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Description
Ensure the accuracy and reliability of your address information by cross-referencing it with official Postal Authority databases. This will enhance delivery success rates, reduce the incidence of returned mail, and help you take advantage of postal discounts. Integrate address data sources with our robust cleansing transformations, allowing you to prepare your address data for validation and verification effectively. By identifying individual components within your address records, you can separate them into distinct elements. Address common typographical errors and format your data to adhere to industry standards, which will lead to improved mail delivery outcomes. Additionally, verify the legitimacy of addresses through the official USPS address database, determining if they are residential or commercial and confirming their deliverability with USPS Delivery Point Validation (DPV). Once validated, you can seamlessly merge this data back into various disparate data sources or create tailored output files that align with your organization’s operational processes. Ultimately, this comprehensive approach will significantly enhance the integrity of your address data and streamline your mailing operations.
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
API Access
Has API
Integrations
Facebook
X (Twitter)
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
Firstlogic
Country
United States
Website
firstlogic.com/products/data-quality-suite
Vendor Details
Company Name
Proden Technologies
Country
United States
Website
prodentechnologies.net/data-integration-tools.php
Product Features
Address Verification
Address Validation
Autocomplete
Automatic Formatting
Data Cleansing
Data Discovery
Data Quality Control
Data Verification
Geographic Maps
Geolocation
Metadata Management
Reporting / Analytics
Search / Filter
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services