Data Analytics Essay

of the data they are collecting. EBay has used software and techniques to have an analytical culture among their employees. EBay needs to better understand the data they retrieve and to do this they use a software called Tableau. This software “provides visualization to turn large, complex data sets into intuitive, interactive pictures.” (Lampitt Online) This is making is easier for employees to visualize quality of the data and better monitor customer satisfaction. EBay also uses Data Hub, a web

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

INTRODUCTION TO DATA MINING I – CIS 508 DATE: 10/30/2015   Having data is not valuable but using data is. Analytic insights are changing the way corporates strategize and also redefining customer expectations. Analytics is the new differentiator between success and failure in the cut throat e-commerce and internet services based industry. The huge proportions of data generated from the increasing number of smart phones, the social networks and the ever more penetrating internet are automating customer

Abstract— Big data is a significant subject in modern times with the rapid advancement of new technologies for example, smartphones, pc/laptops, game consoles, that all in some way store information. Big companies require a place to not only store all the data that is coming in but to also analyze it for specific purposes and at the fastest speed manageable. There are many different providers out there who provide this service, this paper will talk about one way the company Google handles data using their

Abstract— Big data is a very important subject in modern times with the rapid advancement of new technologies for example smartphones, pc/laptops, game consoles, that all in some way gather information that is stored. Big companies are needing a place to not only store all the data that is coming in but to also analyze it for specific purposes and at the fastest speed manageable. There are many different providers out there who provide this service, this paper will talk about one way the company

Technology has transformed the way companies use data. Companies need more data to streamline their marketing campaigns and target their products for the right audience. But it isn’t just about gathering information – companies also need to be able to use this information and integrate it to their service. New data platforms have emerged from these basic needs and one of them is the data management platform (DMP). DMPs have quickly transformed the way companies gather and use information and the

1. DESCRIBE YOUR COMPANY 'S POSITION AND ABILITY TO COMPETE ON ANALYTICS. My company is an international organization that deals with pensioners’. As Pensioners, you work for fifty [50] years according to the pension reform act, and as a State staff you can retire by sixty years. Ref. Nigeria Pension Reform Act 2014. As a pension industry, it is important to be analytic in all we do. We also need the ability to use data extensively either statistical or quantitative analysis, predictive models

report that large assessment data were not aligned adequately with the daily instructions to be specifically helpful in informing classroom practice. However, in other reports, teachers said that this information obtained through systematic review of results of students’ performance was very useful. These variations in the conceptions of teachers concerning data could be explained, partly, by variations between educational contexts. Therefore, use and selection of relevant data must be put into consideration

Big Data in Oil & Gas Sector 1. Introduction Big Data in Oil and Gas industry is not something new. The industry has long dealt with huge amounts of data to make critical decisions over the period of time. For many years energy companies had invested in seismic software, data visualization and other digital tools & technologies for planning and optimization purposes. But now a day, most of the enterprises have started craving a certain desire for better execution of E&P activities. Since the crude

Data is a forever growing thing and is not looking to slow down anytime soon. With that be said, companies must be able to manage data for their day to day operations as well as for predicting future trend. Now there are many tools for managing data and extremely high cost for managing it as well. One of the costs for managing data is data security, but this paper will touch on that topic in, but not as much as other topics. Also, this paper will demonstrate various business cases to serve as testimonial