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Contact us for all inquiries regarding services and general information






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Contact us for all inquiries regarding services and general information







Get in touch

Contact us for all inquiries regarding services and general information






Telecommunication sector

T-HT - Big Data pilot project

cloud-native-and-devops

Hrvatski Telekom d.d. chose to implement a Big Data platform based on IBM technologies, with CROZ experts.

Client

Working on this project was challenging and instructive, because dealing with three Big Data practical business cases we had the opportunity to apply the latest Big Data technologies such as sentiment analysis, streams analytics for processing large amounts of data (Internet of Things) using Hadoop as Big Data Storage.

Client

Case study

Main activity of Hrvatski Telekom d.d. (Croatian Telecom Inc.) is the provision of telecommunications services, design and construction of communications networks on the Croatian territory. The Group also provides fixed telephone line service (access and traffic through fixed telephone lines and additional fixed network), Internet services including IPTV, data transmission services (lease of lines, Metro-Ethernet, IP / MPLS, ATM) and operates GSM and UMTS mobile telephone networks.

 

Highly developed technological infrastructure facilitating further development of services is a guarantee of growth and potential. This is the reason why Hrvatski Telekom d.d. chose to implement a Big Data platform based on IBM technologies, with CROZ experts.

 

A Big Data Platform ready for Business Scenarios

Enterprises today must store and analyze more data from more sources than ever before. One of the goals of this project was to prove a thesis that Hadoop, as an underlying technology, provides a flexible, low-cost, proven platform over traditional data containers for long-term growth.

After successful installation and configuration of hardware and software assets, several data sources were chosen for project. For data-at-rest, existing CRM and Data Warehouse were used, as well as social media data collected using the CROZ Sentimenter solution. For Data-in-motion, streaming process was established for collection of data in real time from mobile stations / cells generating CDRs (Call Data Records); approximately 7 billion CDRs were analyzed.

 

Enterprises today must store and analyze more data from more sources than ever before. One of the goals of this project was to prove a thesis that Hadoop, as an underlying technology, provides a flexible, low-cost, proven platform over traditional data containers for long-term growth. IBM SPSS was used to explore hidden patterns in data and create different customer segments, revealing great insights for focusing of campaign targets. Also, interesting anomalous behavior was detected in several situations, such as extreme upload from a specific handset model, high traffic via Viber request from one handset, malware prediction from HTTP requests and so on.

Technologies we used

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