Data Analysis and Big Data Value Report for Chomp Company

This report provides a comprehensive analysis of big data and its value within the context of Chomp, an online media company. It explores various data analytics practices including descriptive, diagnostic, predictive, and prescriptive analysis, highlighting the technologies and tools used for data collection and visualization. Key Performance Indicators (KPIs) such as customer satisfaction, internal process quality, employee satisfaction, and financial performance index are discussed as metrics for evaluating business performance. The report also addresses crucial aspects of data governance, privacy, and ethics, emphasizing the challenges and recommendations for data protection. The analysis provides a structured approach to implementing a data-driven business model, considering both the benefits and drawbacks, and offering actionable recommendations for Chomp to effectively leverage big data for diversification, strategic collaborations, and business growth.

BIG DATA AND VALUE
REPORT

Executive Summary
Data analysis is a process that involve assessing the information and data in the best way
possible. This involves evaluating the information and data with support of various techniques
like data visualisation, chart or graphical representation and such like features.

Table of Contents
INTRODUCTION...........................................................................................................................4
Data analytics..............................................................................................................................4
KPIs.............................................................................................................................................6
Technology and tools..................................................................................................................7
Data visualisation and reporting..................................................................................................8
Data governance, privacy and ethics...........................................................................................8
CONCLUSION................................................................................................................................9
REFERENCES................................................................................................................................9

INTRODUCTION
Data analysis is a practice that is about to assess the data and information. This report
will discuss the different data analysis practice sin respect to the Chomp Company. Henceforth,
report will emphasis over the data analytics practice. KPI will also discuss as a part of this
project. Data visualization will also present in this project.
Data analytics
Data analytics is a process operate to assess the whole situation and analysis the data set
or information available. The process of data analysis is about to assess the whole information
available and to make the best suitable judgement. The process of data analytics is coordinated
with support of certain techniques like descriptive, diagnostic, predictive and prescriptive types
of analysis (Chauhan and et.al., 2021). All these techniques contain different features and
characteristics that can allow the researcher to form the most suitable assumptions about the data
and information.
Descriptive analysis
Descriptive analysis is the simple and the most followed tool and technique associated
with analysing the data and information. This involves using the dashboard to acquire compete
information. The role of descriptive analysis is such that it favour in interpreting all the past
information with support of graphs and academic records presented in dashboard (Dey And
et.al., 2020). In process to coordinate with this tool to analysis and assess the information tools
like KPI Dashboard, Monthly revenue report or sales lead overview report are assessed. The role
of the descriptive analysis is such that this technique is one of the most prominent technique
associated with interpreting and analysing the whole information and data set.
Diagnostic analysis
Data analyst at the Chomp Company utilises the technique of diagnostic analysis in order
to evaluate the complete information about data and different business records. Descriptive
analysis support the analyst to understand what happened in the past in context to company’s
performance in respective target market. The entire process of the diagnostic analysis is to take

out the crux from the descriptive analysis of what happened and to understand why it was
happened (Jiang, Ritchie and Benckendorff, 2019). The role of the diagnostic analysis in
understanding the cause of the previous records and performance entertain by the organisation.
This technique of data analysis support the Chomp Company to formulate future possible
strategies and approaches that can support the company in ensuring the best form of growth and
development possibilities for the business unit.
Predictive analysis
Data annalist at the Chomp Company usage the technique of predictive analysis to
evaluate the future possible impacts. This is about to determine what can be happened in future
actual and the possible situation may arise in the future. Role of predictive analysis is very
significant in understanding actual market situation and what can be happened in the future. The
process is such that it involve arranging the data and information and make necessary prediction
about the future (Ragini Anand and Bhaskar, 2018). The role of predictive analysis in predicting
the situation and on the basis of the future possible prediction made this involve forming the best
suitable strategies. This technique further consume techniques like risk assessment, sales
forecasting, utilisation of customer segmentation and predictive analysis in customer success
teams. All these are the various techniques and approaches that support the organisation to make
important and strong decisions based on the future needs and requirements of company.
Prescriptive analysis
Prescriptive analysis is a practice that involve assessing the current problem or situation
and to make the most suitable decisions based on the current problem or decision. This is
demonstrated as the main outcome generated against the whole process entertain by the
organisation. Artificial intelligence technique is adopted by the Chomp Company to make all
important decisions as a part of the prescriptive analysis.
The above stated practices and techniques associated with the data analysis practice
adopted by the company.
KPIs
KPI are denoted as the key performance indicators used to denote the overall
performance of the business entity. The role of the KPI is to demonstrate and indicate the
potential performance and situation of the business entity in the respective target market.

Management at the Chomp Company like to prefer the following key performance indicators that
strategically demonstrate about the performance of the organisation.
Customer satisfaction
Customer satisfaction is among the most prominent key performance indicator Chomp
Company use in order to assess the overall performance of the business entity. The objective of
the business is to ensure the best form of customer satisfaction level against adoption of business
practices. Role of customer satisfaction is significant in ensuring the best form of company
growth and also to assess the actual performance of the organisation.
Internal process quality
Internal process quality is another key performance indicator that Chomp Company usage
to evaluate the overall performance of the business unit (Rohar and et.al., 2017). The role of this
performance indicator is such that it involve assessing and evaluating the overall performance of
the business unit. This is fundamentally significant for the organisation to assess its internal
process.
Employee satisfaction
Company also measure employee satisfaction level as a part of the key performance
indicated by organisation. This involve measuring the employee retention rate in the
organisation. Previous years records are also measured under this to understand the overall
performance of the employee in company.
Financial performance index
Financial performance index are the primary performance indicators that company use.
This involve assessing the financial statements and records of the organisation in order to make
the evaluation about the performance of the business unit. The role of the key performance
indicator is such that it is about to measure profitability, growth percentage by comparing with
other key competitors associated with the organisation (Torre, Lachmann and Ma’ayan, 2018).
Ratios are also used by the financial professionals at the Chomp Company such as financial
ratios, profitability ratio, liquidity ratio and such like ratios to assess the overall performance of
the business unit.
The above stated factors are denoted about the all different key performance indicators
adopted by the company.

