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PiLog Inc

PiLog Data Quality and Governance Suite

Composite Score

9.4 /10

CX Score

9.6 /10

109 Reviews Write a Review

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What is PiLog Data Quality and Governance Suite?

The PiLog Data Quality and Governance Suite is a solution for Material, Service, Vendor, Customer, Assets, Employee, etc. with embedded Data Quality Management. It is a multi-domain, multi-lingual solution to create and maintain all the master data records in a single installation. One of the primary functions is that of Master Data Management with governance processes specific to creation, change, extension, deletion, and archiving to manage the complete life cycle of the master data records.

Company Details

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Awards & Recognition

PiLog Data Quality and Governance Suite won the following awards in the Master Data Management category

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2025 Emotional Footprint Champion

Latest Award, 2025

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

Latest Award, 2025

2025 Data Quadrant Champion

2025

10 Top Rated Capabilities

13 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2024

2024 Data Quadrant Champion

2024

10 Top Rated Capabilities

11 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Product Impact

2023

2023 Data Quadrant Champion

2023

9 Top Rated Capabilities

7 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

2022 Data Quadrant Champion

2022

9 Top Rated Capabilities

11 Top Rated Features

2022

PiLog Data Quality and Governance Suite Ratings

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

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 Likeliness to Recommend

1
Since last award

100 Plan to Renew

91 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.

+97 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 PiLog Data Quality and Governance Suite?

0% Negative

2% Neutral

98% Positive

Pros

Respectful
Reliable
Performance Enhancing
Caring

Feature Ratings

Average 90

Metadata Management

Record Deduplication

Golden Record Management

Reference Data Management

Multi-Domain Mastering

Entity Deduplication

Record Linkage

Aggregational Hierarchies Management

Record Management

Workflow Management

Intrinsic Data Model

Vendor Capability Ratings

Average 89

Vendor Support

Business Value Created

Usability and Intuitiveness

Quality of Features

Ease of Implementation

Ease of IT Administration

Breadth of Features

Ease of Data Integration

Availability and Quality of Training

Ease of Customization

Product Strategy and Rate of Improvement

Also Featured in...

Data Quality

Score 9.2

View PiLog Data Quality and Governance Suite in this category (opens in a new tab)

PiLog Data Quality and Governance Suite Reviews

Devi K.

Role: Vendor Management
Industry: Energy
Involvement: Vendor Management and Renewal

Validated Review

Verified Reviewer

Submitted Jun 2025

Reliable and Efficient Software That Exceeds Expec

Likeliness to Recommend

10 /10

What differentiates PiLog Data Quality and Governance Suite from other similar products?

PiLog Lean Data Governance (iMDRM) stands out due to its integrated master data governance framework, seamless SAP compatibility, and focus on business-ready, multilingual, and standards-compliant data models. Its automation-driven approach significantly reduces manual errors and improves data quality lifecycle management.

What is your favorite aspect of this product?

My favorite aspect of PiLog Lean Data Governance is its intuitive user interface combined with powerful automation features that streamline data validation, enrichment, and classification

What do you dislike most about this product?

There’s honestly very little to dislike—if anything, occasional customization requests may require support, but the team is responsive and helpful

What recommendations would you give to someone considering this product?

I recommend taking full advantage of PiLog’s onboarding and training sessions to unlock the platform’s full potential and ensure seamless integration with your existing systems

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Imad W.

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

Validated Review

Verified Reviewer

Submitted Jun 2025

Simple data governance that works without hassle

Likeliness to Recommend

10 /10

What differentiates PiLog Data Quality and Governance Suite from other similar products?

Simple, fast & human friendly unlike bulky governance. Pilog does not need a tech team to run business users can actually use it. It has an Ai assistant that talks in plain language and support that actually responds

What is your favorite aspect of this product?

Most governance tools gatekeep data behind IT walls. Pilog flips that its clean interface, AI assistant & smart automation mean business users can find fix and govern data themselves.

What do you dislike most about this product?

This product is not built for deep data visualization or complex BI.

What recommendations would you give to someone considering this product?

Involve business user early, great for governance not deep analytics & pair it with BI tools if needed. Also, use their support it is fast & reliable and start small.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Amelia M.

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

Validated Review

Verified Reviewer

Submitted May 2025

Productive and Quality App

Likeliness to Recommend

9 /10

What differentiates PiLog Data Quality and Governance Suite from other similar products?

The resilience the app offers is paramount and well enhanced The handling of huge and complex database is effective

What is your favorite aspect of this product?

The management of large databases has been well entrenched The credibility of database is well clouded

What do you dislike most about this product?

We have nothing to contradict from the app

What recommendations would you give to someone considering this product?

We are delighted to own the app

Pros

Efficient Service
Saves Time
Altruistic
Acts with Integrity

Most Popular PiLog Data Quality and Governance Suite Comparisons

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PiLog Data Quality and Governance Suite

What is PiLog Data Quality and Governance Suite?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

2022 Emotional Footprint Champion

2022 Data Quadrant Champion

PiLog Data Quality and Governance Suite Ratings

94 Likeliness to Recommend

1 Since last award

100 Plan to Renew

91 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+97 Net Emotional Footprint

How much do users love PiLog Data Quality and Governance Suite?

Pros

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

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.

Record Deduplication Ability to eliminate duplicate records in a datset.

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."

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

Multi-Domain Mastering Ability to manage different types of master data (person, product, etc.) inside the same platform.

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

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

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

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.

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

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

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.

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.

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 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.

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

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.

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 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.

Also Featured in...

Data Quality

PiLog Data Quality and Governance Suite Reviews

Devi K.

Reliable and Efficient Software That Exceeds Expec

Likeliness to Recommend

Pros

Imad W.

Simple data governance that works without hassle

Likeliness to Recommend

Pros

Amelia M.

Productive and Quality App

Likeliness to Recommend

Pros

Most Popular PiLog Data Quality and Governance Suite Comparisons

SAP Master Data Governance

Informatica Master Data Management

Semarchy Data Platform

Boomi

Viamedici EPIM

SAS Data Management

1
Since last award

2
Since last award

Feature Ratings

Metadata Management

Record Deduplication

Golden Record Management

Reference Data Management

Multi-Domain Mastering

Entity Deduplication

Record Linkage

Aggregational Hierarchies Management

Record Management

Workflow Management

Intrinsic Data Model

Vendor Capability Ratings

Vendor Support

Business Value Created

Usability and Intuitiveness

Quality of Features

Ease of Implementation

Ease of IT Administration

Breadth of Features

Ease of Data Integration

Availability and Quality of Training

Ease of Customization

Product Strategy and Rate of Improvement