Semarchy Inc

Semarchy Data Platform

8.2 /10

46 Reviews Write a Review

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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 Data Quadrant Gold Medalist

Latest Award, 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.

88 Likeliness to Recommend

1
Since last award

97 Plan to Renew

3
Since last award

82 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+93 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
Client Friendly Policies
Fair

Feature Ratings

Average 79

Golden Record Management

Record Linkage

Record Management

Data Modelling Tools

Reference Data Management

Record Deduplication

Entity Relationship Management

Entity Deduplication

Aggregational Hierarchies Management

Intrinsic Data Model

Workflow Management

Vendor Capability Ratings

Average 78

Business Value Created

Ease of Implementation

Availability and Quality of Training

Breadth of Features

Vendor Support

Usability and Intuitiveness

Quality of Features

Ease of IT Administration

Ease of Customization

Product Strategy and Rate of Improvement

Ease of Data Integration

Semarchy Data Platform Reviews

Jessica A.

Role: Finance
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2024

Revolutionizing MDM Platform

Likeliness to Recommend

10 /10

What differentiates Semarchy Data Platform from other similar products?

It covers an intuitive data modeling atmosphere to handle our data structure easily. Such flexible modeling abilities enable us to adapt our work according to the environment without having extensive technical expertise. Also, its way of integration to external sources such as applications, databases, etc and ingestion supports the users to consolidate the data into a single source.

What is your favorite aspect of this product?

Semarchy helps me to get a single and trustworthy analysis of our master data across several domains such as customer, supplier, product, etc, by providing a detailed framework for the governance of data, management of quality, and seamless integration with external sources. It focuses strongly on managing the quality of data by minimizing errors which leads to strong decision making.

What do you dislike most about this product?

There are a few things that need to be improved such as its complexity while configuration. It requires external sources to do this which takes larger time than usual. Also, its features are highly advanced which are not easy to implement without proper training. These things pay attention to our smooth and time-consuming operations.

What recommendations would you give to someone considering this product?

It is suitable for all those enterprises that need credible Master Data Management software to handle complex data landscapes.

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Efficient Service

Jessica B.

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

Validated Review

Verified Reviewer

Submitted Jun 2024

Impressive Master-data Solution

Likeliness to Recommend

7 /10

What differentiates Semarchy Data Platform from other similar products?

The aspect if dat preparation from the platform is well defined

What is your favorite aspect of this product?

The aggressive data scanners ensure no threats

What do you dislike most about this product?

The vendor lacks extensive knowledge in matters pricing

What recommendations would you give to someone considering this product?

The dynamics in data storage and extensive analytics calls for this tool

Pros

Caring
Over Delivered
Security Protects
Helps Innovate

Michael B.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

Outstanding product. Intuitive to use.

Likeliness to Recommend

10 /10

What differentiates Semarchy Data Platform from other similar products?

Ease of integration with other platforms

What is your favorite aspect of this product?

Intuitive nature of development tool

What do you dislike most about this product?

Requirement to mirror identical entities across domains. Would love virtual entities

What recommendations would you give to someone considering this product?

Toolset will force your organization to reexamine and reengineer business processes and workflows. In a good way

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Semarchy Data Platform

What is Semarchy Data Platform?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2022 Emotional Footprint Champion

Semarchy Data Platform Ratings

88 Likeliness to Recommend

1 Since last award

97 Plan to Renew

3 Since last award

82 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+93 Net Emotional Footprint

How much do users love Semarchy Data Platform?

Pros

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

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

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

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

Record Deduplication Ability to eliminate duplicate records in a datset.

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

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

Intrinsic Data Model Includes basic data models out of the box such as customer, account, product, location, etc.

Workflow Management Includes ability to support flexible and comprehensive workflow-based capabilities.

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.

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.

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.

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.

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

Jessica A.

Revolutionizing MDM Platform

Likeliness to Recommend

Pros

Jessica B.

Impressive Master-data Solution

Likeliness to Recommend

Pros

Michael B.

Outstanding product. Intuitive to use.

Likeliness to Recommend

Pros

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Feature Ratings

Golden Record Management

Record Linkage

Record Management

Data Modelling Tools

Reference Data Management

Record Deduplication

Entity Relationship Management

Entity Deduplication

Aggregational Hierarchies Management

Intrinsic Data Model

Workflow Management

Vendor Capability Ratings

Business Value Created

Ease of Implementation

Availability and Quality of Training

Breadth of Features

Vendor Support

Usability and Intuitiveness

Quality of Features

Ease of IT Administration

Ease of Customization

Product Strategy and Rate of Improvement

Ease of Data Integration