Connect Callyzer and BigML to Build Intelligent Automations

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Callyzer

When this happens...

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BigML

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Event

New Event

Trigger's when new event occurs.

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for Callyzer

Do thisActions

Action is the task that follows automatically within your Callyzer integrations.

Fetch Employee Details

Fetch Employee Details

Retrieves details of registered employees, including numbers and tags.

Fetch Call History Report

Fetch Call History Report

Returns the total calls, total connected calls, and total call duration, broken down hour-wise for each day.

Fetch Summary Report

Fetch Summary Report

Retrieves call counts with Never Attended, Never Received, Unique Clients, and Working Hour.

Fetch Employee Summary Report

Fetch Employee Summary Report

Retrieves call counts, unique clients, and working hours for a given date range.

Create Anomaly Score

Create Anomaly Score

Calculates the anomaly score of a data instance.

Create Centroid

Create Centroid

Find out the closest cluster to your data instance

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Frequently Asked Questions

How do I start an integration between Callyzer and BigML?

To start, connect both your Callyzer and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Callyzer triggers actions in BigML (or vice versa).

Can we customize how data from Callyzer is recorded in BigML?

Absolutely. You can customize how Callyzer data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Callyzer and BigML?

The data sync between Callyzer and BigML typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Callyzer to BigML?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Callyzer and BigML?

Yes, you can set conditional logic to control the flow of data between Callyzer and BigML. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Callyzer

About Callyzer

Callyzer is a comprehensive call tracking and analytics platform designed to help businesses monitor and analyze their call data effectively. It provides insights into call patterns, durations, and sources, enabling businesses to optimize their communication strategies and improve customer interactions.

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BigML

About BigML

BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.

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