Business Information Systems for Big Data Samples †MyAssignmenthelp.c

Question: Discuss about the Business Information Systems for Big Data. Answer: The challenges of big data Big data is a term largely used to refer to a large data volume that is both structured and unstructured. The amount of data is important and usually difficult in the processing using traditional and software techniques. The main characteristics of big data are how its collected, stored and its aims. It highly describes using the 3 Vs, that is, volume, variety, and velocity. In big data a massive amount of data is collected and regularly flows from a number of sources, using different channels in todays digital age. The main aim of big data is how and what the organizations do with the collected data. The large volume of data can be analyzed for the benefits that lead to the improving strategy and decision making of a business (Davenport, 2013, p. 57). These forms of data are essential in business organizations in the day to day processing of products, policies and business processes. Data is usually obtained from different sources that can include data from government sources, company databases, social sites, public sites and sensor networks. Data takes different formats, in number forms, structured in company traditional database to documents in unstructured forms, video, audios, emails and financials transactions (Buluswar, 2016, p. 89). Business and Customers benefits Business and customers can benefit on this by combining big data with an efficient analytics in accomplishing their business related tasks. These benefits include; It's accessible business can benefit in the use of big data in accessing the right data using this form is much easier as compared to the use of traditional forms. Its relevant-. The use of big data is more reliable since it works in filtering the irrelevant information and only collecting and storing data that is more relevant to the customer or business. It's authoritative-using a much more structured big data companies are in advantage of producing a much more accurate intelligence source of their data since this form combine different approved sources of their data thus verifying the truth of this sources of data is much easier. Data collected is trustworthy-poor data quality can lead to monetary losses in a business thus big data provides trust by monitoring simple systems and information regarding customers contacts and other details. It's action oriented big data provides more realistic and up to date data that is essential in the decision making of a business. It's timely-having a data stored and maintained in different forms and with their multiple sources saves the time of the customers and businesses in finding and managing data. Opportunities First, apart from being beneficial, big data also presents opportunities to business who are in a position to identify right infrastructure to use big data and also come up with the best way to implement it.Most business entrepreneurs have relied on this opportunity to invent and innovate their products and services. Second, it presents an opportunity to shed light on peoples intentions and expose their hidden pattern of behaviors. Big data creates an opportunity to join the dots between what people intend to do and what really do, also highlights on their relationship with others and the environment Third, it provides an opportunity in data storage, the technical procedures used makes it effective in managing a large amount of data that is directly or indirectly created and analyzed by users. These can be used by business to improve on their markets by studying data collected on customer trends and lifestyle Fourth, it has enabled users to store intensive data types, providing efficient and effective communication. Ethical and Security issues. Big data is, however, faced with one of the biggest challenge surrounding security and ethical issues of data privacy that involving what is shared data that is not shared. One of the ethical issues surrounding data collection is the right to privacy, which gives a person the authority to allow or limit those who will access their personal information. The public has the capacity and power in dictating how an organization collects, use, and shares information from them. Another ethical issue is customer an assurance on how their information is going too used. How the data collected should be made clear to the customer so as not to conflict with their privacy status (White, 2016, p. 94). The companies should provide data security so as provide trust, as preventive measures in controlling access to customers personal data. Security issues facing big data is how to keep these data collected secure, these issues include; Negative impacts associated with the use of data of a customer of groups of people, and the consequences if their information is publicized. The business should be aware of the damage that will be caused if data is exposed (Nrusimham, et al., 2013, p. 114). The business should be in place to create user authentication for their employees who are in place of accessing these data and information Another security issue the business should consider is recording all the data access channels and histories and work in being compliant with security regulations. Conducting due diligence when sharing or collecting data from a third party member, this should work to ensure accountability and transparency on the data collected. Summary and Recommendations for Business Owners. Big data offers solutions such as highly optimized data, data extraction capabilities cloud hosting that is essential in the decision making of a business. Through this companies can reduce their risk in cost, increase marketing and achieve a better decision making strategy. Recommended strategies include; Customer centric Business should focus on data that should add value to their organization, this means they should focus to provide customers with much better products and services .the business owners should work to understand their consumers need to invent better technologies in analyzing this strategy (Roe, 2013, p. 99). Enterprise This includes the creation of a wide understanding of how the business intends to use data to improve its mission and objectives. Use existing data To achieve the short term goals the owners should work with existing information as big data implementation starts. Skills and investments. Big data strategy requires the business to deal with what exist in their markets, this means they should invest in their skills and available tools. Measurable outcomes To create a reliable big data, business owners should be able to see and measure the advantages of using this strategy (Roe, 2013, p. 112). References Buluswar, M., 2016. How Companies are Using Big Data and Analytics. McKinsey $ Co, pp. 112-136. Davenport, T. H., 2013. Big Data in Big Companies. SAS, pp. 12-15. Nrusimham, A., Zoher, . K. Ruben, S., 2013. Big Data Challenges. McKinsey $ Co, pp. 613-615. Roe, D., 2013. Recommendations for a Big Data Analytics Strategy, Chicago: Simpler Media Group. Inc. White, S., 2016. Ethical Questions About Big Data. CGMA, 15 June.