Impact Of Information Management And Security On Organizational Framework: A Case Study Of Walmart

Theoretical Headings Under the Topic

Information security is a process of safeguarding organisational data from unauthorised access. Businesses use several tools and methods to secure their confidential data from unauthorized attacks. Information data management is a way of managing stakeholders’ data in a congruent manner so that market competitors, hackers and other sources cannot get into the access of those data. Information security is associated with the prevention of unauthorised access, disclosure, disruption, inspection, and modification and information destruction. Data management is performed to protect organisational activities and confidential data from theft, breaches, data losses and encryption activities. Strong data security allows businesses to back up their data adequately.

The study is going to analyse the impact of data management and information security in safeguarding an organisational framework. An example of Walmart will be added in this regard. The selected company uses big data analysis to increase their sales capacity and customer loyalty. The section is going to see the implementation of new IS and IDM strategies to strengthen their business infrastructure. The idea is to diversify the business activities by involving maximum security and privacy policies.

Information security deals with safeguarding organisational data and processes in a systematic way using relevant tool sets. Several theories can be supported to understand the use of information management and its necessity. Some of the theoretical headings under this topic are mentioned below,

Information management: “Information management” deals with the management of security breaches, disruption, inspection, alteration, and loss of sensitive data. Data management is used to protect confidential information and functions of the organization against theft, leaks, and data leakage (Qi, 2020). Businesses can back up their data properly while maintaining solid data security. This procedure entails gathering, collecting, organising, protecting, verifying, and processing critical business data. This is a new field that deals with the architecture that is used to gather, administer, retain, preserve, and deliver data. The guiding principles ensure that the appropriate information reaches the right people at the right time. All records and information activities for a business are planned, organised, structured, processed, controlled, and evaluated under this heading. All of these elements are necessary for corporations and their business types that rely on that knowledge to operate efficiently.

Information technology: Information technology brings business innovation. Innovative attributes result in smarter applications, improved data storages, faster processing and wider data distribution (Chen et al. 2019). Business innovation is required to add unique features within the process. Innovative attributes make a business efficient and effective in nature. Information technology helps the organisation to balance the innovative properties by increasing its value, quality and productivity. This aids in the development and expansion of the commerce and commercial sectors, resulting in the highest potential output. With advancements in IT, the time it takes for diverse industries to produce business is now reduced. It offers security systems, stability, and communication efficiency. This is important to include within a business to improve business agility, staff coordination, automation, revenue stream, financial savings, customer experience and much more.

Information security: “Information security” refers to the process of protecting company systems from unauthorized access (Yao and Li, 2018). Businesses employ a variety of tools and approaches to protect their sensitive information from unauthorised access. Unauthorized access, exposure, interference, surveillance, alteration, and destruction of information are all examples of information security. This is a collection of procedures for protecting personal information against unwanted access and alteration while it is being stored or transmitted from one location to another. It is used to safeguard data against unauthorised access, exposure, deletion, manipulation, and disturbance. This tool focuses on maintaining a balance between secrecy, integrity, and accessibility. Information security is needed to reduce the risk factor of data breaches by cutting off the attacks within the IT framework. Application of data security controls help to prevent unauthorised access to the sensitive information (Peeters and Widlak, 2018). Prevention of disrupted services helps in protecting IT systems and networks from outside exploitation.

Information Management

Information data management: “Information data management” is a method of managing stakeholders’ data in a consistent manner, preventing market competitors, hackers, and other outside sources from gaining access to it. Security breach, exposure, disruption, inspection, alteration, and loss of sensitive data are all examples of “information security”. Data management is done to secure confidential data and organisational activities against theft, leaks, data leakage, and protection. Businesses can appropriately back up their data with strong data security. This process involves collection, storing, organisation, protection, verification and processing of essential business data (Dimitrov, 2019). Data management helps to make an organisational structure productive and useful. This makes the process easier for the employees to find and understand the data that they require to perform their job. This allows staff to easily validate results by concluding their business outcomes. Data management provides the data structure to be easily shared with others involving confidentiality. This is a way of allowing data to be stored for future reference, which can be easily retrieved. It has the potential to make the company more cost-effective. This is because it will assist the company to prevent unneeded redundancy (Vo et al. 2018). Employees will never undertake the same research, analysis, or task that has been accomplished by another individual because all data is stored and easily accessible.

Data quality management: This is a way of providing context-specific systems for improving data fitness, which is used to analyse data by the adoption of adequate decisions. The target is to create insights into the quality of that data using several technologies on greater and more complex data sets. This is a business idea principle that calls for a confluence of the correct people, procedures, and technologies, all with the purpose of increasing the most important data quality metrics for an organisation (Gomes et al. 2020). “Customer relationship management” is the most important attribute of any business and data quality maintenance comes as one of the topmost priorities of this business section.

Data governance: This is a collection of processes, policies and strategies that ensure efficient utilisation of data by enabling organisations to achieve their goals. This defines individuals, who can take actions, in what situation or using what methods depending on what data. Data governance is a way of helping organisation to ensure that the information is usable, protected and accessible. This plays a major role in regulating compliance that the institution is compliant with all standards of regulatory requirements. This is a key to minimising risk and cutting off business costs. This procedure applies to the people, processes, and information needed to guarantee that data is appropriate for the intended use.

