Intake Method
Intake Method
coming soon
Classification
Classification
coming soon
Extraction
Extraction
coming soon
Validation
Validation
coming soon
Data Sources
Data Sources
coming soon
Risk Flows
Risk Flows
coming soon
Schema
Schema
coming soon
Outputs
Outputs
coming soon

Intake Method

This module explores the role of internal and external data sources in digital risk processing. It covers different data types, examines data enrichment techniques and introduces the five pillars of data analytics strategy, offering insight into how data shapes decision-making and risk assessment.

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1
Introducing Cytora
This lesson introduces you to the Cytora platform where we will examine - at a high-level - the early stages of digital risk processing within the Cytora platform.
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2
How the Input process begins
This lesson focuses on inputs into Cytora, beginning with an overview of the ingestion process.
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3
Challenges experienced in receiving and collecting items
This lesson delves into challenges encountered when sending items - including issues related to uniformity, documentation, and classification by type.
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4
Input Methods
This lesson discusses the various intake methods, including central destination and sending risks via mail to Cytora File address.
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5
Application Programming Interface (API)
This lesson introduces the Application Programming Interface (API) method, explaining what API is and why it's Cytora’s preferred method.
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6
Fully Digitised Intake
This lesson concludes Module 1 with the concept of fully digitised risks, prepared for assessment, highlighting the culmination of the digitisation process facilitated by Cytora.
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