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What is Melissa Digital Identity Verification?

Melissa Digital Identity Verification, a cloud-based solution for KYC and AML, accelerates the process of onboarding customers while ensuring adherence to strict global compliance standards. This comprehensive tool allows users to utilize a single web service for identity verification, which encompasses national identification and the scanning and validation of ID documents. Additionally, it incorporates biometric authentication along with features such as liveness checks and age verification, while also offering access to sanction lists to identify restricted individuals and nationals. With Melissa Digital Identity Verification, organizations can streamline their compliance efforts while enhancing the security and efficiency of their customer verification processes. Ultimately, this solution not only simplifies the onboarding experience but also reinforces trust in the identity verification process.

What is Great Expectations?

Great Expectations is designed as an open standard that promotes improved data quality through collaboration. This tool aids data teams in overcoming challenges in their pipelines by facilitating efficient data testing, thorough documentation, and detailed profiling. For the best experience, it is recommended to implement it within a virtual environment. Those who are not well-versed in pip, virtual environments, notebooks, or git will find the Supporting resources helpful for their learning. Many leading companies have adopted Great Expectations to enhance their operations. We invite you to explore some of our case studies that showcase how different organizations have successfully incorporated Great Expectations into their data frameworks. Moreover, Great Expectations Cloud offers a fully managed Software as a Service (SaaS) solution, and we are actively inviting new private alpha members to join this exciting initiative. These alpha members not only gain early access to new features but also have the chance to offer feedback that will influence the product's future direction. This collaborative effort ensures that the platform evolves in a way that truly meets the needs and expectations of its users while maintaining a strong focus on continuous improvement.

Media

Media

Integrations Supported

Acryl Data
Amazon Redshift
Amazon S3
Apache Airflow
Apache Spark
Astro by Astronomer
Dagster
DataHub
Databricks Data Intelligence Platform
Flyte
Jupyter Notebook
Meltano
MySQL
PostgreSQL
Prefect
SQL Server
Secoda
Slack
Snowflake
ZenML

Integrations Supported

Acryl Data
Amazon Redshift
Amazon S3
Apache Airflow
Apache Spark
Astro by Astronomer
Dagster
DataHub
Databricks Data Intelligence Platform
Flyte
Jupyter Notebook
Meltano
MySQL
PostgreSQL
Prefect
SQL Server
Secoda
Slack
Snowflake
ZenML

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

Melissa

Date Founded

1985

Company Location

United States

Company Website

melissa.com

Company Facts

Organization Name

Great Expectations

Company Website

greatexpectations.io

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

KYC

Categories and Features

Data Quality

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

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