Enterprise Data Management Wal-Mart

Question: Discuss about theEnterprise Data Managementfor Wal-Mart. Answer: Introduction Wal-Mart is famously known as a multinational corporation that has its main headquarters in the United States of America. It runs several big discount department warehouses and store chains around the world. The main focus of Wal-Mart retail chain is always making a difference to many of its customers. The giant retail chain also helps the people to live and save their money in a better way (Davenport 2013). Summary Data Challenges Faced by Wal-Mart Wal-Mart faces a series of challenges, these challenges include; volume of data growing too fast-this implies that there will be an increment in both trained personnel and the storage facilities, this in turn increases the expenditures making business to grow at a very slower pace. Data being stored in too many silos; the different silos are not in one connection (Fan, Lau, Zhao 2015). This makes the retrieval of such data hard making a slow progress in serving their customers and agents. Poor quality data; this majorly affects decision making and in turn resulting to a poor feedback to its customers hence they may end up loosing their clients. Data is also slow; this data hence reaches a specified number of consumers hence relaying inappropriate information to its consumers. Lack of specialized personnel is also a hindrance as poor quality data is produced. This in turn causes a fall in the quality of goods and services produced causing a drop in the volume of customers drop of customers makes the company to earn less profits(Jarke, et al. 2013). Poor infrastructures-as Wal-Mart serves a wide variety of personnel it; some facilities do not reach a wide number of people. This in turn makes some consumers to search for other companies providing better services so as for them to be satisfied. Competition from other firms is also another aspect-some other firms come up with improved technology; this in turn increases high quality services and in turn attracting various customers. This has caused a drop of Wal-Marts consumers. Strategies Business-Level Strategy. The retail giant is said to mainly focus on different ways of how it can reduce its operational costs. Wal-Mart does this by continuously coming up with strategies on to accomplish their support and primary activities to enable bring their cost of operation a bit lower. However, as it does this, it also strives to maintain its level of competitive differentiation. Wal-Marts success in the supply chain management has enabled it to implement its leadership cost effective strategy(Jarke, et al. 2013). This has in turn enhanced its conduciveness and competition in the market especially when carrying out its activities in a more effective way hence making it to advance faster in the job market. Wall-Marts Corporate-Level Strategy. For about thirty years now, Wall-Marts single business strategy has been praised for its major contribution to its success. Wall-Mart does not believe in the concept of diversification to sustain its growth and advantages that it encounters in its competitive level (Mohanty, Jagadeesh and Srivastsa 2013). Wall-Marts Global-Level Strategy The retail giant has had the capability magnificently get into the international market due to its application of multinational business strategy. Wall-Mart has built so many different connections with countries around the globe. They have many connections with their customers and multiple bigger agencies. In this strategy, Wall-Mart treats its customers around the world in different ways. Every customer is treated differently according to the country he or she is in. This has enabled Wall-Mart to enhance its profitability and productivity hence making it to progress further. This has enabled it to have a trade of higher levels of technology that has helped to store its data more effectively. Conclusion and Recommendation In order to improve the level of data storage and attraction of customers within Wal-Mart; it has comes up with several ways to achieve its objectives; To be able to solve the challenges they are facing, they need to imply the following; Need to employ trained personnel-that will be able to handle the crises in the organization so as to maintain its frequent customers and agents and also increase the productivity of the organization and its surplus to their customers and agents all over the world(Tien 2013). They need to increase their storage facilities-this will enable them to be able to store a wide variety of data measures that promote the working personnel-this also have to be put into place so as to improve on the work rate and morale of the staff-this insures that high quality products are obtained. For invention to take place something beyond the initiation of a notion or vision is necessary; the notion ought to be implemented to make a candid distinction. Excellent tactical controlling needs interaction calculated preparation action and implementation. There should also be teamwork between the working personnel-this in turn encourages innovation among the personnel that improves on the high quality products and also storage of data in a specified form that can be easily retrieved. Promotions should also be directed towards the consumers so as to create a mutual relationship hence attracting more consumers. This in turn brings more customers. The working personnel should also be encouraged through regular promotions so as to improve the inventions of the personnel. These inventions in turn eases the work rate and improves output making consumers get better services. Working personnel should also attend regular forums so as to improve on their innovative abilities. The sharing of ideas brings up new ideas used to strengthen Wal-Mart and in turn attracting and maintaining its customers at all times. The construction of many storage facilities which are centralized to in the organization and there branches in other countries across the world will enable them to have a centralized management hence easily retrieving data and facilities easily. The coordinated work output therefore increases supply and easy access by the potential customers. References Davenport, T.H., 2013. Enterprise analytics: Optimize performance, process, and decisions through big data. Pearson Education. Fan, S., Lau, R.Y. and Zhao, J.L., 2015. Demystifying big data analytics for business intelligence through the lens of marketing mix. Big Data Research, 2(1), pp.28-32. Jarke, M., Lenzerini, M., Vassiliou, Y. and Vassiliadis, P., 2013. Fundamentals of data warehouses. Springer Science Business Media. Laudon, K.C. and Laudon, J.P., 2011. Management information systems (Vol. 8). New Jersey: Prentice Hall. Mohanty, S., Jagadeesh, M. and Srivatsa, H., 2013. Big data imperatives: Enterprise Big Datawarehouse,BIimplementations and analytics. Apress. Tien, J.M., 2013. Big data: Unleashing information. Journal of Systems Science and Systems Engineering, 22(2), pp.127-151.