Pando Analytics

Pando automates data reporting and reconciliation for OTT platforms, FAST Channels, AVOD, and SVOD applications.

General Information
Company Name
Pando Analytics
Founded Year
-
Location (Offices)
Salt Lake City, United States +2
Founders / Decision Makers
Number of Employees
3
Industries
Automation, Information Technology
Funding Stage
-
Social Media

Pando Analytics - Company Profile

Pando Analytics is a company that specializes in automating data reporting and reconciliation for OTT platforms, FAST Channels, AVOD, and SVOD applications. Given the vital role of Over-The-Top (OTT) content distributors in the global content supply chain, the influx of reports from various platforms is significant. These reports come in different formats, with varying data fields and frequencies, making it challenging for content creators and distributors to obtain timely and accurate monthly metrics, including revenue, content performance, benchmarks, comparisons, insights, and royalty payments.

Currently, the broken content supply chain results in significant resource expenditure, both in terms of time and money, to prepare incoming reports for accurate royalty payments and other crucial data-driven initiatives. Pando Analytics aims to address this issue by providing a solution designed by OTT insiders and world-class data scientists. The product automates, reconciles, standardizes, and cleans monthly OTT incoming reporting, allowing distributors to focus on revenue generation, content optimization, and subscriber and viewer acquisition and engagement.

Operating in the Information Technology sector, Pando Analytics is headquartered in the United States. Although specific details regarding the founding date and latest investment are unavailable, the company's dedication to streamlining the content supply chain and enhancing data reporting processes makes it a noteworthy player in the industry.

Taxonomy: OTT platforms, FAST Channels, AVOD, SVOD, data reporting, reconciliation, digital video content, content supply chain, revenue generation, content performance, royalty payments, data automation, data standardization, data cleaning

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