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Semarchy Inc

Semarchy Data Platform

Composite Score

8.8 /10

CX Score

9.1 /10

61 Reviews Write a Review

What is Semarchy Data Platform?

Seamlessly blending master data management, data intelligence, and data integration capabilities into a singular, potent data application that can be deployed in any environment, empowering organizations to harmonize, analyze, and manage their data more efficiently.

Company Details

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Awards & Recognition

Semarchy Data Platform won the following awards in the Master Data Management category

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2024 Emotional Footprint Champion

Latest Award, 2024

Strategy and Innovation
Conflict Resolution

Latest Award, 2024

2024 Data Quadrant Gold Medalist

2024

2023 Emotional Footprint Champion

2023

Strategy and Innovation

2023

2022 Emotional Footprint Champion

2022

Strategy and Innovation

2022

0 Top Rated Capabilities

2 Top Rated Features

2022

Semarchy Data Platform Ratings

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

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.

90 Likeliness to Recommend

Up 3
Since last award

98 Plan to Renew

Up 1
Since last award

83 Satisfaction of Cost Relative to Value

Up 1
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 94%
Negotiation and Contract:: 89%
Conflict Resolution:: 96%
Strategy & Innovation:: 97%
Service Experience:: 95%

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.

+94 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 Semarchy Data Platform?

0% Negative

7% Neutral

93% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Appreciates Incumbent Status

Feature Ratings

Average 82

AI-Based MDM

Golden Record Management

Record Management

Record Deduplication

Record Linkage

Reference Data Management

Entity Relationship Management

Entity Deduplication

Data Modelling Tools

Aggregational Hierarchies Management

Metadata Management

Vendor Capability Ratings

Average 82

Business Value Created

Vendor Support

Ease of Implementation

Breadth of Features

Ease of IT Administration

Availability and Quality of Training

Usability and Intuitiveness

Quality of Features

Ease of Customization

Product Strategy and Rate of Improvement

Ease of Data Integration

Semarchy Data Platform Reviews

Hamdi S.

Role: Consultant
Industry: Transportation
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Aug 2021

Intuitive less coding, more settings

Likeliness to Recommend

8 /10

What differentiates Semarchy Data Platform from other similar products?

Intuitive less coding, more settings

What is your favorite aspect of this product?

Implementing rules

What do you dislike most about this product?

searching components in dev interface

What recommendations would you give to someone considering this product?

simplify searching in dev interface

Pros

Continually Improving Product
Enables Productivity
Unique Features
Efficient Service

hammad A.

Role: Consultant
Industry: Banking
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Aug 2021

Easy to use, but a bit pricey, Fantastic product

Likeliness to Recommend

8 /10

What differentiates Semarchy Data Platform from other similar products?

no coding almost

What is your favorite aspect of this product?

user friendly

What do you dislike most about this product?

ui performances

What recommendations would you give to someone considering this product?

Well configure DB

Pros

Caring
Respectful
Trustworthy
Efficient Service

Vincent L.

Role: Consultant
Industry: Consulting
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Aug 2021

easy to work with but no custom logic

Likeliness to Recommend

8 /10

What differentiates Semarchy Data Platform from other similar products?

ease of use

What is your favorite aspect of this product?

ease of use

What do you dislike most about this product?

integration not easy

What recommendations would you give to someone considering this product?

choose compared to other shops

Pros

Helps Innovate
Continually Improving Product
Includes Product Enhancements
Reliable

Cons

Less Caring
Vendor's Interest First
Less Transparent

Latest Research

Semarchy Data Platform

What is Semarchy Data Platform?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2022 Emotional Footprint Champion

Semarchy Data Platform Ratings

90 Likeliness to Recommend

Up 3 Since last award

98 Plan to Renew

Up 1 Since last award

83 Satisfaction of Cost Relative to Value

Up 1 Since last award

Emotional Footprint Overview

Emotional Footprint Overview

+94 Net Emotional Footprint

How much do users love Semarchy Data Platform?

Chart

Pros

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

AI-Based MDM AI is used for machine learning-based matching, cleansing and classification, active learning from user interactions, and anomaly detection in data loads.

Golden Record Management Includes ability to profile, clean, match, link, identify, and reconcile master data in different data sources to create and maintain the "golden record."

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 Ability to eliminate duplicate records in a datset.

Record Linkage Ability to find records in a dataset that refer to the same entity across different data sources

Reference Data Management Ability to store and distribute reference data created externally. Examples of reference data: country/currency codes, administrative regions, etc.

Entity Relationship Management Ability to manage relationships across entity instances within the same entity class, as well as across entity classes.

Entity Deduplication Ability to resolve duplicate representation of the same entity instance based on a set of defined attribute/rules and assign unique identifier for each instance

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Aggregational Hierarchies Management Ability to create and maintain hierarchical constructs/models used by the business to aggregate information for reporting and analytics.

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

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

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 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.

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

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.

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.

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.

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

Semarchy Data Platform Reviews

Hamdi S.

Intuitive less coding, more settings

Likeliness to Recommend

Pros

hammad A.

Easy to use, but a bit pricey, Fantastic product

Likeliness to Recommend

Pros

Vincent L.

easy to work with but no custom logic

Likeliness to Recommend

Pros

Cons

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Title

Up 3
Since last award

Up 1
Since last award

Up 1
Since last award

Feature Ratings

AI-Based MDM

Golden Record Management

Record Management

Record Deduplication

Record Linkage

Reference Data Management

Entity Relationship Management

Entity Deduplication

Data Modelling Tools

Aggregational Hierarchies Management

Metadata Management

Vendor Capability Ratings

Business Value Created

Vendor Support

Ease of Implementation

Breadth of Features

Ease of IT Administration

Availability and Quality of Training

Usability and Intuitiveness

Quality of Features

Ease of Customization

Product Strategy and Rate of Improvement

Ease of Data Integration