Ibm Data Analytics Case Study

Telecom companies are sitting on a gold mine, as they have plenty of data. But what they require is a proper digging and analysis of both structured and unstructured data to get deeper insights into customer behaviour, their service usage patterns, preferences, and interests real-time. Here is where Big Data comes in. In this post, we present a list of 11 interesting Big Data case studies in Telecom.

1. Mobile Telecom Harnesses Big Data with Combined Actuate and Hadoop Solution

The ability to report directly from Hadoop is the most important thing we have achieved to date and our activities are continually evolving. Actuate has made what appeared to be a large-scale and difficult problem an easy one to solve. [Download]

2. Re-engineering a Telecom Market Share Analytical Application

IBM has helped a leading telecom industry data analytics provider re-engineer their market measurement product. The effort included re-engineering of data integration processes, workflow automation, developing new custom user interfaces and building a set of IBM Cognos reports. The result was a new product that delivered high quality deliverables to our customer’s clients while simultaneously reducing the volume of support needed by 55%. [Download]

3. Telco Case Study: Vodafone and Argyle Data on using big data to combat fraud

Using big data to prevent impacts from fraud has been part of the focus in a case study discussed by Vodafone and Argyle Data in this video from the recent Telecom Council Carrier Connections event in Silicon Valley. [Download]

4. Globe Telecom: Gaining marketing agility with smart promotions

Globe Telecom, based in the Philippines, needed a better way to attract and retain value-conscious mobile customers. The company teamed with IBM and Nokia to deploy an SOA-based service creation and delivery platform that helps to rapidly create targeted customer promotions. [Download]

5. Ufone Uses Advanced Analytics to Study and Capitalize on Customer Behavior

In the past, marketing often meant fliers jamming mailboxes, unwanted phone calls during dinner and show-stopping television commercials. Unfortunately, these campaigns were targeted in a scattershot approach, at best. If a company could get just a few people to respond from 10,000 contacts, the initiative was considered a success. [Download]

6. Benefiting from big data: A new approach for the telecom industry

How much can companies in the telecommunications industry benefit from “big data”? That’s a critical question. Every operator is searching for new ways to increase revenues and profits during a time of stagnant growth in the industry, but few have demonstrated the capabilities needed to make the most of this new technology. [Download]

7. It’s not just Big Data… It’s Gigantic Data: A Telecom Case Study

A global mobile communications service provider wanted to understand customer location and travel patterns to support realtime promotions, advertising and up-sell of services. In addition, they desired additional, textured information to improve the quality of their network operations and provide enhanced customer service for their most important customers. [Download]

8. Analytics: Real-world use of big data in telecommunications

Big data has the potential to place communications services providers (CSPs) in a prime position to win the battle for customers and create new revenue streams. It provides them with a wealth of information about their customers’ behaviors, preferences and movements. Yet, many CSPs still struggle to fully derive the greatest value big data. [Download]

9. Using Big Data to Put a Big Hurt on Communications Fraud

With the proliferation of smart devices and growing use of IP networks, the communications industry is experiencing a resurgence of communications fraud. The fact that attacks can come from any source at any moment, from anywhere on the planet, means that communications fraud is now a troublesome Big Data problem. [Download]

10. Real-time customer insight and foresight with analytics: Making the right call

This is a case study on how Deloitte helped a large wireless telecommunications company implement platforms to collect, store, and analyze data from across millions of customers and billions of transactions to achieve real-time marketing effectiveness. [Download]

11. MTS India relies on HP Vertica in a highly competitive telecom market

The telco industry in India is strictly regulated; between 2010 and 2013, the Indian Supreme Court mandated a series of nationwide auctions for frequency bands along the mobile phone spectrum. As a result, MTS experienced a reduced business footprint, from 15 to 9 circles (state-centered geographies). This mandate reduced its client base from 15 million to 10.5 million subscribers at the beginning of 2014. [Download]

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  • "Really enjoyed the seminar. Interesting to hear about insights into Eir's Analytics journey through Anthony. Keep up the good work"

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  • “The solution from Presidion gives our analysts the ability to perform deep dives and comprehensive statistical analyses to unlock the commercial value of our data,” - “Thanks to Presidion, we can now rapidly identify the causes of customer churn, and take action to mitigate them – increasing our competitiveness."

  • "Presidion’s high level of expertise with the tools and deep understanding of our industry helped us to embed commercially valuable predictive analytics capabilities into our business processes, and start realising the benefits very quickly."

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  • "Seeing the world through the customer's eyes is the heart of our business. Customer information and feedback is key to this process and is enabling us to take a proactive approach to one of our industry's most pressing problems."

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  • "Without Modeler, it would be difficult to detect relationships between originators and beneficiaries who send and receive transfers internally. Criminals use these networks precisely because they won’t be detected by traditional systems."

  • "The predictive modeling solution proved to be a good ally in helping us structure new ways to approach anti-money laundering responsibilities within the organization."

  • "With IBM SPSS Modeler, we have been able to transfer 80 percent of our money-laundering detection resources into bringing new business into the bank."

  • "Our people at the front-lines taking claims are now making decisions that adjusters in the field would have made in the past. To make it work, we needed to balance that extra empowerment with a greater degree of accountability—and employees who were comfortable with that new balance."

  • "With predictive analytics, we were basically able to close a hole in our pocket where money was leaking out steadily. We were also ready to show that this was just the beginning."

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  • "IBM SPSS predictive analytics software has given us the means to learn systematically from our experience. By learning from the history, we can know today who will buy a given product in the future."

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  • "Analytics gives us a method of assessing impact of factors that we may not be able to measure directly – so we can do more with the data we already have, instead of making big investments in hightech equipment."

  • "Our turbines have an alarm built-in by the manufacturer which is triggered 30 minutes before a major failure, but with our data we can predict such an event 30 hours before it happens."

  • "Presidion trainer was great; she was able to explain technical stuff in a language that we all understood. Now we know all we need to make the most of the software."

  • "Excellent course. Very comprehensive. Of huge benefit in knowing what statistics to use where and how to get the most out of questionnaires."

  • "Overall I thoroughly enjoyed the course & found it extremely useful. SPSS is not as scary as I originally thought. Extremely worthwhile course!"

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  • "Since I had some knowledge of statistics and IBM SPSS, this course suited my needs. Having completed this course and having the training manual, I feel more confident in using statistical tests within my own work."

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