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Recharge-Payments-to-Snowflake–Made-Easy | Saras Analytics
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Recharge Payments to Snowflake – Made Easy

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eCommerce

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Replicate Recharge Payments to Snowflake in minutes

Do you want to migrate data from Recharge Payments to the Snowflake data warehouse instantly? There is a quick and easy way of data transfer using a cloud data pipeline: Daton.

Due to severe competition, modern-day companies are striving to be more data-driven. It becomes necessary to understand demand and supply trends, maximize the revenue, get more ROIs out of Ad campaigns, and offer an engaging and seamless experience for customers to optimize their business. Data coming from Recharge Payments need to be fed into marketing tools to provide more personalized ads to customers. These feeds would help optimize the various processes and give a more personalized experience to customers, which would increase conversion rates, thus increasing revenues & reducing losses. Since various tools create different data silos in use, it makes generating reports and analyzing these data difficult and time-consuming. Top companies reduce the time & effort of reporting and analyzing their multiple data silos by integrating these massive amounts of data from Recharge Payments to Snowflake. Data consolidation makes the process of reporting generation and analysis simpler.

 

Why integrate Recharge Payments to Snowflake?

Payment Gateways and subscription platforms like Recharge Payments generate many data like payment dropouts, payment methods, fraud attempts, and subscriber data. Use these data to obtain meaningful insights, like when a customer requires the EMI option to make a payment, payment declines due to insufficient funds, or security issues. Customers whose payment declines can purchase again if remarketed later with a discount. This can reduce the subscription bounce rate for companies and increase revenues. Use the data generated from Recharge Payments to improve marketing campaigns, provide customized customer support, and improve inventory budget allocations.

Leading companies use a data warehouse like Snowflake to consolidate all the data, enabling easier reporting, faster analysis, and decisive actions. Integrating all the different sources into Snowflake is a complicated process that takes a lot of development time and post-integration maintenance time and cost. Daton is a highly automated data pipeline that integrates data from Recharge Payments to Snowflake without requiring any coding or maintaining scripts.

 

Recharge Payments Overview

Recharge Payments is the leading subscription solution for online businesses. It helps to modify one-time products into subscription options. Recharge Payments uses rule sets that manage the entire subscription processes. Customers will be charged based on the order of a subscription product after signing up. Recharge Payments will then fill up the customer’s credit card with the selected payment processor. Recharge Payments automatically renews an order to monitor it from the e-commerce software whenever a customer is charged. The orders also connect to all integrations that deal with fulfilment, accounting, and inventory. Recharge Payments has a robust customer retention feature to help businesses reduce subscription bounce rates. Customers can select their reason for cancelling their subscription. It also offers a custom incentive to get them to continue their subscription.

 

Snowflake Overview

The Snowflake platform enables users to have a petabyte database and an infinite computation scale without database management. You can only extract data from Snowflake through SQL query operations. Snowflake’s cloud data platform breaks down barriers that prevent organizations of various sizes from producing actual value from their data. Thousands of users leverage Snowflake to advance their companies beyond their ability by drawing all their relevant insights from all data generated by the business. Snowflake gears up the enterprises with a single, integrated platform that is the only cloud-built data warehouse. It is instant, secure and has controlled access to their entire data network. A core architecture also exists that facilitates various kinds of data workloads, including a framework to build modern data applications. Snowflake manages all aspects of data storage: organization, metadata, structure, compression and statistics.

 

How to replicate Recharge Payments to Snowflake?

There are two major ways in which you can load data from Recharge Payments to Snowflake data warehouse.

Build Your Own data pipeline

Building an in-house data pipeline needs a lot of experience, time and manpower with higher chances of errors. You need to extract data using Amazon APIs & then connect it properly with the Amazon Redshift data warehouse.

Use Daton to integrate Amazon Ads & Amazon Redshift

Using Daton to integrate Amazon Ads & Amazon Redshift is the fastest & easiest way to save your time and efforts. Leveraging an eCommerce data pipeline like Daton simplifies and accelerates the time to build automated reporting to a great extent.

Configuring data integration on Daton only takes a few clicks. Analysts do not have to write any code or manage any infrastructure, yet they can get access to their Amazon ads data in a few hours. Daton’s simple and easy to use interface enables analysts and developers to use UI elements to configure data replication from Amazon Ads data into Amazon Redshift.

Daton takes care of:

  • Authentication
  • Rate limits,
  • Table creation, deletion & reloads
  • Refreshing access tokens,
  • Sampling,
  • Historical data load,
  • Incremental data load,
  • Notifications

and many more important features to help analysts focus on analysis rather than worry about the data.

 

Steps to Integrate Recharge Payments with Daton

Daton - The Data Replication Superhero
  • Sign in to Daton
  • Select Recharge Payments from the Integrations page
  • Provide Integration Name, Replication Frequency, and History. Integration name would be used in creating tables for the integration and cannot be changed later
  • You will be redirected to Recharge Payments login for authorizing Daton to extract data periodically
  • Post successful authentication, you will be prompted to choose from the list of available Recharge Payments Ad accounts
  • Select required tables from the available list of tables
  • Then select all required fields for each table
  • Submit the integration

For more information, visit ReCharge Payments Connector.

Sign up for a trial of Daton Today!

 

Here are more reasons to explore Daton for Recharge Payments to Snowflake Integration.

  • Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. There is no infrastructure to manage or no code to write.
  • Faster Integration of Recharge Payments to Snowflake– Recharge Payments to Snowflake is one of the integrations Daton can handle very fast and seamlessly. By following few steps, you can easily connect Recharge Payments to snowflake.
  • Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus instead of analysis and insights!
  • Robust Scheduling Options: allows you to schedule jobs based on their requirements using a simple configuration step.
  • Enterprise-grade encryption gives your peace of mind.
  • Support for 100+ data sources – In addition to Recharge Payments, Daton can extract data from a varied range of sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms and much more. Daton will ensure that you have a way to bring any data to Snowflake and generate relevant insights.
  • You get an enterprise-grade data pipeline at an unbeatable price to help every business become data-driven. Get started with a single integration today for just $10 and scale up as your demands increase.
  • Support for all major cloud data warehouses, including Google BigQuery, Snowflake, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL and more.
  • Flexible loading options allow you to optimize data loading behaviour to maximize storage utilization and ease of querying.

For all sources, check our data connectors page.

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