Top 3 Use Cases For Business Intelligence in The Telecom Industry

In an industry as dynamic and competitive as telecommunications, analytics must be an ongoing activity. Incremental reports are fine—even necessary for certain metrics, but they don’t provide the same type of actionable insights that ad-hoc solutions generate.

The ability to answer all sorts of questions in seconds is just one benefit that business intelligence offers businesses in the telecom industry. Let’s look at some specific use cases below.

  1. Tap into Rich Customer Insights
    In our consumer golden age, no business area is more vital than customer happiness. Telecom business analytics software makes it easy to evaluate an array of customer happiness metrics to develop ways to retain more customers, identify users with high lifetime value and increase overall average customer spending.

    By loading various telecom analytic models into a platform like ThoughtSpot, any representative can easily search across a customer’s profile for information on device, data usage, location, spending, account history, and so on.

    This could be helpful for a marketing team looking to deliver tailored communications to the customer or for giving a customer care rep background knowledge ahead of an incoming customer service transfer call, and everything in between.

  2. Monitor Key Network Performance Metrics
    Customer information is merely one contributor to the massive volume of data that telecom companies harvest. All sorts of network and service-related data are continually being tracked as well.

    But without an intelligent BI network, telecom companies have no efficient nor effective way to derive value from their vast data. Instead of companies using telecom analytics to clarify the picture in seconds, they’re limited to memory and guessing.

    Using ThoughtSpot’s relational search platform, a telecom employee could look up “network interruptions by zip code 2015-2018” and be served a visualization of the locale’s last few years of service hiccups. The rep could quickly add another zip code to compare results or zoom in to take a weekly or monthly view.

    What’s more, SpotIQ, built on top of our relational search database, delivers hidden findings along with every question it answers.

    A regional operations manager could be looking for information on cell tower maintenance history only to find that a particular tower has been mostly untouched since installation. If this insight is unusual compared to the maintenance histories of other towers with similar age, SpotIQ might alert the operations manager of the data anomaly.

  3. Drive Monetary Value from Actionable Insights and Hidden Trends
    The power to access knowledge in seconds is the biggest revenue driver your company has at its disposal. Using telecom analytic models gives companies the ability to better manage their network infrastructure, including earlier and more accurate forecasting of network capacity and demand and responding to network interruptions more promptly.

    In general, equipping your workforce with the power of search analytics makes your operation smarter. Whether you’re identifying high-value customer segments, evaluating subscriber actions from a recent campaign, looking for ways to cross- or upsell a customer on a product they’re interested in or trying to provide proactive customer care, self-service BI leads the way in the telecom industry.

There’s a wealth of insights lying in your data. Get started in a free trial to see how ThoughtSpot’s telecom business intelligence brings those insights to life.

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