MISY 5360 Exam One Review Questions and Verified Answers, 100% Guarantee Pass (Latest 2025) · Changing business environments and evolving needs for decision support and analytics, - Correct Answers ✅Managers must have high-speed, networked, cloud-based information systems to assist them with their most important decisions. Analytics and BI tools such as data mining, online analytical processing (OLAP), and decision support are the cornerstones of today's modern management.· Developing or acquiring BI systems, shells, pages 21-22 - Correct Answers ✅· Today, many vendors offer diversified tools, some of which are completely preprogrammed (called shells); all you have to do is insert your numbers. These tools can be purchased or leased. For a list of products, demos, white papers, and more current product information, see product directories at tdwi.org. Free user registration is required. Almost all BI applications are constructed with shells provided by vendors who may themselves create a custom solution for a client or work with another outsourcing provider. The issue that companies face is which alternative
to select: purchase, lease, or build. Each of these alternatives
has several options. One of the major criteria for making the decision is justification and cost-benefit analysis.· Evolution of decision support, BI, and analytics, pages 13- 15, fig. 1.8 - Correct Answers ✅- In the 1970s, management information systems (MIS) focused on providing structured, periodic reports that a manager could use for decision making. DSSs are computer-based systems that help decision makers utilize data and models to solve unstructured 1 / 4
MISY 5360 Exam One Review Questions and Verified Answers, 100% Guarantee Pass (Latest 2025) problems. There is no universally accepted definition of DSS; it means different things to different people.-In the late 1970s and early 1980s, a new line of models emerged that promised to capture experts' knowledge in a format that computers could process. Rules-based expert systems (ESs) allowed scarce expertise to be made available where and when needed, using an "intelligent" DSS.-The 1980s saw a significant change in the way organizations captured businessrelated data. The old mostly sequential and nonstandardized data representation schemas were replaced by relational database management (RDBM) systems. Data integrity and consistency became an issue, significantly hindering the effectiveness of business practices.-In the 1990s, executive information systems (EISs) were designed for executives and their decision-making needs.These systems were designed as graphical dashboards and scorecards so that they could serve as visually appealing displays. By doing so, they were not hindering the efficiency of the business transaction systems.
- 2000s As the amount of data accumulated in DWs
increased, so did the capabilities of hardware and software.Because the data in a DW is updated periodically, it does not reflect the latest information in a timely manner. Vendors developed systems to update the data more frequently, leading to the term real-time data warehousing.-In the 2010s, we are seeing yet another paradigm shift in the way that data is processed and used. The term Big Data has 2 / 4
MISY 5360 Exam One Review Questions and Verified Answers, 100% Guarantee Pass (Latest 2025) been coined to highlight the challenges that these new data streams have brought o · Integration of systems and applications, page 22 - Correct Answers ✅· With the exception of some small applications, all BI applications must be integrated with other systems such as databases, legacy systems, enterprise systems (particularly ERP and CRM), e-commerce (sell side, buy side), and many more. In addition, BI applications are usually connected to the Internet and many times to information systems of business partners. Furthermore, BI tools sometimes need to be integrated among themselves, creating synergy. The need for integration pushed software vendors to continuously add capabilities to their products.Customers who buy an all-in-one software package deal with only one vendor and do not have to deal with system connectivity. But, they may lose the advantage of creating systems composed from the "best-of-breed" components.Alternative data warehousing architectures - Correct Answers ✅At the highest level, data warehouse architecture design viewpoints can be categorized into enterprise-wide data warehouse (EDW) design and DM design (Golfarelli & Rizzi, 2009). In Figure 3.8a-e, we show some alternatives to the basic architectural design types that are neither pure EDW nor pure DM, but in between or beyond the traditional architectural structures. Notable new ones include hub-and- 3 / 4
MISY 5360 Exam One Review Questions and Verified Answers, 100% Guarantee Pass (Latest 2025) spoke and federated architectures. The five architectures shown in Figure 3.8a-e, are proposed by Ariyachandra and Watson (2005, 2006a,b). Previously, in an extensive study, Sen and Sinha (2005) identified 15 different data warehousing methodologies. The sources of these
methodologies are classified into three broad categories:
core-technology vendors, infrastructure vendors, and information-modeling companies.
- Independent data marts. This is arguably the simplest and
- Data mart bus architecture. This architecture is a viable
- / 4
the least costly architecture alternative. The DMs are developed to operate independent of each other to serve the needs of individual organizational units. Because of their independence, they may have inconsistent data definitions and different dimensions and measures, making it difficult to analyze data across the DMs (i.e., it is difficult, if not impossible, to get to the "one version of the truth").
alternative to the independent DMs where the individual marts are linked to each other via some kind of middleware. Because the data are linked among the individual marts, there is a better chance of maintaining data consistency across the enterprise (at least at the