USING ANALYTICAL CRM SYSTEM TO REDUCE CHURN IN THE TELECOM SECTOR: A MACHINE LEARNING APPROACH

  • Type: Project
  • Department: Computer Science
  • Project ID: CPU2009
  • Access Fee: ₦5,000 ($14)
  • Pages: 51 Pages
  • Format: Microsoft Word
  • Views: 395
  • Report This work

For more Info, call us on
+234 8130 686 500
or
+234 8093 423 853

ABSTRACT Customers are considered to be the most valuable assets of any business, and thus their loyalty is key to profitability as they indulge in repeat purchases and attract their colleagues through word-of-mouth. In competitive markets such as telecommunications, customers have a lot of flexibility due to the variety of service providers available and the introduction of mobile number portability (MNP) thus they can easily switch services and service providers. Customer churn is, therefore, a major problem among telecommunication companies hence their quest to reduce customer churn rate and retain an existing customer. Customer relationship management systems have been used over the years to track patterns within the customer data, but this could be improved notably with the technological advances hitting the universe on a daily basis. We have moved past the age of innovations around steam engines, electricity, computers, mobile, internet to the current technology trends in artificial intelligence and big data. We are at the cusp of a new wave where enterprises have embraced the application of machine learning in streamlining different business processes. Telecom companies have the advantage of mining large customer datasets that can be leveraged on for predictive analysis using data science. This project explores the use of analytical CRM system in reducing customer churn in the telecom industry using machine learning algorithms to predict customer behavior in order to retain them. Its goal is to analyze all relevant customer data and develop focused customer retention programs. This is on the focus that if you could somehow predict in advance which customers are at risk of leaving, you could develop focused customer retention programs to reduce customer churn.

USING ANALYTICAL CRM SYSTEM TO REDUCE CHURN IN THE TELECOM SECTOR: A MACHINE LEARNING APPROACH
For more Info, call us on
+234 8130 686 500
or
+234 8093 423 853

Share This
  • Type: Project
  • Department: Computer Science
  • Project ID: CPU2009
  • Access Fee: ₦5,000 ($14)
  • Pages: 51 Pages
  • Format: Microsoft Word
  • Views: 395
Payment Instruction
Bank payment for Nigerians, Make a payment of ₦ 5,000 to

Bank GTBANK
gtbank
Account Name Obiaks Business Venture
Account Number 0211074565

Bitcoin: Make a payment of 0.0005 to

Bitcoin(Btc)

btc wallet
Copy to clipboard Copy text

500
Leave a comment...

    Details

    Type Project
    Department Computer Science
    Project ID CPU2009
    Fee ₦5,000 ($14)
    No of Pages 51 Pages
    Format Microsoft Word

    Related Works

    ABSTRACT Customers are considered to be the most valuable assets of any business, and thus their loyalty is key to profitability as they indulge in repeat purchases and attract their colleagues through word-of-mouth. In competitive markets such as telecommunications, customers have a lot of flexibility due to the variety of service providers... Continue Reading
    ABSTRACT Taxation in Nigeria is one of the major source of revenue for it an be said that it generates between 75% to 80% of Nigerian revenue. Taxation in Nigeria is however bedeviled with a lot of problem one of which is double taxation. It is the practice in Nigeria for income tax to be imposed both on worldwide income derived by residents of... Continue Reading
    ABSTRACT Taxation in Nigeria is one of the major source of revenue for it an be said that it generates between 75% to 80% of Nigerian revenue. Taxation in Nigeria is however bedeviled with a lot of problem one of which is double taxation. It is the practice in Nigeria for income tax to be imposed both on worldwide income derived by residents of... Continue Reading
    Due to the massive increase in medical documents every day (including books, journals, blogs, articles, doctors' instructions and prescriptions, emails from patients, etc.), it is becoming very challenging to handle and to categorize them manually. One of the most challenging projects in information systems is extracting information from... Continue Reading
    Due to the massive increase in medical documents every day (including books, journals, blogs, articles, doctors\' instructions and prescriptions, emails from patients, etc.), it is becoming very challenging to handle and to categorize them manually. One of the most challenging projects in information systems is extracting information from... Continue Reading
    Agriculture forms the backbone of Kenya's economy contributing 30% of the country's GDP. However, little is known about the prices, supply and demand of fruits and vegetables. Market price information is a very important agricultural concern which can be enhanced by big data and machine learning techniques like predictive analytics. This... Continue Reading
    Abstract Medical diagnosis of diseases like Malaria and tuberculosis still use microscopy as a standard, but this procedure is usually very tiring for pathologists and health workers as it imposes much stress on their vision. Due to the fatigue that health workers get from this process, they might end up misdiagnosing a case. In most Rural areas... Continue Reading
    ABSTRACT The purpose of this study is to investigate the influence of observational learning approach in developing entrepreneurial key competencies among business education student in public and private universities in Edo south senatorial district. The objectives of this study were to determine the influence of observational learning approach in... Continue Reading
    ABSTRACT The purpose of this study is to investigate the influence of observational learning approach in developing entrepreneurial key competencies among business education student in public and private universities in Edo south senatorial district. The objectives of this study were to determine the influence of observational learning approach in... Continue Reading
    ABSTRACT This study investigated the relationship between the impacts of reward system on employee performance at work. The objectives of the study were to establish the different systems of reward in Smart Telecom, to find factors responsible for employee performance at work and to assess the effects resulting from the systems used by the company... Continue Reading
    Call Us
    whatsappWhatsApp Us