Big Data in Telecom: The Need for Analytics
No one wants to hire a team of database analysts and wait three days for an answer
By: Bob Hockman
Feb. 13, 2012 06:30 AM
Networks have become a strategic asset, the life blood of organizations. Once considered a "techy thing," networks are now mission-critical for every member of the organization - from the IT manager to the marketing VP to the CEO. An increasing number of companies now recognize the impact network quality has on the customer experience and, in turn, on the bottom line.
Providing a great customer experience, every time, is vital for limiting churn and building loyalty. This has led many organizations to adopt a strong quality assurance program to test and monitor all contact center services. This is particularly important in environments that must support multi-channel and multi-service applications. The complex configurations needed to enable voice, video and data to share network resources puts a tremendous strain on bandwidth and creates problems that can be very difficult to isolate. And the proliferation of mobile devices has added an entirely new set of issues and customer behaviors.
Network testing and quality assurance monitoring is important for creating and maintaining a great customer experience. However, these solutions capture a tremendous amount of information on customers, networks and operations. Managers constantly create reports with a slew of KPIs, including average hold time, peak chat volumes, queue lengths and IVR satisfaction rates, to try to make sense of all the data. While this provides a certain amount of understanding of daily operations, companies can do better. Advanced network analytics that correlate and trend multiple data points and KPIs over multiple dimensions offer real insight that companies can use to gain greater control over expenses, resolve issues more quickly and plan more effectively.
Using Analytics to Troubleshoot
Proactively performing this type of network analysis enables companies to predict problems and correct them before they affect customers. When actual failures do occur, multi-dimensional network analytics, coupled with the ability to drill into micro events, significantly reduces time to repair. This can also reduce churn and support costs. To sum it up, the ROI for this type of solution is easily calculated and quickly realized.
Going beyond standard contact center metrics provides greater visibility into individual business unit performance. Rather than reading a report that outlines average call stats, it's far more interesting to understand how long a VIP customer spends talking to a dedicated agent or how often people are requesting certain types of information, such as mortgage rates. Some questions the contact center can gain insight to through analytics include:
When this type of intelligence is correlated, it paints a detailed analysis of network performance, enabling managers to pinpoint infrastructure investments to strategically enhance those experiences.
It also helps marketing and sales departments refine their strategies or develop new business models to capitalize on evolving customer needs.
An Effective Commitment
To be effective, companies need a solution designed to handle "big data." No one wants to hire a team of database analysts and wait three days for an answer. Companies need a network analytics solution that quickly manipulates information and presents it in a meaningful way for specific job functions. Being able to see trends and drill into micro events give troubleshooting technicians an edge. Holistic, end-to-end insight into network performance enables more effective planning, optimization of technology investments and greater control over costs. Executive dashboards and trend reports provide management teams with the intelligence they require to exploit customer needs and find new profit opportunities. With analytics, doing what's right - from the control room to the board room - will give companies a long term advantage in any market.
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