Download PDF
Urban Airship Lands the Perfect Embedded Data Platform with Powered by Looker
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Telecommunications
Applicable Functions
- Sales & Marketing
Use Cases
- Real-Time Location System (RTLS)
Services
- Data Science Services
The Challenge
Urban Airship, a mobile growth company, was facing a challenge in managing and analyzing a growing data pool while helping some of the world's best-known brands grow with mobile. Their clients had a growing demand for data and Urban Airship needed a data platform that was not only ideal for its customers but also for their product team. Flexibility was an important factor as Urban Airship's users are mobile marketers and mobile product owners, with a broad spectrum of technical backgrounds. They started to look at ways to provide user-level intelligence, along with the ability to slice and dice the data they collected in their product.
About The Customer
Urban Airship is a mobile growth company that powers mobile growth for some of the world's leading brands. They offer a suite of products to help clients implement customer engagement campaigns through their app, mobile wallet, and website properties. Their SDK automatically generates an array of data on behavioral activities which marketers can use to evaluate their campaigns and better interact with users. Urban Airship's users are mobile marketers and mobile product owners, with a broad spectrum of technical backgrounds.
The Solution
Urban Airship found the solution in Looker, a data platform that they could embed seamlessly into their products to help clients find unforeseen insights and unexpected value. Looker was chosen for its simplicity and lightweight nature despite being a powerful solution. It was the best fit with the technology stack they already had in place, primarily Java, JavaScript, and Python with a Redshift database. With Looker, Urban Airship provides high-level dashboards in its Urban Airship Insight product, allowing even moderately data-savvy marketers to run queries, explore new ways to look at their data, and find answers to tough questions.
Operational Impact
Related Case Studies.
Case Study
Vodafone Hosted On AWS
Vodafone found that traffic for the applications peak during the four-month period when the international cricket season is at its height in Australia. During the 2011/2012 cricket season, 700,000 consumers downloaded the Cricket Live Australia application. Vodafone needed to be able to meet customer demand, but didn’t want to invest in additional resources that would be underutilized during cricket’s off-season.
Case Study
SKT, Construction of Smart Office Environment
SK T-Tower is the headquarters of SK Telecom. Inside the building, different types of mobile devices, such as laptops, smartphones and tablets, are in use, and with the increase in WLAN traffic and the use of quality multimedia data, the volume of wireless data sees an explosive growth. Users want limitless Internet access in various places in addition to designated areas.
