Analyitcs, Interfaces, and Cloud, Technology

Data analytics includes the process of the analysis after collecting, of data to determine patterns as well as all types of information. Businesses profit from this data analysis and how it has been classified.

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.

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

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

The book is all about the things that make one to be a smart consumer of cutting-edge analytics, facilitating to frame the judgement, questioning about the information and the procedure, operating to comprehend the consequences, and using them to progress results for his or her business. Even though it sounds direct, I directly acknowledged it as a deceptively single-minded set of purposes of the book. The writers planned the first half of the book about an analytics outline that entails of six stages: problem acknowledgment, evaluation of previous results, displaying, data assortment and data examination, and outcomes demonstration and action. This planned method to discerning about analytics is one of the most important notions that Davenport

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

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.

Current business and technology conditions that complicate effective application of business analytics to business intelligence and knowledge management data, and the prospects for improvement

Analytics has been used as isolated initiatives within my company. Different levels of applications of analytics is a reality. Historically, quality department has leading the way in data-driven decision process by using several statistical and quality

It’s quite common that every task that we perform, we check whether it is being executed in the expected way. Ultimately, if it’s going in a right path well and good but the actual question arises when it’s the other way. This is the point where analytics come into picture. The need for analytics is very much known to us because it can be one of the most powerful driving factors to tune the performance of an organization’s processes, strategies and uplifting revenue.

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

In the era of 2007-10 where most of the economies of the world slowed down and companies restrained themselves from making new investments there were others that were gearing up to reverse this trend. Viewing this as an opportunity lot of new companies entered into the consulting and business advisory domains. This phenomenon lead to an inception of once such company named “Analytics Quotient”. Analytics is once such field, which is not only making a mark upon the business of the companies but also changing the business trends by focusing on data utilization across functions and optimizing the available information that the company has.

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 are also subset of what has come to be called business intelligence: sets of technologies and processes that use data to understand and analyze business performance so as