Technology and tools
Technology and tools denoted as the different platforms and processes adopted to
formulate the different practices at the organisation. Information collection is an important
feature that support the organisation to generate the best level of information. All these
technologies support the company to achieve all different business objectives.
Mobile data is used to generate the information. This further consume questionnaire
technique to collect the information and data. In this technology with support of mobile devices
data is collected. The potential sources are approached under this to collect the information in the
best way possible. Internet surveys are also used to collect reasonable information. This involves
approaching the sources over internet to collect the information in the best way possible. GPS is
another tool that support the scholar to collect the best form of data and information. This is
essential and required to generate the most effective form of information so that best level of data
collection can be coordinated. Data analysis is processed with support of regression analysis.
This technique is among the most prominent technique to analysis the information and data.
SPSS tool is used in this to assess and evaluate the information and data of the organisation.
Regression analysis evaluate to form a proper relationship between the variables and support the
overall outcome of study in the best way possible.
Data visualisation on the other hand is coordinated by the data annalist at the Chomp
Company is with the use of certain tools and techniques. The practices like area chart, bar chart,
box and whisker plots, bubble cloud, bullet graph, cartogram, circle view and dot distribution
map. All these are the different tools and techniques that support the company to analysis the
whole data and information (Uritskiy, DiRuggiero and Taylor, 2018). This is significant for the
data annalist to visualise the whole information and data set so that best form of evaluation could
been developed. Visualisation of data is an important practice follow by the company to present
the entire data in the most systematic manner and also to understand the data and information in
the most systematic manner.
The data will be stored in the company's system. The researcher will collect the
information and data and to store the same in the system of company. The data is stored in the
system would support the organisation in analysing the information and data in the best way
possible. The access of the data will be channelises with the protection of security code. This is
an important feature that is accessed with the data protection service and practice adopted.

Data visualisation and reporting
Data visualisation is denoted as the graphical representation of the data and information
collected by the organisation. The entire process comprises with the charts and graphs that
support the best form of interpretation and assessment of the information and data. The data
visualisation at the Chomp Company is coordinated with support of the techniques like box
plots, histogram, heat maps, charts, tree maps and word cloud. All thee are the different tools and
techniques associated with data visualisation that support the company to graphically represent
all information in the best way possible. All these tools allow the company to get access with
multiple features like data analysis, graphical representation and such like techniques to support
the best level of graphical representation of information.
Data governance, privacy and ethics
Data protection is also being a major challenge company face when it comes to collecting
the data and also to analysis the information further. The different challenges like unethical use
of the information. This is conducted to taken on the advantage with support of the data and
information. Hacking is another challenge that is faced when it comes to analysis the whole
information. The another challenge is such that data analysis practice is a time-consuming
process. Many times due to the limited time spam available analysis do not get proper time to
collect the information in the best way possible.
Recommendations:
 Data can be protected with the proper security lock and such like techniques.
 Data should be segregated in different folders so that analysis only require to bring out
the required details.
 Copy of data set must also be available with the company's system so that in case of
misplacement of data information can still get available.
CONCLUSION
Data analysis is a professional practice entertained by the organisation to present the
information in the best way possible. The role of the data analysis is supported in such manner
that it can be transformed based on the needs and requirements of the business entity. Data is
also essential to visualise with support of certain techniques like histogram, pie chart ad such like
features.

REFERENCES
Books and Journals
Chauhan, R. and et.al., 2021, March. Understanding Covid-19 using data visualization. In 2021
International Conference on Advance Computing and Innovative Technologies in
Engineering (ICACITE) (pp. 555-559). IEEE.
Dey, S. K. And et.al., 2020. Analyzing the epidemiological outbreak of COVID‐19: A visual
exploratory data analysis approach. Journal of medical virology. 92(6). pp.632-638.
Jiang, Y., Ritchie, B. W. and Benckendorff, P., 2019. Bibliometric visualisation: An application
in tourism crisis and disaster management research. Current Issues in Tourism. 22(16).
pp.1925-1957.
Ragini, J. R., Anand, P. R. and Bhaskar, V., 2018. Big data analytics for disaster response and
recovery through sentiment analysis. International Journal of Information
Management. 42. pp.13-24.
Rohart, F. and et.al., 2017. mixOmics: An R package for ‘omics feature selection and multiple
data integration. PLoS computational biology. 13(11). p.e1005752.
Torre, D., Lachmann, A. and Ma’ayan, A., 2018. BioJupies: automated generation of interactive
notebooks for RNA-Seq data analysis in the cloud. Cell systems. 7(5). pp.556-561.
Uritskiy, G. V., DiRuggiero, J. and Taylor, J., 2018. MetaWRAP—a flexible pipeline for
genome-resolved metagenomic data analysis. Microbiome. 6(1). pp.1-13.