Econet Zimbabwe
Transforming Business Operations with CDRlive
Econet Wireless Zimbabwe Limited, the foremost mobile telecommunications and digital solutions provider in Zimbabwe, has forged a path of innovation and excellence in the industry. Their partnership with Adapt IT Telecoms and utilisation of CDRlive technology has revolutionised business operations, ensuring seamless service delivery and unparalleled customer experiences.
Challenge
As Zimbabwe’s largest mobile operator, Econet faced the challenge of managing vast volumes of data while maintaining operational efficiency and regulatory compliance. 10 With over 16 million subscribers and a multitude of business functions to oversee, including network management, marketing strategies, financial insights, and subscriber analysis, Econet required a robust solution to streamline operations and drive business growth.
Solution Approach
In collaboration with Adapt IT Telecoms, Econet deployed CDRlive, a versatile and scalable solution capable of processing over 1.5 billion Call Detail Records (CDRs) daily. CDRlive was customised to cater to Econet’s specific business needs, including:
Network Insights
Traffic analysis, daily revenue tracking, and Ecocash payment reporting for enhanced network optimisation and financial transparency.
Marketing Analytics
Recharge analysis, voucher tracking, and subscriber behavior insights to drive targeted marketing campaigns and maximise revenue streams.
Financial Visibility
Trending analysis, revenue overview, and subscriber transaction monitoring for improved financial management and regulatory compliance.
Subscriber Management
Detailed subscriber analysis, classification into revenue-generating and non-revenuegenerating categories, and daily/monthly subscriber tracking for enhanced customer engagement and retention.
Results
Since implementing CDRlive, Econet Wireless Zimbabwe has experienced significant business improvements:
Operational Efficiency
Streamlined data processing and analysis, resulting in enhanced operational efficiency and reduced downtime
Revenue Optimisation
Insights-driven decision-making has led to increased revenue streams and improved financial performance.
Customer Experience
Targeted marketing campaigns and personalised services based on subscriber behaviour have enhanced customer satisfaction and loyalty.
Regulatory Compliance
Accurate reporting and data governance ensure compliance with regulatory requirements and industry standards.
Business Agility
CDRlive’s scalability and flexibility allow Econet to adapt to evolving business needs and market dynamics, ensuring continued growth and innovation.
System Specifications
Database
Technology | Oracle 12c |
|---|---|
Operating System | Solaris |
Size: | 200 TB |
Avg events loaded per day: | 1.5 Billion |
Daily peak event load capacity: | 3.5 Billion |
Hardware
Front end server (FTP): | FTP/SFTP: 16 cores / 32 GB RAM |
|---|---|
Front end server (Parsing) | ETL (x5): 16 cores / 32 GB RAM per VM |
Database server: | Oracle Database (x2): 96 cores / 192 threads / 256 GB RAM per DB server |
Storage: | Oracle Flash/cell and Oracle ZFS |
Conclusion
Econet Wireless Zimbabwe’s success story with CDRlive underscores the transformative impact of Adapt IT Telecoms’ technology in driving business excellence and customercentricity. As Econet continues to lead the telecommunications landscape in Zimbabwe and beyond, CDRlive remains a trusted partner, empowering Econet to unlock new opportunities, overcome challenges, and deliver unparalleled value to its subscribers and stakeholders.
Testimonial
“Econet was looking for a capable analytics service provider to assist in creating a data lake solution on our new Cloudera Data Platform. This would enable them to perform big data analytics, including business intelligence reporting, visualisation dashboards, and AI/ML use cases. Adapt IT partnered with Econet for their Big Data migration journey, providing a scalable and efficient data lake solution. This partnership allows Econet to perform advanced analytics on vast amounts of structured and unstructured data, integrating AI and Machine Learning capabilities into their analytics platform to derive deeper insights and enable predictive and prescriptive analytics.”
Hannes Van Heerden
Product Manager Adapt IT Telecoms
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