Importance of Real-Time Data Analysis

The provided document is an assignment that emphasizes the significance of real-time data analysis in business, using Coca Cola as a case study. The importance of accessing current data for better decision-making and improving product quality is discussed. Additionally, the Black Book model, which serves as a guideline for Coca Cola's operations, is explored. This document provides valuable insights into the application of real-time data analysis in a business setting.

Running Head: DATA GOVERNANCE AND DATA MANAGEMENT
Data Governance and Data Management
Name of the Student
Name of the University
Author note

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Table of Contents
Question 1..................................................................................................................................3
Electronics Records Management..........................................................................................3
Business intelligence and analytics........................................................................................3
Data and Text Mining............................................................................................................3
Big data analytics and data discovery....................................................................................3
Enterprise architecture...........................................................................................................3
Management Information systems.........................................................................................4
Data lifecycle and data principles..........................................................................................4
Cloud Computing...................................................................................................................4
Question 2..................................................................................................................................4
Data mining creating business value......................................................................................4
Problems and precautions from cloud computing..................................................................5
Question 4..............................................................................................................................5
Reasons of EIS designing and implementation......................................................................5
Problems of EIS.....................................................................................................................6
Reasons of EIS problems.......................................................................................................6
Improvement of the EIS by the CIO......................................................................................6
Benefits of the new architecture.............................................................................................6
Benefits of data governance...................................................................................................7
Question 5..................................................................................................................................7
Importance of POS processing for Coca Cola in real time....................................................7

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Coca Cola attempting to create customer favourable experience..........................................7
Importance of trusted view of data.........................................................................................7
Black Book model..................................................................................................................7
Strategic benefit of Black book..............................................................................................8
Reference....................................................................................................................................8
Reference....................................................................................................................................9

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Question 1
Electronics Records Management
The procedural usage of automation applied techniques for the procedural
management of terminological records regardless of any specific format (Mukred & Yusof,
2017, April). Scope, terminology and internal framework acts on the basis of electronically
recording the issues.
Business intelligence and analytics
Business intelligence deals with the technologies, integration, collection and
presentation of the business information.
Business analytics is the procedural methodology that deals with the evaluation of the past
information regarding the business.
Data and Text Mining
Data and text mining has the main objective of accessing the data that is contained in
textual format. Association among the data are present (Larose, 2014). Prediction of data is
one of the most important functions of data and text mining.
Big data analytics and data discovery
Big data analytics is used for examining data sets which leads to revealing of the
correlation and regression of the data which will help in efficient decision making.
Enterprise architecture
Enterprise architecture is the working framework of the organization that enables
estimating the goal of the organization.

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Management Information systems
Management information system is used as the user-machine system that provides
data that helps in decision making.
Data lifecycle and data principles
Data lifecycle and data principles is the infrastructure that leads to the understanding
of the data throughout its entire lifecycle of the data initiating from the storage of the data
until deletion of the data.
Cloud Computing
Cloud computing is the networking system that involves the fetching, storing and
modulation of the data (Rittinghouse & Ransome, 2016). Cloud computing is the most used
data storage system that enables lack of using of the data storage external source as cloud
computing is the internal storage system which decreases the storage expenses of the
organization that has been using the cloud data for storage of the data.
Question 2
Data mining creating business value
Data and text mining has the main objective of accessing the data that is contained in
textual format. Association among the data are present. Prediction of data is one of the most
important functions of data and text mining. Data mining helps in gaining information of the
business organization. This gaining of data helps in estimating the gross demands of the
clients. Data mining helps in getting acquainted with the new technologies and helps in
completing the project faster. Data mining also helps in the betterment of the quality of the
product as data mining provides the company the evaluation report of the previous product
which helps the company to improve the product quality. Data mining helps by storing the
customer details and providing the same In case of urgency which enhances the business and

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saves time. Data mining allows the organization to understand the need of the mass and hence
improve the product innovation which leads to the increase in prospect of the business.
Tracking records help in understanding the consistency and loyalty of the customer hence
helps the organization to deal with the clients apparently and deciding the priority levels of
the consumers. Knowledge gained due to the fact of extensive research helps the organization
to meet the demands which enhances the brand loyalty of the consumers.
Question 3
Problems and precautions from cloud computing
The problems of using cloud computing are as follows: -
 Security Issues
Cloud computing platform being an online medium for storage of data, the data can
be accessed by unauthorized sources if the data is not encrypted in a proper way in order to
add robustness to the data base (Abdullahi & Ngadi, 2016).
Precaution: setting up of strong password helps to keep the database protected from
unauthorized access from the imposters.
 Data issues
Data losing is one of the major problems of in cloud computing. The transparency of the
platform used in cloud computing is very less which leads to problems in tracking the lost
data as the clients themselves are unaware of the initial location of the data in the first place.
Precaution: the only solution to this issue is standardization of the APIs (Ryan, 2015).

