Importance Of Software Solutions For The Decision Making Of A Massive Data Or Big Data Essay

Decision making and communication are at the center of business success and efficient business analytics would only be effective through the use of proper information systems and that are up to date with current trends as well as optimizing on the available channels.

As we discuss the possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that will be required to run specific business intelligence software. Lastly, I will give a brief synopsis on three vendors (IBM, Microsoft Microsoft and Oracle) that are dominating the business information software

DSS systems are beyond doubt helpful in assisting management and providing solutions while confronting complex issues. However, artificial intelligence can be included to enhance DSS capabilities. An Information Technology department “can further expand business brainpower by means of artificial intelligence (AI)-the science of making machines imitate human thinking and behavior.” (Haag, Cummins p.167) The AI systems that are utilized in the business world include expert systems, neutral networks, genetic algorithms, and intelligent agents.

The theme of this book is how businesses in today’s world use ever-improving technology to collect data, convert it into information and business intelligence, and combine this information and intelligence with the knowledge of the workers to help make the best decisions they possibly can for the benefit of the company and the customers. Throughout the book, there are discussions on the different ways that technology can help a business with this process. When going into detail about the various information systems, this book also brings into

Decision support systems (DSSs) help professionals make decisions by determining the most favorable options to a “What if?” question. Using raw data, DSSs can make comparison and generate new information to assist in decision making.

Decision support systems (DDS) is a content free expression that assists decision makers utilized data (component) and models (component) to solve unstructured problems by providing the available data in a timely manner. Most components are standard, however in some cases it is necessary to build some or all of the components.

Implementing Decision support system (DSS) can benefit greatly in a business and strengthen the bond to its customers and its employees. For instance, Kudler would benefit greatly with the usage of a DSS to its advertisement team because allowing what-if analysis could grow the business remarkably.

First off, what is DSS? “A decision support system (DSS) is a computer program application that analyzes business data and presents it so that users can make business decisions more easily.” (Rouse, 2010, para. 1) “It is an "informational application" (to distinguish it from an "operational application" that collects the data in the course of normal business operation).” (Rouse, 2010, para. 1) This systems data collected is usually displayed in a graphical format on the dashboard. This may comprise an “expert system or artificial intelligence”. (Rouse, 2010, para. 2)

Decision Support Systems promote a learning culture in an organization. Employees and managers learn new concepts and more efficient ways of improving the organization, either as a byproduct of the application of DSS or from the direct implementation of DSS as training tools. This learning process is good for the company’s future decision making processes.

The decision support and intelligent systems that can be used in the company include enterprise-wide systems, knowledge work systems, and intelligent techniques, Great World Enterprises will focus on intelligent techniques for the decision support. It is a database technology that will allow the firm to capture data and analyze the resulting patterns (Aronson, Liang, & Turban, 2005). Data mining will be at the center of the decision support and intelligence systems. It is important to note that data mining is the process used by organizations to sort large data sets so as to identify patterns and determine relationships. The process will begin with the construction of a data warehouse. It is a relational database system that will enable Great World Enterprises to store large quantities of structured and unstructured data. The data warehouse system will include a business intelligence section that will process the stored data to establish patterns and relationships. The analysis will be

Organizations collect data. This raw data must be analyzed to tease out useful information. The software used to analyze raw data is known as Business Intelligence (BI). BI is comprised of theories and processes such as data mining, online analytical processing, querying and reporting. BI improves decision making, cuts costs and identifies new business opportunities (Mulcahy, 2007). The web data extraction company, Connotate, uses BI systems, specifically dashboards, to focus on more profitable business, saving them time and money while also boosting customer satisfaction rates (6 Real Life., 2013).

11. Note the word “support” in decision support systems. Why these applications are not called decision-making systems?

DSS provide semi structured and unstructured decisions; it does not only focus on a particular level of management decision, as it integrates by partially overlaying between the three levels of decision making

Due to the rapid growth in the use of Internet and its connected tools, an enormous amount of data are being produced on a daily basis. The concept of big data arrives when we were unable to manage this huge data with traditional methods. Big data is a mechanism of capturing, storing and analyzing the big datasets and also an idea of extracting some value from it. It is very handful while determining the root causes of failures, issues and defects in near-real time, creating coupons and other sales offers according to the customers shopping patterns, detecting any suspicious and fraudulent activities in real-time. As it is very advantageous, it also has some issues. Some of the common issues can be characterized into heterogeneity, complexity, timeless, scalability and privacy. The most important and significant challenge in the big data is to preserve privacy information of the customers, employees, and the organizations. It is very sensitive and includes conceptual, technical as well as legal significance.

R.L Fielding (2008) reiterates that Business Intelligence is a thorough and holistic analysis of the company records, data, information, and software application for effective decision making. All decision making processes need an organized, readily-accessible, and human readable compilations of data. With the use of an effective tool the firm can easily figure out their own business processes, the behavior of their customers, and the economic trend of the industry. With these facts, the firm can arrive at a better strategy to achieve their specified goals with confidence.