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What is Kalinda?

Legislative frameworks establish the parameters for how information can be shared and the circumstances that warrant such exchanges. To improve the effectiveness of information sharing among various agencies during the investigation of specific cases, techniques for data matching and discovery are utilized. Central to the Kalinda system is a sophisticated machine-learning algorithm that is adept at linking individual records from different agencies by scrutinizing personal details like name and date of birth, in addition to the features of related individuals. Comprehensive investigations often require exploring relationships between individuals or locations, particularly when faced with incomplete datasets. Kalinda is adept at processing inquiries that involve partial matches concerning people, places, and their connections. Furthermore, it boasts advanced algorithms that facilitate the identification of records that are similar to those already matched through probabilistic record matching techniques. This functionality greatly expands the range of possible leads during investigations, solidifying Kalinda's status as an essential resource for law enforcement and investigative bodies. Consequently, as technology evolves, the potential applications of systems like Kalinda will likely continue to grow, further transforming the landscape of investigative work.

What is DataMatch?

The DataMatch Enterpriseâ„¢ solution serves as a user-friendly tool for data cleansing, specifically designed to tackle challenges associated with the quality of customer and contact information. It employs an array of both unique and standard algorithms to identify inconsistencies that may result from phonetic similarities, fuzzy matches, typographical errors, abbreviations, and domain-specific variations. Users have the ability to implement scalable configurations for a variety of processes, including deduplication, record linkage, data suppression, enhancement, extraction, and the standardization of business and customer data. This capability is instrumental in helping organizations achieve a cohesive Single Source of Truth, which significantly boosts the overall effectiveness of their data management practices while safeguarding data integrity. In essence, this solution enables businesses to make strategic decisions rooted in precise and trustworthy data, ultimately fostering a culture of data-driven decision-making across the organization. By ensuring high-quality data, companies can enhance their operational efficiency and drive better customer experiences.

Media

Media

Integrations Supported

Integrations Supported

Act!
Act-On
Adobe Marketo Engage
Bullhorn
Eloqua
Google Ads
Highrise
HubSpot CRM
Magento
Mailchimp
Microsoft Dynamics 365
NetSuite CRM
Oracle CRM On Demand
SAP Commerce Cloud
Salesforce Agentforce Marketing
SendGrid
Sugar Sell
Veeva CRM
Zoho CRM
unTill

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Kalinda

Company Location

Australia

Company Website

www.factil.io/products/kalinda/

Company Facts

Organization Name

Data Ladder

Date Founded

2006

Company Location

United States

Company Website

dataladder.com

Categories and Features

Data Matching

Not specified

Government

Not specified

Categories and Features

Address Verification

Not specified

Data Deduplication

Not specified

Data Matching

Not specified

Data Quality

Data Deduplication
Match & Merge

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