Question #1 – As we are just beginning the course, what are your definitions of:
• Business Intelligence: Business intelligence is a program that coordinates the best combinations of data in sales to achieve maximum profits.
• Business Analytics: Analyzing the business modules for better profitable outcomes.
• Data Mining: Process of extracting data and matching it to the desired business modules.
Shmueli Chapter #2
Problems 2.2, 2.3, 2.4, 2.5, 2.6, and 2.10
Problem 2.2: Describe the difference in roles assumed by the validation partition and the test partition.
Answer:
According to Shmueli
‘Validation Partition- This partition (sometimes called the test partition) is used to assess the performance of each model so that you can
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• There aren’t enough responses with 0 in them (most of them are 1s)
Problem 2.4: Consider the sample from a bank database shown in Figure 2.14; it was selected randomly from a larger database to be the training set. Personal Loan indicates whether a solicitation for a personal loan was accepted and is the response variable. A campaign is planned for a similar solicitation in the future, and the bank is looking for a model that will identify likely responders. Examine the data carefully and indicate what your next step would be.
Answer:
Our next step ought to be to get more information where the personal loan was acknowledged. This sample data has all rejected personal loans, as assuming 0 stands for rejection.
Problem 2.5: Using the concept of overfitting, explain why when a model is fit to training data, zero error with those data is not necessarily good.
Answer:
Zero error in a training data in most cases shows that the model has fit random noise in the training data as well. This implies that the model won 't sum up well for new or unknown data.
Problem 2.6: In fitting a model to classify prospects as purchasers or non-purchasers, a certain company drew the training data from internal data that include demographic and purchase information. Future data to be classified will be lists purchased from other sources, with demographic (but not purchase) data included. It was found that “refund issued” was a useful
10. What can we say about the credit balance for a customer that has a household size of 10? Explain your answer. We cannot say anything about the credit balance for a customer that has a household size of 10 because since the maximum value of the predictor variable (size) used to formulate the given regression model is only 7, which is much less than 10; therefore, we cannot use the given regression model to accurately estimate the credit balance for a customer that has a household size of 10. Correct
Enter the TUN site and select “cases, projects and assignments.” Then select the case study: “Harrah’s High Payoff from Customer Information.” Answer the following questions about this case:
Business Intelligence refers to the variety of systems used by a company to analyze their raw data. The data is stored in data warehouses, in which
Business Intelligence is process of data analysis that concentrates on business processes by helping all the higher executives in the corporate world and also the end users in making informed decisions. Business Intelligence consists of mixed tools and instructions, applications and philosophies that empower associations to gather information from inner frameworks and outside sources, set it up for analysis, create and run queries against the information, and make reports, dashboards and information visualizations to make the logical results accessible to corporate leaders and in addition operational specialists.
Business Intelligence (BI) is defined by IBM as, “the discipline that combines services, applications and technologies to gather, manage and analyze data, transforming it into usable information to develop insight and understanding needed to make informed decisions.” (IBM.com, 2006) In its most basic form, BI is an umbrella principle that synergizes the core understanding of your business, including all of its facets, and acting on what that foundation is made up of.
c) comment on the vailidit of this model/. Should any other variable be included? Which ones? Why
Business intelligence (BI) is defined as the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI has been around long before computers and access to the internet. For example, an old ship building yard would have to keep track of its various transactions, employees, profit, suppliers, materials, etc. The shipyard owner would then turn this collected raw data into useful information in order to figure out where the company is going wrong and where it can improve. If the suppliers have not shipped on time for weeks the shipyard would know to find more reliable suppliers - this is a very simple example of utilizing business intelligence. In
Business Intelligence is the gathering and analysis of large amounts of information so as to gain insights that propagate strategic and tactical business decisions. Business Intelligence is the mix of the processes and technologies which change data into information. It includes a wide category of technologies, including data warehousing, multidimensional analysis or online analytical processing, data mining and visualization, as well as basic queries and multiple types of analytical tools for reporting. These technologies allow business stakeholders to collect, store, access, and do the analysis of data to improve the business decision-making capabilities.
The dataset used for the project is the German credit dataset that consists of customers’ financial and credit information and the resulting classification of customers as “good” or “bad” credit risks. This is a well-known publicly available dataset containing observations on 20 variables of 1000 past applicants of which 700 are classified as “good” credit risk and 300 are classified as “bad” credit risk.
Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. It is a solution package, to integrate all the existing data of organizations efficiently, provide accurate report to support high level managers to make business strategic decision.
-validation set, which is an accuracy indicator of the prediction sample, although it is not used during the
As a loan description is a supplementary text written and submitted by the borrower, it tells facts about the borrower. Considering factors within loan description, we construct four hypotheses under several reasons mentioned below:
As Model 1 has been used by both Shin and Zhao(2013) and Wang et al. (2015) for identification of overall re-lending activities, I decided to use that model as a base for further estimations. However, if the results from using Model 1 is not definite enough estimations from the other two models are also utilized.
Based on the objectives of the experiment, it is important to describe the credit datasets, the classiers, the
In my opinion the Business Intelligence means the procedure of taking substantial and also mixing of Knowledge, Data analysis, Technology that which may runs business opinions and views to reach their requirements that which leads to get a solution that which is Enterprise’s Growth and success