Cleansing

Data Matching

Reporting Components

Data Monitoring and Administration

Record Deduplication

Data Profiling

Record Management

Data Enrichment

Data Source Connectivity

Geocoding

Dashboard

Vendor Capability Ratings

Average 82

Vendor Support

Availability and Quality of Training

Ease of IT Administration

Ease of Implementation

Business Value Created

Usability and Intuitiveness

Breadth of Features

Ease of Data Integration

Quality of Features

Ease of Customization

Product Strategy and Rate of Improvement

Datactics Data Quality Reviews

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

Validated Review

Anonymous Reviewer

Submitted Feb 2021

A lot of features and customisation options

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Role: Information Technology
Industry: Banking
Involvement: Initial Implementation

Validated Review

Anonymous Reviewer

Submitted Feb 2021

Business user friendly product

Likeliness to Recommend

8 /10

Pros

Caring
Respectful
Trustworthy
Efficient Service

Sean M.

Role: Sales Marketing
Industry: Banking
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jan 2021

Quality product delivered by a top Class team

Likeliness to Recommend

10 /10

What differentiates Datactics Data Quality from other similar products?

Ease of use and excellent ongoing support

What is your favorite aspect of this product?

Matching imperfect data with a high degree of accuracy

What do you dislike most about this product?

Nothing much

What recommendations would you give to someone considering this product?

Top class product delivered by a top class team

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Latest Research

Datactics Data Quality

What is Datactics Data Quality?

Company Details

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Awards & Recognition

2021 Emotional Footprint Champion

Datactics Data Quality Ratings

86 Likeliness to Recommend

100 Plan to Renew

84 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+96 Net Emotional Footprint

How much do users love Datactics 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.

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

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 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.

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

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

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

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

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

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

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.

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.

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

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.

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.

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.

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.

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

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 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.

Datactics Data Quality Reviews

A lot of features and customisation options

Likeliness to Recommend

Pros

Business user friendly product

Likeliness to Recommend

Pros

Sean M.

Quality product delivered by a top Class team

Likeliness to Recommend

Pros

Title

2
Since last award

Feature Ratings

Data Cleansing

Data Matching

Reporting Components

Data Monitoring and Administration

Record Deduplication

Data Profiling

Record Management

Data Enrichment

Data Source Connectivity

Geocoding

Dashboard

Vendor Capability Ratings

Vendor Support

Availability and Quality of Training

Ease of IT Administration

Ease of Implementation

Business Value Created

Usability and Intuitiveness

Breadth of Features

Ease of Data Integration

Quality of Features

Ease of Customization

Product Strategy and Rate of Improvement