ERM
Electronic Records Management (ERM): The system of ERM can be defined as the set of few computer programs, which could be eventually designed to perfectly track and store various records (Laudon & Laudon, 2016). The software of ERM can be easily used to create as well as maintain the confidential records. Electronic records management is being used by various organizations within their businesses.
Business Intelligence (BI) and Business Analytics (BA): The specific business intelligence consists of several important strategies and technologies and are solely used by each and every company to perfectly analyze the business related information and data (Bajdor & Grabara, 2014).
The business analytics solely refer to the few kinds of technologies, skills and practices to constantly and iteratively investigate as well as explore the previous business performances and hence gaining proper insight or driving the respective business plan.
Data and Text Mining: The process of data mining can be defined as the significant practice to test the huge and bulky pre existing database and also to generate relevant information or data (Dahlstrom, Walker & Dziuban, 2013).
The process of text mining helps to obtain better quality of data from the given text and this data or information can be derived by numerous means such as the significant statistical patterns learning.Big Data Analytics as well as Data Recovery: The specific procedure to test bulky and the varied set of big datum or data to subsequently un cover the respective hidden pattern, unknown correlations, customer preferences and even any other relevant information is majorly termed as the big data analytics (Eason, 2014).
The data recovery can be defined as method to repossess each and every kind of formatted, spoiled, inaccessible, formatted and lost datum from the respective secondary storages and removable medium. The recovery of data is majorly completed whenever the data is not being repossessed generally.
- v) Enterprise Architecture (EA): The enterprise architecture can be defined as the well defined practice to properly conduct the enterprise designing, analyses, planning and even implementation to successfully develop as well as execute any specific strategy (Bilbao-Osorio, Dutta & Lanvin, 2013). The EA is mostly utilized by the bigger organizations.
- vi) Management Information Systems (MIS): The management information system could be eventually defined as the type of information system that can easily process the information by taking the significant help of digital devices, computers and systems to manage as well as support the several management decisions.
Data Life Cycle as well as Data Principles: The data life cycles could be eventually defined as the typical policy based approaches to manage the complete data flow within any specific information system (Marchewka, 2014).
The data principles are the eight specific principles, which could be used to govern or protect the personal information. This data must be adequate and relevant and the data principles are helpful for the users for protecting their data perfectly.
Cloud Computing: The specific practice for the significant utilization of the several networks and few servers to perfectly host on the Internet connection to store or even manage the confidential data (Arora, Parashar & Transforming, 2013). The processing of data is also possible with the help of this cloud computing.
Business Intelligence (BI) and Business Analytics (BA)
Data mining as well as text mining is responsible for the proper creation of value within any specific business (Holtshouse, 2013). The various methods for data mining and text mining that help to create the business values are listed below:
- i) Customer Engagement: The most important and significant method of data mining and text mining is the engagement of customers. The complete system of the CRM or customer relationship management could be easily handled by this process and this is done by the simple application of several techniques like the natural language processing (Eason, 2014).
- ii) Good Business Decisions: The data mining and text mining are responsible for helping the company by simply providing the correct insights within the broader range of documents or sources.
Risk, Compliance and Threat Detection: Within each and every sector, the proper analysis of the inadequate risk eventually creates significant problems (Laudon & Laudon, 2016). This is mainly because of the finance companies, where the process of text mining can be used to detect the various problems of potential compliances and even providing the early warning for fraudulent or criminal actions.
All of these above mentioned factors eventually demonstrate that the processes of data mining as well as text mining are responsible for the creation of major business values.
The technology of cloud computing is one of the most secured as well as significant method to transfer the confidential information or data through the Internet connection (Dinh et al., 2013). However, some of the major problems are present within cloud computing and these are listed below:
- i) Lack of Security.
- ii) Lack of Cost Effectiveness.
- iv) Insider threats (Hashem et al., 2015).
- v) Difficult data migration and many others.
Amongst the above mentioned five popular and specific problems of the cloud computing technology, two significant examples of these problems are the breaching of data and the insider threats.Breaching of Data:
The first and the foremost example of cloud computing problem is the beaching of data. There is an extremely higher chance of this breaching of data and hence the confidentiality as well as integrity of data is not lost under any circumstances (Fernando, Loke & Rahayu, 2013). When the data is breached, it becomes extremely problematic for the users for recovering the data and hence the attackers have the accessibility of the confidential data.
