CARTO for Telecoms & Big Data: Crowdx Analyzing Big Data for Even Bigger Customer Returns
Customer Company Size
Large Corporate
Country
- Worldwide
Product
- Crowdx Dashboard
- CARTO's Location Intelligence Platform
Tech Stack
- Data Visualization
- Big Data Analytics
- Location Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Big Data Analytics
Applicable Industries
- Telecommunications
Applicable Functions
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
- Predictive Quality Analytics
Services
- Data Science Services
- System Integration
About The Customer
Crowdx is a telecommunications analytics firm that specializes in crowd sourced technology. The firm enables true insights on customer experience by using modern crowd sourcing techniques to improve network quality and operational efficiency. Among the world’s largest telecoms analysis operations, Crowdx is a leading supplier of data analysis and crowd sourced big data solutions.
The Challenge
The telecommunications industry has limited visibility of the end customer quality experience. Assessing mobile phone users' needs is challenging due to barriers of access to actual, accurate customer experience related information. The two standard methods of collecting network quality information, through a drive test and by collecting data within the network from nodes, are either costly and inefficient or only provide an estimation and a very limited network centric view of the customer experience. Telecoms struggled to analyze trends and variances in traditional formats. In some cases, they lacked pertinent information to make timely decisions and take corrective action.
The Solution
Crowdx set out to develop an accurate and agile data-visualization set of dashboards to display cell towers and network quality related information sourced by mobile devices used by real customers. The Crowdx dashboard is capable of analyzing metrics, such as signal strength, network availability, reliability, internet speeds, and application performance. The goal was to implement an innovative dashboard to help with network planning, maintenance, optimization, and benchmarking. The incorporation of CARTO into the Crowdx dashboard includes layers, real time data visualization, and scalable APIs. The dashboard enables users to view where their mobile signals are the strongest, as well as their competitors, with a simple toggle feature.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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.
