Data security and privacy protection issue in cloud †Free Samples

Questions: 1. Define and explain the concept of the following terminologies: Electronic Records Management; Business intelligence (BI) and Analytics; Data and text mining; Big data analytics and data discovery; Enterprise architecture; Management information systems; Data life cycle and data principles; Cloud computing. 2. How does "data and text mining" create business value? 3.What are the problems associated with cloud computing? Give two examples and provide some solutions.. Explain your answers. 4. Study "Data Quality Determines Systems Success and Failure" in your text book [Chapter 2,IT at Work 2.1] and answer the following questions: Why was an EIS designed and implemented? What problems did executives have with the EIS? What were the two reasons for those EIS problems? How did the CIO improve the EIS? What are the benefits of the new IT architecture? What are the benefits of data governance? 5. Study "Opening Case 3.1: Coca-Cola Manages at the Point That Makes a Difference" in your text book [Chapter 3] and answer the following questions: Why is it important for Coca-Cola to be able to process POS data in near real time How does Coca-Cola attempt to create favorable customer experiences? What is the importance of having a trusted view of the data? What is the Black Book model? Explain the strategic benefit of the Black Book model. Answers: Answer 1 Electronic record management is a program or a set of programs that is designed to store records digitally. Generally a software is used in creation and maintenance of records. Business Intelligence analytics refers to use of different technologies, application and practices for collection, integration, analysis and proper presentation of business information (Chen, Chiang Storey, 2012). Data mining deals with the examination of one or more pre existing database gathering certain required information (Wu et al., 2014). Text mining on the other hand refers to the process of derivation of quality information from text or unstructured information. Big data analytics refers to the idea and strategy of investigating large and different or varied types of data sets, which helps in uncovering the hidden patterns and unknown correlations (Kambatla et al., ). Data discovery is related to business analytics and deals with the collection of data from different databases. Enterprise architecture can be defined as a conceptual blueprint for defining the structure and operations of a particular organization (Lapalme, 2012). It examines how an organization will be able to achieve its goals, both current and future. Management information system can be defined as a computerized database for organizing and managing the financial operations and information in an organized manner (Laudon Laudon, 2016). It is capable of producing regular reports associated with the operations of the management in every level. Data life cycle can be defined as a sequence of stages that gives an overview of a data from its initial generation to its archival or deletion (Chen Zhao, 2012). There are six major stages in a data life cycle, which are generation or data capture, maintenance, active use, publication, archiving and purging. Cloud computing is a process and use of a network based on remote that are hosted over internet that helps in managing, storing and processing the data instead of using a local server. It can be also termed as delivery of computing services over internet (Dinh et al., 2013). Answer 2 Data and text mining helps in analyzing the customers behavior and market competition from the set of collected data. This not only improves competitive advantage in business, but also helps in identifying the latest trends in the market place (Witten, et al., 2016). Since text mining deals with examination of unstructured data as well, it helps an organization in risk and threat detection. Furthermore, it increases customer engagement and helps in taking better business decisions, thus creating business value for the organization. Answer 3 There are certain issues that are applicable to cloud computing. The different risks are as follows (Zissis Lekkas, 2012)- There is a high chance of data breach and unauthorized access to the customer and business data stored over an insecure business network. Therefore data security concern is one of the major problems associated with cloud computing. Cloud computing includes dependency on service providers. For ensuring uninterrupted services, it is essential to acquire a vendor service. Selection of a proper vendor is another major problem associated with cloud computing. The problems associated with cloud computing can be solved by implementing proper security mechanisms such as encryption and authentication to prevent breach of the data stored in cloud computing (Arora, Parashar Transforming, 2013). The problem associated with vendor selection can however be mitigated by the maintaining a legal agreement between the vendor and the client. The cloud computing vendor should be trusted enough to allow data access (Jadeja Modi, 2012). Answer 4 The EIS was developed and implemented to equip the senior managers a proper knowledge of data resources (internal and external) including the key performance indicators (KPIs). The KPIs are associated with their specific requirements. The EIS was a complete failure. The problems that executives found with the EIS was that only half of the data provided by the EIS implemented was associated to the decision making and analysis of the employees at the corporate level. Furthermore, the data was not accessible or available when needed. The two main reasons of the problem are as follows- The IT architecture of the EIS was not designed for customized reporting as it was based on financial accounting rules. The user interface was quite complicated and therefore, the executives could not easily review the KPIs. In order to make the EIS more efficient, the CIO worked with the task force for designing and implementing completely new EA. Proper policies of data governance were implemented in order to standardize the different data formats. The benefits or advantages of the new IT architecture were that, its process was more business driven instead of financial reporting and therefore it was easier to make changes or modify. Furthermore, there was need of fewer IT resources for the system maintenance. The main benefit of data governance is that it eliminates the costly and time consuming ad hoc analysis. Answer 5 POS captures data from retail channels and uses it to create customer profiles. In Coca-Cola, huge volume of data is analyzed in order to make the departments more and better time sensitive. POS data can be analyzed and can be used for supporting the collaborative planning and forecasting and therefore, it is important for Coca-cola to process the important data in real time. Coca-cola attempts to create favorable customers experience by implementing data governance program. It further makes use of the Big data to understand the need and preferences of the customers. Having a trusted view of the data helps in strategic business planning, which further increases the profit margin of the company along with the enhancement of the customers experience. Black Book model brings together the detailed data of the 600+ flavors that is needed for preparing the orange juice for creating a consistent taste. The model helps in specifying the process of creating a consistent taste. The strategic benefit of Black book model is that it defines the specific relationship between the variable that reduces the uncertainty associated with a business process. 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