PiLog Inc

PiLog Data Quality Management

9.4 /10

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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.

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Awards & Recognition

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

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2024 Data Quadrant Gold Medalist

Latest Award, 2024

11 Top Rated Capabilities

13 Top Rated Features

Latest Award, 2024

2023 Emotional Footprint Champion

2023

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

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

100 Plan to Renew

91 Satisfaction of Cost Relative to Value

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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

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

Ease of Customization

Vendor Support

Availability and Quality of Training

Usability and Intuitiveness

PiLog Data Quality Management Reviews

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

Validated Review

Anonymous Reviewer

Submitted Jul 2023

A reliable hub

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Preeti M.

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

Validated Review

Verified Reviewer

Submitted Jul 2023

A system that never disappoints!

Likeliness to Recommend

10 /10

What differentiates PiLog Data Quality Management from other similar products?

Identification of anomalies, duplicates, and inconsistencies in the data is easier in the system while many tools cannot give proper output. It has significantly reduced the manual effort required for data cleanup, saving us valuable time and resources.

What is your favorite aspect of this product?

Data quality metrics and dashboards.

What do you dislike most about this product?

The iDQM is the best solution for maintaining data quality and I don't have any reason to dislike it.

What recommendations would you give to someone considering this product?

I wholeheartedly recommend PiLog Data Quality Management Solution to other organizations because it has empowered us to work with reliable data, streamline processes, and make data-driven decisions with confidence.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Khushhal P.

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

Validated Review

Verified Reviewer

Submitted Jul 2023

Complete data quality platform

Likeliness to Recommend

10 /10

What differentiates PiLog Data Quality Management from other similar products?

PiLog iDQM is a streamlined tool that can truly provide the much-needed management and prioritization you require when assessing data. This tool includes amazing functionalities such as data profiling, data cleansing, data enrichment, data monitoring, etc, and helps us to ensure that data is accurate, consistent, and reliable.

What is your favorite aspect of this product?

Data visualization

What do you dislike most about this product?

As of now, there is only one suggestion I would like to give to the technical team to be more proactive in responding to queries.

What recommendations would you give to someone considering this product?

With PiLog iDQM, you can truly meet your data management requirements.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

PiLog Data Quality Management

What is PiLog Data Quality Management?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

PiLog Data Quality Management Ratings

97 Likeliness to Recommend

100 Plan to Renew

91 Satisfaction of Cost Relative to Value

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

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.

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.

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.

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

A reliable hub

Likeliness to Recommend

Pros

Preeti M.

A system that never disappoints!

Likeliness to Recommend

Pros

Khushhal P.

Complete data quality platform

Likeliness to Recommend

Pros

Most Popular PiLog Data Quality Management Comparisons

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SAS Data Quality

IBM InfoSphere QualityStage

Cloudingo

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

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

Ease of Customization

Vendor Support

Availability and Quality of Training

Usability and Intuitiveness