Qlik > Case Studies > Pelephone Communications Deploys QlikView to Improve Network Surveillance

Pelephone Communications Deploys QlikView to Improve Network Surveillance

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Customer Company Size
Large Corporate
Region
  • Asia
Country
  • Israel
Product
  • QlikView Business Discovery platform
  • RBS application in QlikView
  • Google Maps
Tech Stack
  • Oracle
  • Excel
Implementation Scale
  • Departmental Deployment
Impact Metrics
  • Productivity Improvements
  • Customer Satisfaction
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
  • Telecommunications
Use Cases
  • Real-Time Location System (RTLS)
  • Process Control & Optimization
Services
  • Software Design & Engineering Services
About The Customer
Pelephone Communications is Israel’s leading 3G mobile service provider. Since its establishment in 1986, the company has been a pioneer in the mobile communications sector in Israel. It was the first provider to offer mobile phone services in the country. Currently, Pelephone has 2.9 million subscribers and employs 3800 people. The company is a leader in mobile content in terms of subscriber numbers and use. It serves all government ministries, prominent defense systems manufacturer Rafael, Dan Hotels, IBM, and major organizations in healthcare and financial services. Pelephone provides customers with advanced mobile internet services, enabling them to surf hundreds of leading content sites suitable for mobile phones. Independent research has found that surfing on iPhones that run on the Pelephone network is the fastest in the world.
The Challenge
Pelephone Communications, a leading 3G mobile service provider in Israel, was facing challenges in improving network resilience and analyzing data services delivery. The company was operating in a highly competitive and unregulated market, where customers had high expectations of network speed and reliability. To meet these expectations and ensure high-quality user experience, Pelephone decided to enhance its network speed and reliability. However, the company's existing business intelligence software, SAP BusinessObjects, was no longer suitable as it was IT-centric and had performance issues. It could take up to 30 minutes for a single query, which was unacceptable for the network operations center. Therefore, the team of 75 engineers started looking for alternatives.
The Solution
After evaluating the market, Pelephone decided to deploy the QlikView Business Discovery platform. This platform was chosen to provide 150 users in the engineering division with a more centralized business model to improve operational agility. The main application in QlikView, RBS, integrates with Google Maps to monitor radio frequency network performance geographically. This is used for monitoring the signal from the antennae that carry all call and data traffic. The QlikView dashboard in the engineering division monitors 50 key performance indicators (KPIs). Additionally, faulty antennae can now be identified by location because of the GIS integration. A performance issue, for example, caused by component capacity being reached, is visible through decreasing performance on the dashboard.
Operational Impact
  • QlikView has changed the way Pelephone engineers work. Unlike BusinessObjects, QlikView enables users to obtain self-service reports rapidly rather than commissioning them through central IT.
  • For the marketing and sales operations, users can obtain self-service reports from Oracle showing per subscriber data, all calls, location of each part of a call, call data received from the internet, type of data, and URLs.
  • A QlikView application also monitors three KPIs for every device downloading data services. It shows the success rate per page load, number of requests per page, and time to process, as well as the response rate.
Quantitative Benefit
  • QlikView is now used for 90% of the work in the engineering division.
  • Weekly engineering division meetings now focus on network performance and identify through KPI analysis the parameters to improve performance.

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