
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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Real user data aggregated to summarize the product performance and customer experience.
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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
90 Satisfaction of Cost Relative to Value
1
Since last award
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.
+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?
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Monitoring and Administration
Dashboard
Record Deduplication
Data Source Connectivity
Data Cleansing
Data Enrichment
Reporting Components
Record Management
Data Profiling
Data Matching
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
PiLog Data Quality Management Reviews

Himanchal D.
- Role: Operations
- Industry: Manufacturing
- Involvement: End User of Application
Submitted Sep 2022
Excellent experience to associates with Pilog
Likeliness to Recommend
What differentiates PiLog Data Quality Management from other similar products?
User friendly and quick customer support
What is your favorite aspect of this product?
Data cleansing
What do you dislike most about this product?
No such till now
What recommendations would you give to someone considering this product?
Strongly Recommended
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
- Role: C-Level
- Industry: Chemicals
- Involvement: IT Leader or Manager
Submitted Aug 2022
one of the best DQM software, and easy to use
Likeliness to Recommend
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Cons
- Wastes Time

Jessica B.
- Role: Sales Marketing
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Jun 2022
Amazing Services Management Product.
Likeliness to Recommend
What differentiates PiLog Data Quality Management from other similar products?
Easy tools for easy to gather various data insights and excellent to provide accurate report.
What is your favorite aspect of this product?
To manage the data quality and data warehousing functionalities are effective and easy to use.
What do you dislike most about this product?
No issues on this solution and the initial starting when new user it was easy and security setting is simple.
What recommendations would you give to someone considering this product?
Multiple data pulling through its data source connectors is quick and secure and even the modeling and data mining on this platform is effective.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing