PiLog Data Quality Management Customer Reviews 2025

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PiLog Inc

PiLog Data Quality Management

Composite Score

9.1 /10

CX Score

9.3 /10

57 Reviews

What is PiLog Data Quality Management?

PiLog's Intelligent Data Quality Management solution provides end-to-end Data Quality Management for enterprises. it automates standardization, cleansing & management of unstructured/free text data by utilizing ASA (Auto Structured Algorithms) built on PiLog's taxonomy and the catalog repositories of master data records. It also provides pre-configured templates, Auto Assignment of Class & Characteristics, and is fully compliant with ISO 8000, UNSPSC, and various other standards.

Company Details

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Awards & Recognition

PiLog Data Quality Management won the following awards in the Data Quality category

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2025 Data Quadrant Champion

Latest Award, 2025

11 Top Rated Capabilities

11 Top Rated Features

Latest Award, 2025

2024 Emotional Footprint Champion

2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2024

2024 Data Quadrant Champion

2024

11 Top Rated Capabilities

13 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2023

2023 Data Quadrant Champion

2023

10 Top Rated Capabilities

13 Top Rated Features

2023

PiLog Data Quality Management 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 Management.

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

2
Since last award

98 Plan to Renew

2
Since last award

89 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 PiLog Data Quality Management?

5% Negative

0% Neutral

95% Positive

Pros

Unique Features
Inspires Innovation
Respectful
Acts with Integrity

Feature Ratings

Average 89

Data Monitoring and Administration

Data Enrichment

Data Source Connectivity

Dashboard

Data Matching

Record Deduplication

Data Cleansing

Data Profiling

Reporting Components

Record Management

Geocoding

Vendor Capability Ratings

Average 89

Business Value Created

Breadth of Features

Ease of Implementation

Ease of Data Integration

Quality of Features

Product Strategy and Rate of Improvement

Ease of IT Administration

Vendor Support

Ease of Customization

Availability and Quality of Training

Usability and Intuitiveness

PiLog Data Quality Management Reviews

Amaresh G.

Role: Vendor Management
Industry: Energy
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jul 2023

Capable of Automate and Configurable.

Likeliness to Recommend

9 /10

What differentiates PiLog Data Quality Management from other similar products?

The PiLog iDQM tool set has been stable, allowing us to meet our project milestones. Overall implementation experience was okay.

What is your favorite aspect of this product?

The service that we get is good from the technical support team.

What do you dislike most about this product?

Require deep expertise to configure and run.

What recommendations would you give to someone considering this product?

Product functionality and performance are excellent and awful when compare to other software

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Chaitanya P.

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

Validated Review

Verified Reviewer

Submitted Jul 2023

Superior performance

Likeliness to Recommend

10 /10

What differentiates PiLog Data Quality Management from other similar products?

The Data Quality Management data cleansing features help improve the overall quality of asset data

What is your favorite aspect of this product?

Data cleansing and asset data visualization

What do you dislike most about this product?

Not at the moment

What recommendations would you give to someone considering this product?

A trustworthy asset quality information management software that enhances the overall quality of asset management practices.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Validated Review

Anonymous Reviewer

Submitted Jun 2023

Outstanding Training and Support for users

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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PiLog Data Quality Management

What is PiLog Data Quality Management?

Company Details

Need Assistance?

Awards & Recognition

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

PiLog Data Quality Management Ratings

95 Likeliness to Recommend

2 Since last award

98 Plan to Renew

2 Since last award

89 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+96 Net Emotional Footprint

How much do users love PiLog Data Quality Management?

Pros

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

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.

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.

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

Data Matching Includes fuzzy matching, data comparison, and data merging.

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 Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

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

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

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.

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

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.

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 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 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.

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

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 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.

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.

PiLog Data Quality Management Reviews

Amaresh G.

Capable of Automate and Configurable.

Likeliness to Recommend

Pros

Chaitanya P.

Superior performance

Likeliness to Recommend

Pros

Outstanding Training and Support for users

Likeliness to Recommend

Pros

Most Popular PiLog Data Quality Management Comparisons

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IBM InfoSphere QualityStage

SAP Data Services

Title

2
Since last award

2
Since last award

2
Since last award

Feature Ratings

Data Monitoring and Administration

Data Enrichment

Data Source Connectivity

Dashboard

Data Matching

Record Deduplication

Data Cleansing

Data Profiling

Reporting Components

Record Management

Geocoding

Vendor Capability Ratings

Business Value Created

Breadth of Features

Ease of Implementation

Ease of Data Integration

Quality of Features

Product Strategy and Rate of Improvement

Ease of IT Administration

Vendor Support

Ease of Customization

Availability and Quality of Training

Usability and Intuitiveness