PiLog Inc

PiLog Data Quality Management

Composite Score

9.4 /10

CX Score

9.6 /10

48 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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2024 Emotional Footprint Champion

Latest Award, 2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

Latest Award, 2024

2024 Data Quadrant Gold Medalist

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 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.

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

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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.

+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

Usability

Data Monitoring and Administration

Dashboard

Record Deduplication

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

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

Madhava R.

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

Validated Review

Verified Reviewer

Submitted Oct 2023

Intelligent and remarkable

Likeliness to Recommend

10 /10

What differentiates PiLog Data Quality Management from other similar products?

PiLog's data quality management solution enhances data quality and establishes standardized sets of information. It streamlines processes, making them transparent and facilitating the achievement of our objectives. Additionally, the platform provides seamless data migration capabilities, allowing us to effortlessly upload raw data from various source files with zero errors.

What is your favorite aspect of this product?

Data migration and processing are fundamental pillars in upholding data quality, and PiLog's data quality management encompasses all the necessary tools and features to efficiently achieve the desired results.

What do you dislike most about this product?

The tool is lacking with good UI/UX

What recommendations would you give to someone considering this product?

The platform's seamless data migration capabilities eliminate the headache of uploading raw data from different source files, ensuring error-free operations. Embrace this solution, and you'll find it to be an indispensable tool for elevating your data quality and data management processes.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Peeravalli B.

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

Validated Review

Verified Reviewer

Submitted Oct 2023

A service oriented platform

Likeliness to Recommend

10 /10

What differentiates PiLog Data Quality Management from other similar products?

I thoroughly appreciate utilizing this robust and all-encompassing data quality management tool. It has consistently performed exceptionally, providing us with optimal data management and integration. We have encountered no issues with it thus far, and it is truly outstanding.

What is your favorite aspect of this product?

Its design is incredibly intuitive, and that's what I appreciate most about it. There are various other features as well.

What do you dislike most about this product?

There is nothing to dislike about.

What recommendations would you give to someone considering this product?

Numerous benefits await your business when you consider PiLog Data Quality Hub. Give it a try.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

PiLog Data Quality Management

What is PiLog Data Quality Management?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

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

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

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 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

Spandana K.

Truly a beneficial product

Likeliness to Recommend

Pros

Madhava R.

Intelligent and remarkable

Likeliness to Recommend

Pros

Peeravalli B.

A service oriented platform

Likeliness to Recommend

Pros

Most Popular PiLog Data Quality Management Comparisons

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Feature Ratings

Usability

Data Monitoring and Administration

Dashboard

Record Deduplication

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