Implementation Of Information System In Cookies Limited

Data Collection and Storage

Discuss about the Implementation of Information System in Cookies Limited.

The living standards of the peoples have increased in the recent years and the personal computers are being used extensively in every phase of life. The peoples are using the online web interface for shopping and it is becoming an indispensible part of their lifestyle. The online presence of a business is becoming necessary and it reduces the operation cost of a business while increasing the efficiency and profit percentage of a business (Hashem et al., 2015). The online web interface can be implemented for maintaining transparency and communicating directly with the consumers.

The report is prepared for development of a web interface for Cookies limited and manages the transaction of the business and the customer details for increasing the efficiency of the current business process. The report describes the data collection and storage system to be used in the system and the design of the system is described in the report. The importance of the system for the business continuity is also discussed in the report.

For the proper working of the system, the organizational information is required to be loaded in the information system. The data is required to be gathered from different source with systematic observation and searching the local transaction management system of the company (Galliers & Leidner, 2014). The data can be stored in cloud servers such that it can be accessed from any remote location and reduce the cost of deployment and management of local database servers.

The system is required to be designed to collect the customer information and suggest them the best product after analyzing their behavior. The data in the information system acts as a basic input for the decision-making process of the business. The main purpose of the collection of the data is to obtain information and keep the records of the customer for making decision. The customer records such as their transaction details and buying preference are recorded in the database of the information system for providing recommendation about the best product (Leong et al., 2016). The data stored in the database are classified as primary and secondary data the primary data are data that are collected from the field and it is the original raw data with a special purpose. The primary data can be collected using a questionnaire or a feedback form from the customer and stored in the database with the respective customer ID. The secondary data are collected that does not have any purpose related with the current project (Wang, Wang & Liu, 2016). The data that is reused for multiple times are termed as secondary data. The sales records, marketing activity, cost information, feedback of the customer is termed as the secondary data.  

Data Collection System

The data residing in the database are stored in different file formats and is categorized in different types of memory such as primary, secondary and tertiary memory. The primary storage are the storage units that can be directly accessed by the CPU and they are termed as high speed memory. It stores the data and transfers it to the secondary storage, the secondary storage are hard drives or flash drives and is used for the storage of the customer and the organizational information (Taylor et al., 2014). The tertiary storage is used for storing huge volume of data and for this cloud service are chosen, using which the data is backed up. The selection of the cloud service would help the organization to reduce the maintenance cost of the database and also increase the efficiency of the current system.  

With the increase in the technology and the innovation, there has been an explosive growth in the information and data and they are required to be stored to meet the growing demand. The information system is required to be designed such that it can efficiently handle the growing customer demands and expectations (Rahayu & Day, 2015). The big data can be applied for handling the huge amount of the data. The efficient handling of the data would help the company maintain a long-term customer relationship and help to provide recommendation for the buyers to purchase multiple types of products. The focus of the development of the new information system must be on building good customer relationship and maintain their records (Bhatti, 2015). The collaboration with new partners across the value chain and recording their information is also required for increasing the efficiency of the system. The core business principles are required to be analyzed for development of a strong framework and align the information system with the current needs.

The recommended information system must record the information of the customer and handle the huge number of customer request efficiently. It is recommended that the big data can be applied for enhancing the awareness, understanding and forecasting the sales. The big data must be used efficiently and data scientists and practitioners must be included in the development process for analyzing the technical possibility for the application of big data (Chiu et al., 2014). The system development must be started with analysis of the requirement and the available technologies that can increase the efficiency of the current system. The clear understanding of the requirement and developing a use case and ER diagram for the project would make the development process easier (Abbasi, Sarker & Chiang, 2016). The leading competitive industries must be analyzed for selection of the appropriate technology and develop the current information system of Cookies Limited. For the expansion of the business and implement an e-commerce platform a proper estimation is required to be made and the utilization of the big data is required to be analyzed.

