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Tableau > 实例探究 > Telco team cuts network-assessment time from months to one week
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Telco team cuts network-assessment time from months to one week

技术
  • 分析与建模 - 大数据分析
  • 分析与建模 - 实时分析
适用行业
  • 电信
适用功能
  • 商业运营
用例
  • 预测性维护
  • 实时定位系统 (RTLS)
服务
  • 数据科学服务
挑战
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.
关于客户
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.
解决方案
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.
运营影响
  • Provided a 360° view of dataset that was not previously possible
  • Reduced time to generate skills gap report for technical support team
  • Staff across different departments at Alcatel-Lucent Shanghai Bell also use Tableau
数量效益
  • Cut assessment time from up to three months to one week

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