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What is Typo?

TYPO is a cutting-edge solution aimed at improving data quality by correcting entry errors in real-time as they occur within information systems. Unlike traditional reactive tools that tackle data problems only after they have been stored, TYPO employs artificial intelligence to detect inaccuracies immediately at the point of input. This proactive approach enables swift correction of mistakes before they can be saved, thereby preventing potential complications in downstream systems and reports. The adaptability of TYPO allows it to be integrated across a wide range of platforms, including web applications, mobile devices, and data integration solutions. Furthermore, it continuously monitors data as it enters the organization or resides within the system itself. TYPO provides a comprehensive overview of data sources and points of entry, which include devices, APIs, and user interactions with various applications. Upon identifying an error, the system promptly alerts users, giving them the opportunity to correct inaccuracies on the spot. By leveraging sophisticated machine learning algorithms to detect errors, TYPO reduces the need for constant management and enforcement of data rules, enabling organizations to concentrate more on their primary operations. In the long run, TYPO not only boosts data integrity but also significantly enhances operational efficiency and accuracy across the board. This innovative approach to data management redefines how organizations can maintain high-quality information.

What is Data360 DQ+?

To bolster the integrity of your data both during transmission and while it is stored, it is crucial to adopt advanced techniques in monitoring, visualization, remediation, and reconciliation. Cultivating a strong commitment to data quality should be fundamental to your organization's ethos. Strive to exceed conventional data quality evaluations in order to develop a thorough understanding of your data as it moves throughout your organization, irrespective of its location. Implementing continuous quality monitoring and detailed point-to-point reconciliation is vital in building confidence in your data and delivering trustworthy insights. Data360 DQ+ simplifies the evaluation of data quality across the entire data supply chain, starting from when information first enters your organization and continuing to oversee data in transit. Operational data quality practices, such as verifying counts and amounts from diverse sources, tracking timeliness to meet both internal and external service level agreements (SLAs), and ensuring totals stay within established limits, are critical. By adopting these methodologies, organizations can greatly enhance their decision-making capabilities and drive overall performance improvements. Furthermore, integrating these processes into daily operations fosters a culture of accountability and precision, which ultimately leads to greater organizational success.

Media

Media

Integrations Supported

Blotout
Meltano
Safyr

Integrations Supported

Blotout
Meltano
Safyr

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Typo

Company Location

United States

Company Website

www.typo.ai/

Company Facts

Organization Name

Precisely

Date Founded

1968

Company Location

United States

Company Website

www.precisely.com/product/precisely-data360/data360-dq

Categories and Features

Data Quality

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

Categories and Features

Data Quality

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

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