Case studies

Timely Analytics for Business Intelligence (TABI)
Today's Business Intelligence solutions are successful in accessing the data and transforming the data into business information. However, they are not successful enough in directly linking information to a timely action and value – by the time the data is processed, it is often outdated and less relevant.

Solution
Middleware solutions from IBM that will enable a Telco provider to act on the information immediately by processing the data in near real-time – improving customer service, increasing sales and extending BI capabilities and offerings. The solution will integrate Research Massive Data Collection and the Parallel Machine Learning toolbox. In addition, the analytic layer will be integrated with SWG DataStage to enhance its real-time analytical capabilities, thus providing solutions in multiple tiers.

Benefits

• Enables telecom providers to act on information immediately by processing call data records in "near real-time".
• Completes business intelligence tasks up to 30X faster compared to current solutions.
• Enables new opportunities for telcos to dynamically improve mobile/customer service, offer incentives, detect fraud and reduce customer churn.
• Leverages IBM Massive Collection System, which can process upwards of 1 Billion data records per day building on innovations in IBM's Parallel Machine Learning suites.
• Enables new BI capabilities for telcos to make "pin point" decisions that were not previously possible before TABI's data processing innovations.
• 50% increase in the ability to predict customer churn

Press