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How to Leverage Machine Learning for AML Compliance

BizAcuity

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics.

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Top 20 Data Warehouse Best Practices in 2024

Astera

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

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What to Consider When Moving Your CMDB Into Jira Service Management Cloud

Cprime

Investigating Existing Data Models: Understanding the current data structure, including how information is stored, categorized, and accessed, is paramount. Mapping Old to New: A crucial part of this stage involves mapping the existing data structure to the new one, ensuring no loss of essential information.

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Shift governance and data management to enable, not restrict, your organization

Tableau

Having complete, accurate data in all employees’ hands and workstreams helps organizations solve business problems with the customer journey in mind—especially in rapidly changing markets. With organizations accelerating to digital business practices, data is the key to transformation.

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Shift governance and data management to enable, not restrict, your organization

Tableau

Having complete, accurate data in all employees’ hands and workstreams helps organizations solve business problems with the customer journey in mind—especially in rapidly changing markets. With organizations accelerating to digital business practices, data is the key to transformation.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. However, most organizations struggle to become data driven. Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey.