PiLog Inc

PiLog Data Quality Management

9.4 /10

47 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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2023 Emotional Footprint Champion

Latest Award, 2023

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

Latest Award, 2023

2023 Data Quadrant Gold Medalist

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.

97 Likeliness to Recommend

1
Since last award

100 Plan to Renew

91 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

+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 91

Record Deduplication

Data Monitoring and Administration

Usability

Dashboard

Data Enrichment

Data Source Connectivity

Data Cleansing

Data Profiling

Reporting Components

Record Management

Data Matching

Vendor Capability Ratings

Average 90

Breadth of Features

100

Business Value Created

100

Ease of Data Integration

100

Ease of IT Administration

100

Product Strategy and Rate of Improvement

100

Quality of Features

100

Usability and Intuitiveness

100

Vendor Support

100

Availability and Quality of Training

Ease of Customization

Ease of Implementation

PiLog Data Quality Management Reviews

Udit S.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Feb 2024

Proficiently workflow and easy to manage

Likeliness to Recommend

8 /10

What differentiates PiLog Data Quality Management from other similar products?

Ease of usability

What is your favorite aspect of this product?

Flexibility to use and regulation

What do you dislike most about this product?

Cost effectiveness

What recommendations would you give to someone considering this product?

This product is much more efficient in usability than other

Pros

Continually Improving Product
Reliable
Trustworthy
Unique Features

Rituja N.

Role: Information Technology
Industry: Banking
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Dec 2023

end-to-end data quality management & Reliable

Likeliness to Recommend

7 /10

What differentiates PiLog Data Quality Management from other similar products?

Auto Structured Algorithms & Compliance with Industry Standards differentiates Pilog Data Quality Management from other similar products

What is your favorite aspect of this product?

Robust Reporting and Analytical Features

What do you dislike most about this product?

The tool could be more user friendly

What recommendations would you give to someone considering this product?

PiLog Data Quality Management's focus on automation, compliance, robust reporting, and continual improvement sets it apart from other similar products, making it a valuable solution for enterprises seeking to maintain high standards of data quality

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Spandana K.

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

Validated Review

Verified Reviewer

Submitted Oct 2023

Truly a beneficial product

Likeliness to Recommend

10 /10

What differentiates PiLog Data Quality Management from other similar products?

I've never encountered such user-friendly and efficient processes for navigation and execution before. I'm genuinely impressed with how PiLog has innovated this solution to ensure 100% data quality. When it comes to migrating data from one system to another, we face no challenges thanks to PiLog's iDQM techniques and capabilities.

What is your favorite aspect of this product?

My favorite aspect of iDQM is its ability to effortlessly ensure 100% data quality, making data management a breeze.

What do you dislike most about this product?

I have no dislikes for this product; it has met all our expectations and requirements seamlessly.

What recommendations would you give to someone considering this product?

Achieving top-notch Data Quality Management is absolutely crucial. The increasing complexity of managing data from various sources, be it materials, services, or vendors, has made it a challenging task. To address these challenges effectively, I highly recommend considering a PiLog iDQM that can guarantee 100% data quality across the board.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

PiLog Data Quality Management

What is PiLog Data Quality Management?

Company Details

Need Assistance?

Awards & Recognition

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

PiLog Data Quality Management Ratings

97 Likeliness to Recommend

1 Since last award

100 Plan to Renew

91 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+99 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

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 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.

Usability Includes business-oriented interface made available to business and technical users in a manner relevant to their role.

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

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.

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.

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

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

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.

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

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

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.

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.

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.

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.

PiLog Data Quality Management Reviews

Udit S.

Proficiently workflow and easy to manage

Likeliness to Recommend

Pros

Rituja N.

end-to-end data quality management & Reliable

Likeliness to Recommend

Pros

Spandana K.

Truly a beneficial product

Likeliness to Recommend

Pros

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1
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Feature Ratings

Record Deduplication

Data Monitoring and Administration

Usability

Dashboard

Data Enrichment

Data Source Connectivity

Data Cleansing

Data Profiling

Reporting Components

Record Management

Data Matching

Vendor Capability Ratings

Breadth of Features

Business Value Created

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Quality of Features

Usability and Intuitiveness

Vendor Support

Availability and Quality of Training

Ease of Customization

Ease of Implementation