The document discusses the use of business analytics in the telecom industry. It describes how analytics help telecom companies improve customer experience, reduce unnecessary service calls, analyze new product offerings, and reduce customer churn. Specific applications of analytics mentioned include social media analysis, network optimization, predictive modeling, and fraud detection. Major analytics tools used by telecom companies are also listed, including Adobe Systems, SAP, HCL, IBM, and Oracle.

1. Uses of Business Analytics in the
Telecom Industry
AHANNA HERBERT
2037024
2 MAECO

2. Telecom Industry
Telecom industry has one of the largest customer base. At the same time, this
industry also face a cut throat competition due to changes or shifts in the trend.
Hence the telecom industry is challenging and a highly demanding industry.
The telecom analytics uses BI technologies and analytic tools that satisfy the
requirements of the telecom service providers. This also plays a major role in
improving the sales, reducing churns and decreasing operational costs. The big
data analytics used in the telecom industry helps to evaluate the performance
metrics, expansion strategies and also to measure the program effectiveness.

3. Uses of Telecom Analytics
● Improves customer experience: An analysis of telecom data can help
to understand about the factors that impact the customer experience.
The analytics helps companies to collate and to analyze the data.
● Reduce truck rolls through proactive customer care: The analytic
solutions can generate reports based on the scenarios and data
clustering algorithms. It avoids unnecessary customer calls.

4. Uses of Telecom Analytics
● Analyze the potential of new offerings: Telecom analytics use
predictive modelling to develop innovative offerings and also to
generate new revenue streams based on customer preferences.
● Reduce customer churn rate: These analytics helps to identify the
factors that impact the churn. Using the analytics it can help to
improve customer satisfaction.

5. Applications of Business Analytics in Telecom
Industry
Social Analytics: The social media plays an important role in customer
retention. It helps to gain the customers. The data generated through social
media can be interpreted using the social analytics.
Network optimization: It is necessary for telecom operators to ensure that all
the customers are able to use their products at all time. The firms need to be
frugal when allocating the resources to network. The analytical tools leverage
the data collected through day-day transactions. And also helps in both short
term and long term decision making.

6. Applications
Predictive Analytics: The telecom industry uses predictive analytics. It can
predict the approximate success of a new idea, based on the past preferences
of the customers. The predictive analytics helps in targeting the customers at
the right time based on their past behavior and choices. It also helps in
boosting revenue by proper planning and reduces operational costs.
Fraud Detection: Fraud detection is important, this is because the customers
put their information online and business transactions as well. Hence the big
data analytics helps to combat the fraud in the telecom sector.

7. Tools used in the Telecom Industry
There are numerous players in the industry, therefore customer retention is
important. The telecom industry uses analytic tools to retain the customer.
This also helps is identifying the trends in the customer behavior. Some of
the major big data analytics used in the telecom industry are as follows
● Adobe Systems
● HCL
● IBM
● SAP
● Oracle

8. Adobe systems
Adobe is one of the prominent players that focuses on developing
multimedia and developing software products and services. This company
provides an integrated set of solutions. The telecommunications blends
email with the Adobe systems technology to recover lost online sales
opportunities. This company also provides integrated solutions like Adobe
Experience Manager, Adobe Campaign, Adobe Target, Adobe Social, and
Adobe Primetime.

9. SAP
SAP is a German multinational software. The SAP HANA innovation
provides a consolidated repository and analytics engine for fast analysis of
real time telecommunications data. The telecommunication industry has
undergone changes over recent years. Due to rising investment costs,
market deregulation the communication service providers (CSPs) are
looking for new ways to increase their profits. The SAP provides customer
insights and segmentation, customer churn and retentions, cloud services
etc.

10. HCL
The rapid increase in the use of smartphones and other connected mobile
data has triggered an increase in the volume of data flowing through the
networks of telecom operators. HCL is one of the major competitors in big
analytics in the telecom industry. The big data analytics used in the
telecom industry helps the customers to take decisions in the operational
areas like pricing, product bundling campaigns, customer experience,
churn and customer management.

11. IBM
IBM is one of the top analytics solution providers. IBM is a globally
integrated company. Innovation is the core strategy of IBM. it has its
operations in more than 170 countries. Almost all major telecoms in the
use IBM big data analytics. IBM’s integrated solutions helps to secure data
and also to reduce customer churn. Hence it can also enhance market
shares.

12. THANK YOU!!