Panoply is Now Integrated with Luzmo (formerly Cumul.io)

 

Luzmo, formerly Cumul.io, is an integrated analytics platform for smart enterprises & SaaS companies. It allows you to embed stunning, interactive dashboards directly inside your own platform or portal.

integration-stack-cumulio

Panoply’s integration with Luzmo lets you easily add all of your data sources into your own secure, reliable data warehouse, and connect it to Luzmo’s flexible visualization tool without writing a single line of code.

Set up is super easy, you can do it on your own - no need for help from your IT or engineering team.

From data to insights in no time, with no coding

With Panoply & Luzmo, you’ll go from raw data to fast analytical dashboards without writing a single line of code. Simply upload any type of structured, unstructured and semi-structured data from all your different sources into Panoply in a few clicks. Panoply will automate the complex ETL process and organize your data into neat, easily readable tables! Then, you can seamlessly connect Panoply to Luzmo to start building beautiful dashboards with simple drag & drop.

Speed up time-to-market with a self-serve data warehouse

By automating the whole process from data collection to visualization with Luzmo and Panoply, you won’t waste time and budget on developing a reporting component yourself or managing databases to make them scale. Rather, you can focus on your core business analytics, customer engagement and lifecycle. You’ll be able to set up your data stack in minutes, in just a few clicks.

 Get actionable data insights

Offer a beautiful, well-performing reporting module to your customers, inside your application. With automatic data modeling and easy ETL pipelines, Panoply ensures a fast and seamless experience. Luzmo ensures seamlessly embedded dashboards in any environment: white-labeled analytics, optimized for all screen sizes and devices. Impress your customers with well-presented insights into their business.

Get a free consultation with a data architect to see how to build a data warehouse in minutes.
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