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DATA ANALYTICS USING
SAP ANALYTICS CLOUD
(TELECOMMUNICATION INDUSTRY)
TABLE OF CONTENTS:
PURPOSE
1. CLOUD BASED
1.1 EXECUTIVE SUMMARY
1.2 PLANNING & DATA ANALYSIS
1.3 ANALYSIS RESULTS/DISCUSSION/FINDINGS
1.4 RECOMMENDATIONS
2. CRITICAL ANALYSIS
2.1 ADVANTAGES & DIS-ADVANTAGES OF SAP IN TELLECOM SECTOR
2.2 RECOMMENDATION
PURPOSE:
Mobilink, one of the service provider within Telecom industry in Pakistan since 2010, faced a drastic drop in their customer base. The purpose of the activity is to understand & analyse the data of Mobilink to uncover the hidden challenges which resulted into declining customer base of the Company.
SAP Analytics Cloud will be used for detail analysis
1 CLOUD BASED:
1.1 EXECUTIVE SUMMARY:
SAP Analytics Cloud, a flagship product into Analytics portfolio which covers multiple aspects as Business Intelligence (BI), planning, predictive modelling, application building etc. The product was released in 2015. Apart from business planning, the other key components are Business Intelligence (for reporting, dashboard analysis using Graphs & Maps, data-discovery and visualization), predictive analytics and governance, risk, and compliance.
SAP Analytics is being widely used in all domain area like Manufacturing, Banking, Telecommunication, Retail, IT, Infrastructure etc. Powerful Dashboards & Visualizations are being used by top management & board members of organization to analyse company performance & trends and thus helping in making decisions to forecast. Also using slice and dice, drag and drop of various drill down level and data granularity makes SAP analytics very easy to overview and display at various level like Country, State, City, Street and makes the data integrity to be used in decision making.
SAP Analytics Cloud allows data analysts and business decision makers to visualize, plan and make predictions all from one secure, cloud-based environment. SAP claims this differs from other BI platforms, which often require data to be integrated from various sources and users to jump between different applications when performing tasks, such as creating reports.
The abilities include Data Wrangling, modelling, discovery, planning, predictive modelling etc All these capabilities are combined under one roof and named as SAP Analytics Cloud.
SAP Analytics Cloud also supports on mobile to pass on the ease of usage to end customers. The content in form of ready & interactive Dashboards for all the run time transactional data allows the consumer to take fast & effective decisions
Data can be visualized and analysed in multiple local and foreign cu
encies as most of organizations are now a days multinational organizations and due to frequent conversion rate of cu
ency (ex- USD to PKR). So cu
ency conversion can be live as per cu
ent exchange rate as well at point rate.
It gives leverage to the management to manipulate the data into measures & dimensions to get the desired result onto dashboards

SAMPLE DASHBOARD:
1.2 PLANNING & DATA ANALYSIS:
SAP Analytics cloud provides the functionalities of Planning Capabilities and provides the environment where the consumer can analyse the information based on BI capabilities, forecast trends using predictive capabilities All in Single Tool.
It gives the user to go beyond simple Dashboards provided by conventional BI Tools. The Dashboards are interactive for better & effective decision making.
Users can get fast answers from information that is physically stored in Cloud and in remote locations via data virtualization so that we can leave data where it is created and still get value from it 'connect don't collect data' - saving time and money. We can also set up real-time replication to act immediately on operational data without slowing down our digital core. Bottom line, we can choose the best way to connect of all the data that need, whether it reside in SAP or any other Database, in the cloud or on-premises, and still get fast performance.
ANALYSIS:
Customers are the central point of any business, as they are the source by which any business realize its revenue which are in turn crucial for the business operation and existence of the business.
Therefore, there is no doubt that a large customer base helps a firm to be have competitive edge over the others. A large customer base also helps in diversifying any unforeseen risk, as the customers are spread over a large area and any distu
ance in one specific area does not impact and hamper the business operations in a great way.
Here we are going to analyse the decline in the customer base, faced cu
ently by the mobile cellular phone company-Mobilink and will try to find out the root cause of that decline, so that it can be amended and help the company to overcome the cu
ent crisis it is stucked into.
There is a revolutionize change in...