Problems And Exercises. 1. Business Analytics Focuses On

In today’s companies, the analytics software plays the important role and guides the future activities to a great extent.

The data analytic process is one in which a large amount of information is collected using software specifically geared towards collecting, identifying and storing information for use by the company. The information is gleaned from different forums, with social media being the most rich and useful. The information is then quickly sorted and organized for use by the collecting agency (Turban, Volonino, Wood, & Sipior, 2002, p. 6). The use of data analytics really took flight in 2010 when different companies offered software that enabled a company to implement their own data analytics. This led to better marketing campaigns, improved customer relations and it gave companies using the software a bigger advantage over their competitors (Savitz, 2012).

In the world of technology that we live in today has forced companies in almost every industry to use whatever tools that are available to help them be competitive in their business industry. There are a few ways to do this, one of those ways is the use of Web analytics, which is the collection of raw data from users browsing habits and then taking the raw data and assemble the data into clear comprehensive results. This type of analysis is very useful for companies, as it helps them learn what users are doing and their habits and the best way to target these users.

Business analytics would offer efficiency to the firm whereby it would formulate decisions to help achieve its specified goals. Analytics would help TecWiz to gather data at a faster rate for presentation in a visually appealing way. Therefore, analytics would encourage a

Ordinal variables as described in the text are variables very similar to nominal variables in the fact that they are used to categorize data into columns or tables, but they differ that they can have slight similarities in each without being exactly the same (Walker, J. T. & Maddan, S. (2013). An example of ordinal variables in everyday life is the sport of football. Football can be played at a multiple of different levels such as pee-wee, middle school, high school, college, and finally professionally. What makes these ordinal variables is that each one is more or less the same because they all consist of football, but they are all played at varying ages and for different time lengths. For example high school football can be played for four years before a player graduates, but professional football such as the National Football League has a great variance in the amount of time a player may play the

Stage 4, Analytical Companies – Analytics have been applied at an enterprise-wide level and are being used to drive decision-making, performance, and innovation, but results may not yet have been realized

When designing a study, researchers need to “power” it, which means determine how many people they need to enroll in their study to prove what they want to prove.

Nominal data does not have an inherent order. Dichotomous data is a type of nominal data which have one or two levels only. Ordinal data is made up of variables categories with undefined intervals based on an inherent order. Interval data can be continuous or discrete and is made up of an inherent order with equal intervals. For continuous data, any value in a continuum is used irrespective of the manner of reporting. Discrete data uses specific values which are expressed as counts (Fletcher et al., 2012).

In the New Science of Winning book, (Davenport & Harris, 2007, p.7) analytics is defined as “the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.” [1]. To be successful in today’s competition, my current employer, DLL Financial Solutions Partner (DLL), is competing on analytics and fully aligned its core strategies to be supported by extensive statistical and computer based decisions. DLL is a global financial services company with operation in 36 countries, and its main focus is in the commercial equipment finance sector. In the following paragraph, I will explain DLL’s position in the industry and its ability to successfully compete on analytics with regards to its core business functions.

Just like in baseball there are large and small businesses. Businesses have to make decisions, decisions that will help the business in the long run. By using analytics business can measure their performance to know where they stand financially and economically. Numbers are very important in a

An increasing amount of businesses are exploring this new concept of analytics. In today’s tech-savvy era, the use of analytics can be seen as a necessity rather than a competitive advantage. More companies are realizing the benefits that come with the use of analytics within the business environment. Like anything else, there are both pros and cons that come with this approach. However, the benefits far outweigh the negatives. Business analytics are the future of the business world. This paper will describe a general overview of business analytics and its application to the real world.

Business analytics, in a nutshell, is usage of the type of data that can help one analyze a particular business situation and decide how to improve it. Instruments used for such an assessment include statistics, and both quantitative and qualitative analysis, as well as predictive and explanatory modeling.

Two related articles (Baller & Alan 2009, Galit & Otto 2010) demonstrate that “Business Analytics (BA) refers to the skills, technologies, practices

The company deals in fast moving consumer products and requires an analytics system that helps it serve the needs of its stakeholders more effectively. It has three major rivals in the industry and seeks to streamline its supply chain and inbound inventory processes to improve its cash flows. This implies that the ability of its employees to gather and act on different sources of data will allow them a chance to perform their responsibilities in a timely fashion. Thus, by becoming more conversant with various trends in the market, the organization will be in a position to predict future performance in its key business units. Moreover, modern firms

Google analytics is a tool that analyzes website’s traffic and collects data about surfing behavior. Moreover, google analytics tracks users’ activities in the website (Ledford et al, 2010). Google analytics collects raw data from visitors and turns it to useful information that contributes to improving website performance (Ledford et al, 2010).