Storage System

The business continuity is described as the responsibility of a business and enabling the business to stay in the competitive position in the market. The activities important for the managing the developed information system and identify the potential threat for the developed system analyzed. A good business plan includes the following components that helps to maintain the continuity of the business.

• Handling power failures- The developed information system must be connected with a secondary source of power such that system is kept up in case of power outrage
• IT system crashes- If any error occurs in the system it should be resolved immediately appointing a skilled set of programmers and the technical  experts (Fang et al., 2014)
• Natural disaster- A risk management plan for handling any natural disaster is required to be created and the data residing in the database must be backed up in cloud servers such that there is no loss of organizational data.
• Supply chain management problem- The records of the supplier raw material must be loaded in the database of the system and the system must be able to create invoice for the materials purchased.

The information system must be developed such that it can handle any situation and meet the growing demands of the customer. The database of the developed system must backed up for handling any disaster occurring in the business and improve the security and reliability of the system (Chen & Zhang, 2014). The system must be available to the user 24 * 7 and should be connected with a secondary power source such that the system does not shuts down if there is power cut. There should be a proper risk management plan for handling the risk arising after the development of the information system. Technical staffs and a database administrator must be appointed to manage the system and resolve any technical problem immediately (Friedman et al., 2013). The system must have a strong network backbone and immediately respond to the query of the customer or the admin. The ability of the system to handle the errors and facilitate the business improves the sales of the business and reliability of the customer. This also increase the customer loyalty and helps the business to gain competitive advantage in the current marketplace. 

Conclusion

From the above report, it can be concluded that with the implementation of the information system Cookies limited would be benefited. The report is prepared describing the strategic goals of the customer centric design and the data driven business model. A proper planning for the development of a future proof data driven information system is documented in the report and the technologies that can be applied for the development of the system is discussed in the report. Big data and cloud computing is required to be implemented for managing the growing data due to the growth of the organization. The system is developed to take feedback from the customer regarding the improvement of the product and suggest them different types of product analyzing their purchase history and search patterns. The data collection and storage is discussed. Planning for building a consumer centric design is created and recommendation for the system is given.

References

Abbasi, A., Sarker, S., & Chiang, R. H. (2016). Big data research in information systems: Toward an inclusive research agenda. Journal of the Association for Information Systems, 17(2), 3.

Bhatti, T. (2015). Exploring factors influencing the adoption of mobile commerce. The Journal of Internet Banking and Commerce, 2007.

Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275, 314-347.

Chiu, C. M., Wang, E. T., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers’ repeat purchase intentions in B2C e?commerce: the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114.

Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. H. (2014). Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms. Mis Quarterly, 38(2), 407-427.

Friedman, B., Kahn Jr, P. H., Borning, A., & Huldtgren, A. (2013). Value sensitive design and information systems. In Early engagement and new technologies: Opening up the laboratory (pp. 55-95). Springer Netherlands.

Galliers, R. D., & Leidner, D. E. (2014). Strategic information management: challenges and strategies in managing information systems. Routledge.

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.

Leong, C. M. L., Pan, S. L., Newell, S., & Cui, L. (2016). The Emergence of Self-Organizing E-Commerce Ecosystems in Remote Villages of China: A Tale of Digital Empowerment for Rural Development. Mis Quarterly, 40(2), 475-484.

Rahayu, R., & Day, J. (2015). Determinant factors of e-commerce adoption by SMEs in developing country: evidence from Indonesia. Procedia-Social and Behavioral Sciences, 195, 142-150.

Taylor, I. J., Deelman, E., Gannon, D. B., & Shields, M. (2014). Workflows for e-Science: scientific workflows for grids. Springer Publishing Company, Incorporated.

Wang, W. T., Wang, Y. S., & Liu, E. R. (2016). The stickiness intention of group-buying websites: The integration of the commitment–trust theory and e-commerce success model. Information & Management, 53(5), 625-642.