How to combine data from Experian with Meltwater

Pipes allows you to quickly Integrate Experian with Meltwater data for a combined analysis.
Load data from Experian and Meltwater into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to Experian, Meltwater, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to Experian and Meltwater

You just need to enter the associated credentials to allow Pipes access to the Experian API and the Meltwater API.
3

Combine data from Experian and Meltwater

Pipes lets you select the data from Experian and Meltwater that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About Experian

Experian is a global information services company, providing analytical tools and data. It helps businesses to automate decision-making, target marketing offers, manage credit risk and prevent fraud. Clients use Experian to check credit scores, credit reports and to protect against identity theft.

About Meltwater

Meltwater is a media intelligence platform and social listening tool for measuring and managing corporate reputation. It helps businesses to improve their decision making with insights from the outside.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.