PiLog Inc

PiLog Lean Data Governance (iMDRM)

Composite Score

9.3 /10

CX Score

9.5 /10

85 Reviews Write a Review

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What is PiLog Lean Data Governance (iMDRM)?

The PiLog Lean Data Governance system is a Master Data Governance 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 Lean Data Governance (iMDRM) won the following awards in the Master Data Management 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

10 Top Rated Capabilities

11 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Product Impact

2023

PiLog Lean Data Governance (iMDRM) Ratings

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

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.

95 Likeliness to Recommend

100 Plan to Renew

93 Satisfaction of Cost Relative to Value

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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.

+95 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 Lean Data Governance (iMDRM)?

0% Negative

3% Neutral

97% Positive

Pros

Respectful
Caring
Fair
Acts with Integrity

Feature Ratings

Average 90

Aggregational Hierarchies Management

Golden Record Management

Metadata Management

Reference Data Management

Multi-Domain Mastering

Record Deduplication

Entity Deduplication

Record Linkage

Record Management

Intrinsic Data Model

Entity Relationship Management

Vendor Capability Ratings

Average 89

Vendor Support

Business Value Created

Ease of Implementation

Ease of IT Administration

Usability and Intuitiveness

Breadth of Features

Ease of Data Integration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Quality of Features

Ease of Customization

PiLog Lean Data Governance (iMDRM) Reviews

Kannu P.

Role: Industry Specific Role
Industry: Energy
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Feb 2025

Data Governance Made Simple, Fast and Effective

Likeliness to Recommend

10 /10

What differentiates PiLog Lean Data Governance (iMDRM) from other similar products?

PiLog Lean Data Governance (iMDRM) stands out with its preconfigured business content, AI-driven automation, and plug-and-play cloud deployment. Unlike traditional governance models, it offers agility, zero maintenance downtime, and seamless ERP & COTS interoperability, ensuring faster adoption and measurable impact—without the complexity!

What is your favorite aspect of this product?

The speed and simplicity—PiLog Lean Data Governance (iMDRM) is fast to deploy, easy to use, and delivers immediate value without complex configurations or downtime!

What do you dislike most about this product?

It's so fast and efficient that it raises expectations—making traditional governance solutions feel slow and outdated!

What recommendations would you give to someone considering this product?

If you're considering PiLog Lean Data Governance (iMDRM), go for it! Its quick deployment, AI-driven automation, and seamless integration make data governance effortless. Start with a demo and experience the speed, simplicity, and impact firsthand!

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Role: Sales Marketing
Industry: Engineering
Involvement: Initial Implementation

Validated Review

Anonymous Reviewer

Submitted Feb 2024

Streamlining Master Data Management Effortlessly

Likeliness to Recommend

9 /10

Pros

Reliable
Efficient Service
Inspires Innovation
Caring

Cons

Slower Product Innovation
Under Delivered

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

Validated Review

Anonymous Reviewer

Submitted Oct 2023

Exceptional engagement

Likeliness to Recommend

10 /10

Pros

Reliable
Performance Enhancing
Enables Productivity
Inspires Innovation

PiLog Lean Data Governance (iMDRM)

What is PiLog Lean Data Governance (iMDRM)?

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

PiLog Lean Data Governance (iMDRM) Ratings

95 Likeliness to Recommend

100 Plan to Renew

93 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+95 Net Emotional Footprint

How much do users love PiLog Lean Data Governance (iMDRM)?

Pros

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

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

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."

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.

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.

Record Deduplication Ability to eliminate duplicate records in a datset.

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

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.

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

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

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.

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.

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.

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.

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.

PiLog Lean Data Governance (iMDRM) Reviews

Kannu P.

Data Governance Made Simple, Fast and Effective

Likeliness to Recommend

Pros

Streamlining Master Data Management Effortlessly

Likeliness to Recommend

Pros

Cons

Exceptional engagement

Likeliness to Recommend

Pros

Most Popular PiLog Lean Data Governance (iMDRM) Comparisons

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Feature Ratings

Aggregational Hierarchies Management

Golden Record Management

Metadata Management

Reference Data Management

Multi-Domain Mastering

Record Deduplication

Entity Deduplication

Record Linkage

Record Management

Intrinsic Data Model

Entity Relationship Management

Vendor Capability Ratings

Vendor Support

Business Value Created

Ease of Implementation

Ease of IT Administration

Usability and Intuitiveness

Breadth of Features

Ease of Data Integration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Quality of Features

Ease of Customization