---
title: "Prerequisites"
url: https://docs.catalyst.zoho.com/en/tutorials/billing-and-subscription-metrics/prerequisites/
description: "Create a powerful ML pipeline that analyzed billing and subscription metrics for an OTT platform using the Catalyst QuickML components."
last_updated: 2026-09-23T13:11:30Z
service: All Services
type: tutorial
related_links:
  - name: "Time Series Algorithm"
    url: /en/quickml/help/ml-algorithms/time-series/
---

# Prerequisites

Because this tutorial is focused on **[Catalyst QuickML](https://docs.catalyst.zoho.com/en/quickml/getting-started/introduction/)**, all tasks—including dataset preparation, pipeline creation, model training, and deployment—will be performed within the Catalyst console.

Before getting started, download the following dataset:

[OTT_Platform_Billing_Subscription_Metrics.csv](https://workdrive.zoho.in/file/s3q013a8ee619ac214b9aad9f57092e7ee3b8)

This dataset will be preprocessed and used to train a **[multivariate time series forecasting](https://docs.catalyst.zoho.com/en/quickml/help/ml-algorithms/time-series/)** model with VAR in QuickML.