Marketing Analytics And The Other Job Roles

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).

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

Sumangla Rathore, Avinash Panwar, Prakriti Soral (2014). Critical Factors for Successful Implementation of Business Analytics: Exploratory Findings from Select Cases. International Journal of Business Analytics and Intelligence, 2(2), 14-15.

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

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

Businesses today have access to significantly more data than any other time in history; however, most businesses are not capturing or using the data effectively. A report by the Aberdeen Group, “The Executive’s Guide to Effective Analytics,” indicates that “44 percent of executives are dissatisfied with the analytic capabilities available to them today, and that they often make critical decisions based on inaccurate or inadequate data” (Forbes, 2014). Luckily, CEO’s are beginning to recognize the need for analytics and more and more businesses are making a shift towards a data-driven business culture.

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.

Business analytics on the other hand, as defined on Wikipedia (2012, Aug 06) "refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning." It goes on to state that, "Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods." This is in contrast to business intelligence and stated above. Business intelligence answers questions such as what happened, , how often, how many, where the problem is, and what needs to happen next. Business analytics answers questions like why is this happening, what if these trends continue, what might

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.

Today, organizations want more use of their talent and experience. To help them, analytics is used to manage their business performance, processes, strategy and key

Analytics is defined, according to online-behavior.com, as the “process of obtaining an optimal or realistic decision based on existing data.” [1]. Davenport and Harris (2007), defined analytics, as the “extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.” [2]. An article titled Outsmart the Competition by Jackie Zack in Teradata Online magazine states that “analytics can help an organization optimize their business processes to make them effective as possible.” [3]. It is a proven fact that proper use of analytics can lead an organizations to success, providing them with that distinctive advantage over their competitors. In this essay, details will be provided on how analytics has helped my organization to compete in their business segment.

Analytics can also help in improving the operational efficiency of the satellites by analyzing the orbit data. Analytics can also be used to unravel various mysteries related to space. Analytics can also help in better weather forecasting which can help all three modes of transportation (air, water and earth) be more safe.

An analytics competitors do all of those things in a coordinated way, as part of the corporate strategy championed by top leadership and pushed down to decision makers at every level based on the fact that, employees are hired for their expertise with numbers or trained to recognize their importance are armed with the best evidence and the best quantitative tools. As a result, they make the best decisions: big and small, every day, over and over.