Data Mining 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

Wikipedia, http://en.wikipedia.org/wiki/Business_intelligence, defines business intelligence as “computer based techniques used in spotting, digging out and analyzing business data.” SQL Server’s Business Intelligence tools include the Reporting Services, Analysis Services, and Integration Services among others. A complete overview can be found at

senior management and front-end workers) at the early stage of implementation. This can provide users an in-deep knowledge how the system is established, how to operate the system and how to transform and structure information into standardized data, at the same time, CTC can learn from their user experience design a better BI system will fit well with the existing working process and increase usability of this BI portal for the Data Warehouse on the BI system beta testing stage. By engaging senior management in the process would allow them to have a better vision on exanimating how well the current organization structure and culture is supporting the implementation of the BI system, and develop a better technical user supporting tools such as the “BI helpdesk website platform” to overcome the frustrations and problems that will occur to the users to eliminate the frustrations and increase the acceptance of the BI system. Moreover, it needs to establish an instant communication tool that provides one-click access throughout the organization to encourage interaction and reduce the psychological distance in collaboration. The BI system strategy will succeed only when user adopt the system , therefore there must have a strong alignment between the 4 components ( Structure, Technology, People and Process) and adequate training, supporting tool and reward incentives for

As stated above, data mining is often used to solve business decision problems, “it provides ways to quantitatively measure what business users should already know qualitatively” (Linoff, 2004). A growing number of industries are using data mining to become more competitive in their market by primarily focusing on the customers; increasing their customer relationships and increasing customer acquisition.

Decision Support Systems (DDS’s) can greatly enhance business processes in a number of ways by enabling consistent monitoring of Business Intelligence (BI) data from a number of sources. Foremost, these sources can include former Executive Decision Support (EDS) systems, Management Information Systems (MIS), including, transactional data captured via Transactional Processing Systems (TPS), and Online Transactional Processing (OLTP) systems. This academic paper will discuss Business Intelligence, (IT)-Business/ Alignment with the Business Strategy. Also, there will be an initiative to describe both objectives and levels of strategic planning, including, how each can be supported by (DDS). Initially, we begin by discussion of Business

Today with the ever growing use of computers in the world, information is constantly moving from one place to another. What is this information, who is it about, and who is using it will be discussed in the following paper. The collecting, interpreting, and determination of use of this information has come to be known as data mining. This term known as data mining has been around only for a short time but the actual collection of data has been happening for centuries. The following paragraph will give a brief description of this history of data collection.

Business intelligence (BI) is the process of gathering enough of the right information in the right manner at the right time, and delivering the right results to the right people for decision-making purposes so that it can continue to yield real business benefits, or have a positive impact on business strategy, tactics, and operations in the enterprises. Business intelligence is a well-established and generally well-known software category that spans a wide range of functional capabilities. Business Intelligence systems are one step

Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers; (2) to reduce fraud; (3) to identify internal wastefulness and deal with that wastefulness in operations, and (4) to chart unexplored areas of the internet

Business intelligence systems is complex combination of technology and analytical techniques facilitate business decision making (Chae & Olson, 2013). Additionally, BI provides relevant information on an enterprise and with regards to the market that it is in, incorporating customers, technologies, products, markets, suppliers and competition (Sangari & Razmi, 2015). A corporation generates a lot of operational and transactional data about products, services, sales, customers etc. stored across the various databases in the company we have to select the data that can be used to create intelligence after processing using extraction, transformation and loading (ETL) (Chae & Olson, 2013). Moreover, the data must generate business value, this can be done using data mining, analytical techniques to convert raw data into informational insights to predict future events (Chae & Olson, 2013). Lastly, BI enable to monitor and report company’s performance by the use of KPI’s across various domains by mapping with frameworks like Six Sigma to create dashboards and scoreboards with suggest corrective actions (Chae & Olson, 2013).

Business Intelligence (BI) tools are extensively adopted by many companies to operate as efficiently as possible. The report investigates a BI adoption in a retail chain. . The analyzed data and reported actionable information help the stakeholders take right decisions in their business. Finally, the presented research identifies innumerous benefits including decision-making to be the most vital by the retail chain managers.

Background - One of the most promising developments in the field of computing and computer memory over the past few decades has been the ability to bring tremendous complex and large data sets into database management that are both affordable and workable for many organizations. Improvement in computer power has also allowed for the field of artificial intelligence to evolve which also improves the sifting of massive amounts of information for appropriate use in business, military, governmental, and academic venues. Essentially, data mining is taking as much information as possible for a variety of databases, sifting it intelligently and coming up with usable information that will help with data prediction, customer service, what if scenarios, and extrapolating trends for population groups (Ye, 2003; Therling, 2009).

In every long term strategic planning, many companies considered data collection and analysis as a fundamental activity. Big companies that strive to achieve a sustainable advantage over their competition made use of information management system to help them analyze their data. These activities have evolved to what is now known as business intelligence of BI.

The addition of a BI platform to an organizations existing software can greatly improve the functionality of those programs. In Gartner’s “Magic Quadrant for Business Intelligence and Analytics Platform” article, they define the main uses of BI platforms as:

Data mining is defined as the examining of large databases of information in order to generate new information. Nearly every transaction or interaction leaves a data signature that is captured and stored. Data mining is a means of automating the process of analyzing the patterns of data according to different categories. The information is then sorted, collected and assembled into data warehouses for more efficient analysis by algorithms and used to facilitate business decisions. Sophisticated mathematical algorithms are used to segment the data and evaluate the probability of future events.