Solving Challenges in TCS Using Data Analysis

Running head: SOLVING CHALLENGES IN TCS USING DATA ANALYSIS
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SOLVING CHALLENGES IN TCS USING DATA ANALYSIS
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Introduction
Different Companies face different problems from managerial, accounting, decision making, etc.
Business data analysis can be used as a solution to succumb to this problem. Data analysis has been
adopted by many businesses to help their business grow and also to survive in the competitive market.
In this paper, we are going to draw some solutions from the problems faced by the business.
Data collection
The data that is used for the analysis is obtained from the business’ database. Data on the current sales,
profits, number of employees, customer feedback, churn rate, etc. are very crucial during the data
analysis.
Solutions
i)
Low accuracy and False positives
Low accuracy and False positive are solved using machine learning. A technique known as a confusion
matrix (used with binary data, i.e., positive and negative) is deployed to solve this issue. Various
measures such as precision, sensitivity, error rate, accuracy, etc. are derived from it. The next step
undertaken after constructing the confusion matrix is to determine the accuracy of the classification.
Accuracy is obtained by calculating the number of all accurate prediction divided by the total number of
the data set (Saito and Rehmsmeier, 2015). This will method will prevent low accuracy and false
positives.ii) Deficient consulting operations
Here, powerful problem-solving techniques are used. During the analysis, we will focus on the time,
energy on the key drivers and the big wins. One of the solution to be used is considering cutting the cost
of two or three key drivers of the Company and look at their impact on the company. One can also use
the 80-20 rule which is also known as the secret of achieving more with less. The distribution of this
technique as the first solution. This is how it works: 80 % of the profit are obtained from 20 % of the
clients, and 80 % of the Company’s cost comes from 20 % of its operation (Dunford, Su & Tamang,
2014). Another way is to collect, and analyzing the hard data from the Company.
iii)
Communication during Recession
During an economic downturn in business, it's very important to communicate with the staffs. Recession
reduces the performances of the employees. To avoid this, the boss needs to create a right channel of
delivering messages it the staffs. These channels include newsletters, desktop alerts, screensavers and
desktop tickers (Moreno et al. 2010).
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Artificial Intelligence
Even though many businesses embrace technology, it has somehow created problems in business. AI
requires more compute power since it carries out a lot of calculations and does a lot of processing. To