Data architecture: “Data architecture” is a framework for how business data strategy is supported by your IT infrastructure (Shamim et al. 2019). The purpose of any “data architecture” is to explain how data is gathered, transferred, stored, queried, and secured inside a sustainable framework. Any marketing plan must start with data architecture. This is a collection of principles made up of precise methods, rules, concepts, and regulations that govern what kind of content is obtained, where it is gathered, how the data is obtained, how it is stored, how it is used, and how it is entered into platforms.

Information Technology

The company’s “Management Information System,” which oversees organisational activities and data confidentiality, is one of its strongest assets (Li et al. 2019). This aids managers in spotting business flaws and possibilities. This can easily handle information security, database management, and other applications. The company procures materials directly from the manufacturers, which helps to reduce business cost. The firm to manage their information uses the EDI model. This model enables managers to download store details and order details. The IT team and communication system effectively track each sales and merchandise inventories of the company.

Research methods are helpful to identify the research requirements. The goal is to collect data that can add authentic information regarding the chosen topic. Selection of methodological tools helps the researchers to include relevant data that can guide readers having a complete idea of the chosen topic. Detailed methodological discussion has been added to the below section.

The methodological tool can be used to perform a detailed analysis of the data they have chosen. This part will include a metatheoretical analysis, which is the most fundamental component of the data collecting. This will be aided by the selection of an appropriate research philosophy (Žukauskas et al. 2018). The goal is to find objective solutions by seeking to detect and work around biases in theories and knowledge developed by theorists. In this case, “post-positivism” will be used to meet the study’s goals.

This research philosophy is implemented to ensure that readers have a thorough understanding of the research findings. The tool of choice will generate a flexible research framework to justify each data finding from various sources. The choice will be made after reviewing the study criteria. This philosophy will aid researchers in establishing that a researcher’s opinions, and even their personal identity, affect what they see and, as a result, what they discover.

The research strategy refers to the goals that are covered in a study. This tool will assist in the inclusion of crucial data and a detailed discussion of the issue (Bartelink et al. 2018). The goal is to compile relevant data based on a fictitious knowledge of the data. Researchers will be able to create their findings in a methodical manner if they use the right research approach. This section will use a “deductive” strategy to finish the research.

This method will aid efficient analysis of data from various sources. This section will present a thorough data analysis based on field data. Researchers will be able to use this tool to incorporate a wide range of data into their research. This part may feature an in-depth hypothetical justification of the acquired data sets inside his study, depending on the study’s methodology, which would not have been achievable using an “inductive” approach.

The purpose of research design is to embellish collected data so that readers can get a clear picture of the chosen issue. This methodological tool aids the project in locating the most appropriate data sources and systematically incorporating them into the area (Sovacool et al. 2018). Based on data observations, this methodological equipment tackles the indicated problem by developing the most efficient structure possible. This decision is critical since no research may have a specific structure unless the design is finalised.

Information Security

This tool is used to create a good research framework that includes all of the relevant data. The research will be aided by “descriptive” design. Following this research design will make it much easier to get a strong conclusion. This choice was taken in order to offer as much descriptive analysis as possible. The researchers will focus their efforts on identifying the situation’s flaws in order to determine the industry’s exact state at this moment. The researchers will be guided by the selection to give a comprehensive grasp of the topic.

The research has followed “qualitative” data analysis to gather data regarding the importance of data management in the chosen firm. In this regard, the research has picked some participants from the company to note their opinion in this matter (Lowe et al. 2018). Two junior managers are picked for the interview. Permission has been taken from the company before picking participants for this data collection process. Quantitative survey has not been performed due to the requirement of larger sample size. The researchers have a limited time to perform the task, which is why they have gone with the interview. Four open-ended questions will be asked to each of two managers. Their responses will be analysed and compared to reach a solid conclusion.

This research is going to involve four open-ended questions, which makes the sample size four. Two junior managers are selected for this study, making the research population two. Each four questions are asked to these individuals to note their opinions regarding the matter, which has made the research easier to understand and interpret.

Table 1: Analysis of Interview responses

As per the understanding, both of the managers believe that the company is doing well with their existing framework of information system and information data management. One of them says that a little advancement may have offered better results. However, he agrees on the efficiency of the current system. Walmart has a “management information system”, which helps their managers to identify their service loopholes and market opportunities by providing appropriate data from the regular information system according to the analysis (Schöpfel et al. 2018).

The research is going to help in understanding the importance of IS, IT and IDM hugely. I have to know about the MIS framework and its contribution to Walmart. Qualitative data analysis has helped me to gain a deeper understanding of the topic.

Conclusion

The report has provided details of information data management and information security taking an example of Walmart. The target of the study is to offer details of these applications by which the company gets to safeguard their confidential data and essential business strategies. The selected participants have shared their opinions regarding the matter, which shows their satisfaction working in the firm. It can be concluded that the company runs a successful business by efficient utilisation of the MIS and EID model.

References 

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