Download PDF
Telco team cuts network-assessment time from months to one week
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Telecommunications
Applicable Functions
- Business Operation
Use Cases
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- Data Science Services
The Challenge
Alcatel-Lucent Shanghai Bell, a telecommunication and information enterprise in China, was facing challenges in analyzing network data. The company's professional services team was using Excel spreadsheets to sort data and manually chart and present the information. This process was time-consuming and the end deliverables did not provide many insights. The team couldn't see the full perspective of a communication network when they analyzed network data. Equipment assessments could take up to three months. The team needed a tool that could help them accurately identify the need for skills upgrades on the team and ensure that they are deploying staff with the right skill-sets to each on-site job.
About The Customer
Alcatel-Lucent Shanghai Bell is a telecommunication and information enterprise in China. The company delivers end-to-end telecommunications solutions and services in wireless and wireline, as well as network management. The company is dedicated to making communications more innovative, sustainable, and accessible for people, businesses and governments. Dr. Liu Qing, Director of Professional Service Innovation at Alcatel-Lucent Shanghai Bell, and his team of 10 data analysts work hard to ensure security and stability of its networks. The team is responsible for analyzing network data and identifying areas of discrepancies and irregularity to maintain a stable network and ensure security.
The Solution
The team evaluated a number of data analytics and visualization tools and found Tableau to be most suitable as it allowed them to work with a large amount of data easily and quickly. They use Tableau to analyze all kinds of data, large and small, including network log data and network equipment data. The data comes in structured and unstructured formats, originating from up to six different sources, belonging to various network applications. The team sometimes uses Splunk to clean up the data before feeding it into Tableau for analysis. Staff across different departments at Alcatel-Lucent Shanghai Bell also use Tableau. Staff now place relevant analytics findings on Tableau Server so that other users can access and make use of the information.
Operational Impact
Quantitative Benefit
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.