This particular problem within cloud computing technology can be easily resolved by the security of the significant physical space and this is done by the proper implementation of numerous safety measures and precautions.
Insider Threat: Another important problem within the technology of cloud computing is insider threat (Rittinghouse & Ransome, 2016). This particular kind of security issue majorly occurs whenever the staffs or employees of any specific organization become significant threats for the business either deliberately or unknowingly.
This particular problem within cloud computing technology can be easily resolved by perfectly training the staffs and employees of that organization and hence making these employees understand the impact as well as importance of cloud computing security.
Reason for Designing and Implementing EIS: The specific EIS was being designed and even implemented to give all the superior managers with numerous internal datum and external datum. Moreover, the KPIs or the key performance indicators key performance indicators were also identified in this process. All the key performance indicators are extremely important and relevant for the various requirements.
Data and Text Mining
Problems with EIS: There were some of the important and significant problems with this EIS. The first and the foremost problem with this system was that almost half of total datum was only available and accessible via this particular system. The next problem with this system was that these data were not at all available or accessible irrespective of the time or place. Furthermore, each and every planned business unit reported that the total sales revenues within different time frame.
Causes for EIS problem: The first and the foremost cause for the failure of this EIS was that the entire architecture of the information technology was eventually not designed properly for the customized reports and hence was only for the financial reporting drivers. Therefore, it became one of the major issues for all the staffs of the organization. The next important reason for the failure of EIS was that the user interface was quite complicated within the system. Hence, the KPIs could not be reviewed by the executives.
- CIO Improved EIS: CIO of this company worked with the staffs to design and implement the new EIS. Several policies or procedures of the data governance were then implemented to standardize the few formats of data.
- Advantages of new IT Architecture: This new architecture was completely business driven and hence the report modification was easier. The time consumption was eradicated by this and the costly ad hoc analysis was also eliminated.
- vi) Advantages of Data Governance: One of the major advantage of the data governance is that it helps in the management of data to validate the accuracy as per standards, rules and requirements.
Significance of Processing the POS Data: The Coca-Cola Company must develop POS data within real-time, since this kind of datum could be properly used to support the planning, supply chain forecast and replenishment process.
Attempting to Create Favourable Customer Experience: The organization attempts in creating suitable customer experiences by some strategies such as understanding target customer, taking customers’ feedbacks, creating customer experience visions, using quality frameworks and many others.
Importance of Trusted View of Data: An importance to have a specific trusted data view is present since it makes these data extremely manageable as well as cost effective. This is understood by Coca Cola.
- Black Book Model: The black book model was developed to reduce the total complexities of the decision model of orange juices. The decision model then quantifies a relationship between the variable to reduce this uncertainty.
- Strategic Advantage of the Black Book Model: This particular model combines data over six hundred and more flavours that involves by cost pressures, preferences of customers, expected crop yield, sweetness rate, making up of oranges, weather changes and regional consumers’ preferences.
References
Arora, R., Parashar, A., & Transforming, C. C. I. (2013). Secure user data in cloud computing using encryption algorithms. International journal of engineering research and applications, 3(4), 1922-1926.
Bajdor, P., & Grabara, I. (2014). The Role of Information System Flows in Fulfilling Customers’ Individual Orders. Journal of Studies in Social Sciences, 7(2).
Bilbao-Osorio, B., Dutta, S., & Lanvin, B. (2013, April). The global information technology report 2013. In World Economic Forum (pp. 1-383).
Dahlstrom, E., Walker, J. D., & Dziuban, C. (2013). ECAR study of undergraduate students and information technology(p. 2013). 2013.
Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013). A survey of mobile cloud computing: architecture, applications, and approaches. Wireless communications and mobile computing, 13(18), 1587-1611.
Eason, K. D. (2014). Information technology and organisational change. CRC Press.
Fernando, N., Loke, S. W., & Rahayu, W. (2013). Mobile cloud computing: A survey. Future generation computer systems, 29(1), 84-106.
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.
Holtshouse, D. K. (2013). Information technology for knowledge management. Springer Science & Business Media.
Laudon, K. C., & Laudon, J. P. (2016). Management information system. Pearson Education India.
Marchewka, J. T. (2014). Information technology project management. John Wiley & Sons.
Rittinghouse, J. W., & Ransome, J. F. (2016). Cloud computing: implementation, management, and security. CRC press.
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