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What is Tilores?

Organizations that effectively harness data make use of the Tilores API to create a unified customer profile across diverse systems. They devise real-time solutions that aid in risk management, fraud detection, and the delivery of personalized digital experiences, all while circumventing complex engineering hurdles. Inconsistent, incomplete, and outdated customer information presents significant challenges for businesses striving to align their strategies and maintain accurate reporting. To effectively leverage customer data, organizations must first standardize their schemas and ensure seamless integration of both historical and new data. Even after establishing a centralized system with coherent customer data, additional development work is often required to maximize its potential. To facilitate this, it is crucial for the unified customer data to be consistently synchronized back to each department's individual source systems, effectively creating a distributed source of truth. This strategy allows businesses to manage risk more adeptly, proactively identify fraud, and improve customer service. By converting fragmented and siloed customer data into a holistic Customer 360 perspective, organizations can uncover valuable insights and enhance their decision-making capabilities. Ultimately, this integration leads to a more profound understanding of customer behaviors, which drives ongoing improvements and fosters innovation within the organization. As a result, companies not only become more agile but also position themselves to adapt to changing market dynamics.

What is Tamr?

Tamr provides a state-of-the-art data mastering platform that merges machine learning with human expertise to break down data silos, ensuring ongoing data validation and precise information dissemination throughout an organization. By partnering with leading companies worldwide, Tamr tackles major data-related obstacles they encounter. Address issues like duplicate records and inaccuracies to achieve a thorough understanding of your data landscape, encompassing aspects such as customers, products, and suppliers. This sophisticated data mastering solution not only enhances the synergy between machine learning and human insight but also ensures the availability of trustworthy data that effectively guides business strategies. Additionally, it delivers clean data to analytics and operational systems, significantly reducing the effort required by as much as 80% when compared to traditional approaches. Tamr enables financial institutions to adopt a data-centric methodology and improve their business outcomes, while also aiding public sector entities in accelerating their mission objectives by decreasing the manual workloads tied to data entity resolution. Ultimately, Tamr’s platform cultivates a more streamlined data environment, fostering innovation and enhanced decision-making across multiple industries, and positioning organizations to thrive in an increasingly data-driven world.

Media

Media

Integrations Supported

GraphQL
HubSpot CRM
HubSpot Customer Platform
Salesforce
Snowflake

Integrations Supported

AWS IoT SiteWise
AWS Marketplace
Lyftrondata
SAP Store

API Availability

Has API

API Availability

Pricing Information

$2000/month
Pricing is based on Unified Customer Records (UCRs), which is the ultimate number of customers you have in Tilores, regardless of the number of data records.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Mac

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Tilores

Date Founded

2021

Company Location

Germany

Company Website

tilores.io

Company Facts

Organization Name

Tamr

Company Location

United States

Company Website

www.tamr.com

Categories and Features

Identity Resolution

Not specified

Categories and Features

Big Data

Data Cleansing
Predictive Analytics

Data Preparation

Not specified

Data Validation

Not specified

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