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Question 4
Reasons of EIS designing and implementation
Executive Information System is a decision making tool that finds its implementation
and benefits due to the fact that it helps the executive officers in order to make the
appropriate decisions for the organization. The EIS brings forward the data that are required
for the decision making to enhance the procedural execution of the process by the executive
officers.
Problems of EIS
 Globalization of the environment- No specific technique is used for enhancing distinct
business. The information are slotted universally without the concern of a particular
business scheme which proves to be inefficient at times (Aslan& van Giersbergen,
2016).
 Strategic collisions- Due to the fact of globalization of decision making the strategies
inherited by the business organizations are not competent enough as the environment
of both the business organization might not be the same.
Reasons of EIS problems
 Environmental factor- Lack of proper research for the particular environment of the
organization.
 Organizational factor- the employees of the organization were not collaborating in a
proper way.
Improvement of the EIS by the CIO
 Performance Indicator
 Access to real time data

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Benefits of the new architecture
 The CIO applied performance indicator in order to test the performance scale of the
employees and test their efficiency.
 Accessing stale data is an inefficient idea hence accessing real time data enables the
executives to judge the personnel individually on their current efficiency in
performance
Benefits of data governance
 Enhance better decision making
 Improve quality of data
 Greater data understanding
Question 5
Importance of POS processing for Coca Cola in real time
 Increases the analysis efficiency
 Tracking over the business in present, as Coca Cola is a brand name it needs to stay
updated regarding the proceedings of their business very efficiently (Oh, Sasser, &
Almahmoud, 2015).
Coca Cola attempting to create customer favourable experience
With increase in competition in their business, brands like Pepsico and Dr. Pepper
stepping into the fields of beverage drinks the veteran brand is facing some fierce competition
in the market. Hence providing good quality of the product is not the aim of the brand.
Providing satisfaction to the consumers are important as well in order to increase brand
loyalty.
Importance of trusted view of data
 Growth in good will of the company

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 Adverse growth in brand of the product
Black Book model
Black book model is a java oriented application that is maintained with high secrecy
by the Coca Cola. This Black book model is the reason behind the success of the Coca Cola
as it has the working methodology that Coca Cola brand must follow.
Strategic benefit of Black book
Black book has the data regarding the process of functioning in the Coca Cola brand.
This book acts as a guideline (Hui, et al 2014). The main strategic use of this book is that it
helps in maintaining the quality of the product and a constant rate of quality service is
possible throughout the world.

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Reference
Abdullahi, M., & Ngadi, M. A. (2016). Symbiotic Organism Search optimization based task
scheduling in cloud computing environment. Future Generation Computer Systems,
56, 640-650.
Aslan, A., & van Giersbergen, M. Y. (2016). Internationally, health-care systems have
attempted to assess the scale of and demonstrate improvement in patient harms.
Pressure ulcer (PU) monitoring systems have been introduced across NHS in-patient
facilities in England, including the Safety Thermometer (STh)(prevalence), Incident
Reporting Systems (IRS) and the Strategic Executive Information System (STEIS) for
serious incidents. This is the... Journal of Tissue Viability, 25(1), 66-73.
Hui, R., Choi, I. H., Hussein, I., Hockey, J., Hetrelizides, D., & Wong, R. H. K. (2014). The
effect of drinks and temperature on the staining of resin composites coated with
surface sealants. Journal of Dental Biomaterials, 1(1), 16-22.

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Larose, D. T. (2014). Discovering knowledge in data: an introduction to data mining. John
Wiley & Sons.
Mukred, M., & Yusof, Z. M. (2017, April). The DeLone–McLean Information System
Success Model for Electronic Records Management System Adoption in Higher
Professional Education Institutions of Yemen. In International Conference of Reliable
Information and Communication Technology (pp. 812-823). Springer, Cham.
Oh, C. H. O. N. G., Sasser, S. H. E. I. L. A., & Almahmoud, S. (2015). Social media
analytics framework: the case of Twitter and Super Bowl ads. Journal of Information
Technology Management, 26(1), 1-18.
Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation,
management, and security. CRC press.
Ryan, M. D. (2015). Cloud computing security: The scientific challenge, and a survey of
solutions. Journal of Systems and Software, 86(9), 2263-2268.

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