Take an industry perspective to the areas of study we will cover in the course. Consider the following study areas for this course.
1- Data management, data mining, and data warehousing.
Definitions of Data management, data mining, and data warehousing
Data Management: It is an administrative process, which helps in gathering, confirming, storing, defending, and processing data in order to acquire reliability as well as accessibility for satisfying the data users (Farber et al., 2013).
Data mining: A procedure of sorting that helps in identifying patterns as well as establishing relationships (Larose, 2014).
Data Warehousing: Data warehousing is defined as an electronic storage system that is used for storing large amount of organizational information (Cuzzocrea, 2013). It is a subject oriented integrated way of collecting non-volatile information in order to support the decisions of the management.
Identification of common management, governance, strategic and planning elements
Management: The database management system is used in data management, data warehousing and for data mining. It helps in managing and organizing data by replacing redundancy, inconsistency in order to secure the data effectively (Christopher, 2016). The database management systems provide many advantages, which include sharing of data, integration and consistency of data and many more.
Governance: E-governance is the common system of governance among various processes of data management, data mining and data warehousing (Kurian & Ardakanian, 2013). It involves in different applications of Information and Communication Technology by the governmental agencies in order to deliver information and services to the business and the employees of the government.
Strategic and planning elements: The common strategic planning elements include implementation and monitoring of strategic plan. Once the processes of data mining, data warehousing and data management are outlined, a strategy is planned which helps in ensuring the feasibility of the processes (Cassidy, 2016). Monitoring of strategic planning is required in order to monitor the success and challenges of planning initiatives and assumptions. While evaluating the successes of a plan it is much important to look objectively at the measurement criterion that is defined in the goals and objectives of the project.
Operational systems, supply-chain management and CRM systems
Definitions of Operational systems, supply-chain management and CRM systems
Operational Systems: An operational system is defined as a term that is used in data warehousing for processing the day-to-day transactions in an organization (Song et al., 2016).
Supply chain Management: It is defined as a procedure that helps in co-coordinating and integrating the flow of information, materials and finances within different companies (Gupta et al., 2016).
CRM systems: Customer relationship creating strategies, practices and technologies that are used by the organization for administration and analyzing customer interaction throughout the life cycle of the customers (Van Valkenhoef et al., 2013).
Identification of common management, governance, strategic and planning elements
Management: The main objective of the operation system, CRM system and supply chain management system is to process the use of companies in order to track and organize contacts with the prospective and current customers of the organization (Christopher, 2016). It uses the same process of management in order to improve the services that are provided to the customers. This is mainly done for using the information of customers in the target markets in order to achieve benefit for the company.
Governance: The governance is useful in establishing policies and monitoring proper implementation procedure by using different management systems (Kurian & Ardakanian, 2013). The procedure of governance includes various types of mechanism that are required in order to balance the power of the employees and their primary duty that is associated with enhancing the viability and prosperity within an organization.
Strategic and planning element: communicative strategy is used as a strategic and planning element by the different systems in the organization for effective development and enhancement of strategic plan (Cassidy, 2016). In the communication, strategy plans are implemented and communicated with the help of different systems like CRM system, supply chain management and operational management either to the staff or to the customers.
Decision-support systems, OLAP, and MIS/EIS systems
Definitions of Decision-support systems, OLAP, and MIS/EIS systems
Decision- support systems: A decision support system is one of the computerized programming application that helps in analyzing business data and presenting it so that the users do not face any difficulty in making business decisions (Peltier et al., 2013).
OLAP systems: OLAP is a computerized processing that enables a user to select extract and view data from different sources (Song et al., 2015).
MIS/EIS systems: An executive information system is defined as a decision support system that helps in assisting senior executives in the decision making process.
Identification of common management, governance, strategic and planning elements
Management: The main objective of the management system is to provide a model in order to follow various strategies and decision adopted by the organization by using different systems like decision support system, OLAP system and MIS system (Christopher, 2016). The main function of the common management system is to increase the efficiency by improving the risk management that is associated with different products and services of the organization.
Governance: The e-governance is used as an application of information and communication technology in different aspects, which includes delivering of services, exchanging of information, communication transactions between the organization and the customer (Kurian & Ardakanian, 2013).
Strategic and planning elements: The organization uses implementation strategy procedure in order to process and take decisions (Cassidy, 2016). The implementation strategy helps in planning the processes on different topics that are related with the different operations of the organization. The system uses the implementation and monitoring process for proper and effective planning. In implementation strategy, accountability measures are taken in order to ensure proper functioning of the different systems.
References
Cassidy, A. (2016). A practical guide to information systems strategic planning. CRC press.
Christopher, M. (2016). Logistics & supply chain management. Pearson Higher Ed.
Cuzzocrea, A. (2013, July). Analytics over big data: Exploring the convergence of datawarehousing, OLAP and data-intensive cloud infrastructures. In 2013 IEEE 37th Annual Computer Software and Applications Conference.
Färber, F., Cha, S. K., Primsch, J., Bornhövd, C., Sigg, S., & Lehner, W. (2012). SAP HANA database: data management for modern business applications. ACM Sigmod Record, 40(4), 45-51.
Gupta, I., Serb, A., Khiat, A., Zeitler, R., Vassanelli, S., & Prodromakis, T. (2016). Real-time encoding and compression of neuronal spikes by metal-oxide memristors. Nature Communications, 7.
Kurian, M., & Ardakanian, R. (2013). Institutional arrangements and goverance structures that advance the nexus approach to management of environmental resources. WHITE BOOK, 57.
Larose, D. T. (2014). Discovering knowledge in data: an introduction to data mining. John Wiley & Sons.
Peltier, J., Zahay, D., & Krishen, A. S. (2013). A hierarchical IMC data integration and measurement framework and its impact on CRM system quality and customer performance. Journal of Marketing Analytics, 1(1), 32-48.
Song, J., Guo, C., Wang, Z., Zhang, Y., Yu, G., & Pierson, J. M. (2015). HaoLap: a Hadoop based OLAP system for big data. Journal of Systems and Software, 102, 167-181.
Van Valkenhoef, G., Tervonen, T., Zwinkels, T., De Brock, B., & Hillege, H. (2013). ADDIS: a decision support system for evidence-based medicine.Decision Support Systems, 55(2), 459-475.
