Analytics, Quantitative And Statistical Models

Considering this evolution, "in the past, analytics was reserved for back-room deliberations by data geeks generating monthly reports on how things are going. Today, analytics make a difference in how the company does business, day by day, and even minute by minute". (Hackathorn, R., 2013).

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

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.

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).

A fundamental transformation is being observed in the field of healthcare industry as it moved from volume based business to value based business. With increasing demands from consumers for better healthcare quality, plans and increased care, healthcare providers are expected to provide better outcomes. The cost dynamics of health care industry is changing globally, which is driven mainly by longer life expectancy, pervasiveness of chronic illness and infectious disease. New market entrants, new medical approaches have made the things more complicated. All these challenges in the industry open the way for analytics work to expand more. Here in this document, we would like to mainly focus on the following aspects to understand the use of analytics in day to day industry operations.

The ability to compete on analytics is made possible by certain qualities some companies possess which allows them to collect and use immense amounts of data in a way that differentiates the success and practices of those companies amongst any other businesses. Davenport and Harris (2007) define analytics as “extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions” (p. 7). Therefore, to be able to compete on analytics, a firm must not only use the data to extrapolate and execute strategies and models in order to drive business, but also to use that data better and smarter than their competitors. This requires forward thinking and continual developments of current analyses and practices. With regard to Davenport and Harris’s criteria and concepts on the ability to compete on analytics, Old Navy LLC’s practices will be analyzed to find whether the company is able to compete, is a competitor, and how it competes, if at all.

Analytics in fact has reached a far new level in today’s competitive and constantly changing environment and is only bound to grow further in the industry. Although it emerged as an arm of consulting but looking at the volume, variety and velocity with which data is growing on the internet and even otherwise, analytics of going to leave consulting far behind, But that is not to say that consulting is losing out because consulting jobs still are in demand today and companies in the future are going to feel the need to outsource their projects to consulting companies or individuals because analytics can’t be considered a substitute of consulting. Thus we see that, although consulting remains important today but analytics is something that has moved beyond it and carved a niche for itself. The analytics industry is only going to grow in the future that too with immense pace and can be said to have already emerged out of the shadows of

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

Data analytics is the science of examining raw data with the purpose of drawing conclusions about certain information that is drawn from the data. By gathering data, it must be captured and reviewed then it can be turned into information. There are different types of analytics such as descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics will describe, what happened during the process. Diagnostic analytics describes, why did it happen. Predictive analytics describes, what will happen. Prescriptive analytics describes, how can the process happen with a different approach. By applying these different types of analytics, it will answer several questions during the auditing process. Involving analytics to a process it requires

This paper speaks about how important metrics are to any organization that wants to be successful and profitable. By implementing metrics, an organization can track issues that arise and can use the data within the metrics to draft a solution before they cause major problems within the company.

The first stage is analytically impaired. This stage is the stage where the data is flawed or the systems are not integrated well. Though I was not there for this, I have heard what happened a few years ago, and still there are a few current instances, when Comcast decided to cut down on the number of databases and included them all in one area. This was not executed well, since employees were still using the older data sources to run their analyses with. This left their analyses to be incorrect because the data they were using from the data systems were incorrect.

Using an example from your organization (current, past, future, hypothetical, or other) provide a brief description of an organization and business scenario where you could use analytics to solve a business problem.

In an uber globalized market of today, companies are faced with challenges in each and every step of their business. Our analytics and research services are geared towards giving those companies that extra edge over the competition. We process and analyze terabytes of data and break down all the fuzz and chatter around it to give our customers meaningful insights about their competition and the market they are engaged in.

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.

Part 2. How Business Analytics can be used to gain advantage in a competitive marketplace