Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Accel-DS stands out as the sole tool available today that utilizes a zero coding, drag-and-drop interface to help you get started effortlessly. As you construct your dataset, you can view results in real-time within a user-friendly spreadsheet-like format! This same spreadsheet can be utilized to execute data cleansing transformations. This groundbreaking solution revolutionizes the conventional ETL development cycle, which typically involves writing code for extracting, transforming, loading, and finally reviewing results. Designed specifically with business and end users in mind, it allows for seamless integration of data from various sources, including databases, XML, JSON, WSDL, and streams like Twitter and Sys Log. No coding skills are necessary; simply drag and drop your data sources. Built from the ground up for Big Data, it enables the easy ingestion, cleansing, and transformation of data from any source into Hadoop or Big Data environments. It can efficiently load gigabytes of data from relational databases and files into Big Data systems in just a matter of minutes. Moreover, it supports both traditional and complex data types such as maps and structures, making it a versatile solution for diverse data needs. This versatility ensures that users can adapt the tool to fit their specific requirements without hassle.
API Access
Has API
No
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
DQ Global
Founded
1997
Country
United States
Website
www.dqglobal.com/products/dq-for-excel/
Vendor Details
Company Name
Proden Technologies
Country
United States
Website
prodentechnologies.net/data-integration-tools.php
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
Product Features
Data Quality
Address Validation
No
Data Deduplication
No
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
No
Metadata Management
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
Yes
Metadata Management
No
Multiple Data Sources
Yes
Web Services
No