Telecommunications organizations cannot ignore the need to engage in the moment by quickly and accurately predicting or detecting network and device problems that may affect the customer experience. Engaging in the moment requires proactive approaches to customer care that can greatly minimize
Is your data driving your daily customer interactions? Don’t ignore what analytics can be doing for you in the now. Instead, discover how arming yourself with data from the outset can help you meet customers where they are.
Compliance can mean much more than a regulatory headache if you let it. By reimagining compliance as a chance to innovate in its market, Turkish telecom provider Turkcell turned a bureaucratic headache into a business opportunity.
Companies everywhere are refocusing on the consumer, trying to become better acquainted with their customers in hopes of offering personalized offers and service that will keep consumers loyal and enthusiastic. Dealing with customers on an individual basis isn’t impossible for an organization that
When did your bank last wow you with its customer service? Financial institutions create and collect torrents of data each day, and advanced analytics can help them uncover the insights they need to wow their customers, thereby creating “confetti moments.” Listen to banking experts Boxley Llewellyn
Predictive analytics is bringing businesses and their customers together, creating value in the intersection of the two. Discover how you can transform your customer engagements by providing the marketing interactions your customers desire.
Cablevision Argentina is using sophisticated IBM Analytics software to uncover the causes of customer dissatisfaction and proactively identify unhappy customers. As a result, the company can accurately target service improvements, boosting customer satisfaction and loyalty.
The customer experience may not end with social media, but it can certainly begin there. Companies that use social media to connect have a direct line to customers, allowing them to keep in touch with their customers and enhance their marketing strategies while combating churn.
Do you strengthen your relationships with your customers by plugging them into your data? In this webcast, learn how you can use your data to disrupt your marketplace and engage your customers over the long term.
Using Twitter data and IBM analytics, telecommunications companies can fine-tune their churn models, better understand the products and services that their customers truly value and present existing customers with compelling offers—potentially recovering millions in lost revenue.
Let me begin with a story from my childhood. I grew up in India and, back in the early 80s, when Indian telecoms did not have a direct dial for international calls. My family used to call my uncle who was studying at M. I. T. and the call process was fairly complicated: we would call an
Insurers investing in the science of data and analytical capabilities can now monetize their data with greater certainty, creating value by customizing one-on-one policyholder interactions and personalized offers that quickly service their requests. Read the story that data can tell for insurance
The amount of data created is growing rapidly and it is expected that in 2020 we will create a minimum of 40 trillion gigabytes; 40 percent of all this data is expected to come from sensors or machine-to-machine data. All of this data will significantly impact global industries, from creating
The telecommunications industry has dealt with big data for years, for example tracking individual wires into peoples’ homes and places of business. Detailed billing to track time and duration of each telephone call, even for local billing in the 1980s, introduced a huge influx of data to manage
Marketing professionals understand that reliable customer and campaign information is one of the most valuable assets for producing effective, targeted marketing and for creating lasting business value. Customers are generating more data than ever – especially as their attention is fragmented