PiLog Inc

PiLog Data Quality Management

Composite Score

9.4 /10

CX Score

9.6 /10

53 Reviews Write a Review

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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.

97 Likeliness to Recommend

100 Plan to Renew

91 Satisfaction of Cost Relative to Value

100

Product Experience

Negotiation and Contract

Conflict Resolution

100

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 100%
Negotiation and Contract:: 99%
Conflict Resolution:: 98%
Strategy & Innovation:: 100%
Service Experience:: 98%

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.

+99 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?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Feature Ratings

Average 90

Data Monitoring and Administration

Dashboard

Record Deduplication

Data Source Connectivity

Data Cleansing

Data Enrichment

Record Management

Data Profiling

Data Matching

Reporting Components

Geocoding

Vendor Capability Ratings

Average 90

Business Value Created

Breadth of Features

Ease of Implementation

Quality of Features

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of IT Administration

Vendor Support

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness

PiLog Data Quality Management Reviews

Chikaike E.

Role: Human Resources
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Dec 2022

Great Features!

Likeliness to Recommend

8 /10

What differentiates PiLog Data Quality Management from other similar products?

The Data Monitoring and Administration Functions

What is your favorite aspect of this product?

Cleaning data is not that challenging

What do you dislike most about this product?

Managing data is not always easy. Requires skills

What recommendations would you give to someone considering this product?

PiLog is an excellent data quality management tool. It has effective functions and definitely offers value for money.

Pros

Helps Innovate
Reliable
Respectful
Continually Improving Product

Devi L.

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

Validated Review

Verified Reviewer

Submitted Sep 2022

standardized master data very well

Likeliness to Recommend

10 /10

What differentiates PiLog Data Quality Management from other similar products?

We will not used other products

What is your favorite aspect of this product?

Item master management

What do you dislike most about this product?

Product mater class should be review properly

What recommendations would you give to someone considering this product?

Product class required to more standardized.

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Satyen K.

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

Validated Review

Verified Reviewer

Submitted Sep 2022

VERY GOOD SOFTWARE

Likeliness to Recommend

8 /10

What differentiates PiLog Data Quality Management from other similar products?

VERY GOOD WORK IN CODE STANDARD WITH DETAIL.

What is your favorite aspect of this product?

CODE FULL DETAIL

What do you dislike most about this product?

VERY SLOW SOFTWARE

What recommendations would you give to someone considering this product?

VERY GOOD SPECIFICATION FOR ANY PRODUCT.

Pros

Trustworthy
Altruistic
Helps Innovate
Continually Improving Product

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

97 Likeliness to Recommend

100 Plan to Renew

91 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+99 Net Emotional Footprint

How much do users love PiLog Data Quality Management?

Chart

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.

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

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 Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

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

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external 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 Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

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

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

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.

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

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.

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.

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

Chikaike E.

Great Features!

Likeliness to Recommend

Pros

Devi L.

standardized master data very well

Likeliness to Recommend

Pros

Satyen K.

VERY GOOD SOFTWARE

Likeliness to Recommend

Pros

Most Popular PiLog Data Quality Management Comparisons

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Feature Ratings

Data Monitoring and Administration

Dashboard

Record Deduplication

Data Source Connectivity

Data Cleansing

Data Enrichment

Record Management

Data Profiling

Data Matching

Reporting Components

Geocoding

Vendor Capability Ratings

Business Value Created

Breadth of Features

Ease of Implementation

Quality of Features

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of IT Administration

Vendor Support

Availability and Quality of Training

Ease of Customization

Usability and Intuitiveness