Smarter Analytics

Communications service providers are experiencing unprecedented data volume growth. This data holds valuable information that could support decisions about new services, network optimization, subscription plans and churn management. But most providers cannot extract the answers to their key questions from all of this data.

• Are our promotions and services well aligned to the needs of our customers?
• Which customers are most likely to churn, and what will convince them to stay?
• How can we improve our budgeting and forecasting processes?
• What are the most effective ways to reduce operating and capital costs?
• How can we respond more quickly to market and business changes?

With IBM Smarter Analytics, you can gain a competitive edge by uncovering insights about customers, network performance and market trends, and using those insights to make better business decisions.

• Improve the customer experience, by gaining a better understanding of your customers, their behaviors and their preferences.
• See details about business and network performance across your entire organization, and discover ways to improve operational efficiencies.
• Predict changes in the market and your business and adopt new business models that enable more flexibility to manage those changes.

Bharti Airtel gained the ability to process 1.5 million new customers per month and focus resources on growing the business by integrating its channels and customer-facing processes to provide a more seamless customer experience.

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Sogecable increased customer retention by providing call center agents with instant, reliable information on each client and personalized offers that agents can use to improve customer relationships and loyalty.

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XO Communications implemented a predictive analytics solution that identifies the customers who are at greatest risk of churning, so the company can intervene and resolve issues before the customers switch to a different provider.

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C Spire Wireless replaced its outdated, inefficient budgeting system with a powerful business performance management solution that enables the company to produce dynamic, detailed budgets quickly and efficiently.

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iBasis replaced its data warehouse infrastructure with a solution that allows the company to quickly run and monitor call data reports, aggregating an enormous amount of data, so they can identify quality problems in real time.

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Globe Telecom adopted a flexible service delivery model that significantly reduced the cost and time required to design and deliver new promotions, increasing market share and revenue by improving the customer experience.

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Qualcomm consolidated its existing large data warehouses and implemented faster, simpler and more accessible advanced analytics, reducing the time to respond to business changes from several months to days.

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T-Mobile aggregated data at a network-wide level and can now perform nationwide searches to help support several departments, including network engineering and marketing.

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Sprint uses big data analytics to put real-time intelligence and control back into the network, driving a 90% increase in capacity.

• Watch the video (00:03:06)