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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Enhance your customer data within a user-friendly environment by easily exporting it into Microsoft Excel and utilizing our plugin, which can be found in the Office Store for improved data quality. With our tool, you can transform data by abbreviating, elaborating, excluding, or normalizing it across five spoken languages and twelve distinct entity categories. You can assess the similarity between records through various comparison techniques, such as Levenshtein and Jaro-Winkler, and generate phonetic match keys for deduplication purposes, including DQ Fonetix™, Soundex, and Metaphone. Additionally, classify your data to determine what each piece represents—for instance, recognizing Brian or Sven as personal names, while identifying Road, Strasse, or Rue as elements of an address, and Ltd or LLC as legal suffixes for companies. You can also derive information such as gender from names and categorize contact information based on job titles and decision-making roles. DQ for Excel™ operates seamlessly within Microsoft Excel, making it both intuitive and straightforward to use, thus streamlining your data management processes effectively. Moreover, with its powerful features, you can ensure that your customer data remains accurate, relevant, and organized.

Description

Detect and address code and optimization challenges in real-time, mitigate data incidents before deployment, and oversee data-affecting code modifications comprehensively—from the operational database to the user interface dashboard. With automated, column-level data lineage tracing the journey from the operational database to the reporting layer, every dependency is meticulously examined. Foundational automates the enforcement of data contracts by scrutinizing each repository in both upstream and downstream directions, directly from the source code. Leverage Foundational to proactively uncover code and data-related issues, prevent potential problems, and establish necessary controls and guardrails. Moreover, implementing Foundational can be achieved in mere minutes without necessitating any alterations to the existing codebase, making it an efficient solution for organizations. This streamlined setup promotes quicker response times to data governance challenges.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Census
Databricks Data Intelligence Platform
Fivetran
GitHub
GitLab
Google Analytics
Google Cloud BigQuery
Looker
Microsoft Excel
Microsoft Teams
PostgreSQL
Slack
Snowflake
Tableau

Integrations

Amazon Redshift
Apache Airflow
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Census
Databricks Data Intelligence Platform
Fivetran
GitHub
GitLab
Google Analytics
Google Cloud BigQuery
Looker
Microsoft Excel
Microsoft Teams
PostgreSQL
Slack
Snowflake
Tableau

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DQ Global

Founded

1997

Country

United States

Website

www.dqglobal.com/products/dq-for-excel/

Vendor Details

Company Name

Foundational

Country

United States

Website

www.foundational.io

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Static Code Analysis

Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management

Alternatives

DataMatch Reviews

DataMatch

Data Ladder

Alternatives

DQ on Demand Reviews

DQ on Demand

DQ Global