Data warehousing

two colleagues in two different business units: Development Operations (GIP) and the Business Analytics & Insight (GEP). Overall, it is evident that Pfizer, as a consequence of being a heavily regulated pharmaceutical industry, must use scientific data to ensure that the products we make are safe and effective. My assessment concluded that, as expected, there are many moving parts to getting a product out in the market and that Pfizer is using analytics as a competitive advantage. The assessment…

interested in is Data Mining. This is interesting to me because it can help in various areas of society. This includes the medical field, elderly care, and commerce. This is controversial because of the amount and type of personal data that is being collected. We are living in the “Big Data” era where there are many ways to collect data. It could be from your watch, phone, light bulbs or your car. Even your television collects data. I will explain and define the usage of data mining in these…

Action: Q9 Identify the reasons for agreeing the purpose, content, layout, quality standards and deadlines for the production of documents When we produce a document we need to ensure it is fit for purpose and delivered on time. For example if my hotel manager asks me to produce a poster to advertise that in 2 weeks we will host a karaoke night, I would bear in mind the following for the production of the document: - The target audience is mainly our hotel guests but we can accept some visitors…

relationships between test scores and related variables (Fitzgerald et al., 2016). The findings of the study showed that the DKT2 instrument is both reliable (alphas ≥ .70) and valid. In this context, the main researcher will use the two instruments to collect data from the participants prior to the application of the intervention and after eight weeks of applying the intervention. As a result, the…

that it allows to use very detailed processes than can give a very exact information about product, service or system that it is used for. However, on the negative side it is a long and time-consuming method as it involves gathering large amounts of data from throughout the supply chain or purchasing expensive databases. Approximately it is taking between 3 and up to 12 months for determining full results. Also, it is individual for each product, service or system, therefore it does takes a time…

2.1 The Proposed Work The objective of proposed research is to study and analyze the presence of suspicious network traffic behavior of every categorization attack instance along with normal network traffic pattern collected from modified KDDCUP99 intrusion dataset, as appeared in the form of modified dataset sizes deployed in experimental work. The methodology is enhanced with the hybrid approach, i.e. determining the evolutionary computation technique combine with supervised machine learning…

A Data Warehouse is a centrally placed storage for data collected from within and outside the organisation. The collected information is organised around key business objectives, and it is utilised during analysis and reporting. It is simply a central database with the sole purpose of analysis and reporting. On the other hand, a Data Mart is much smaller than a Data Warehouse and is applied in a functional area like say finance, where the enterprise adjudges that it would profit from business…

affordable and convenient for the previous needs of the company. It is important that the company remain mindful about its financial state because it was not a million dollar company when it first opened. Interfaces Interfaces are important in data collection and analytics because the programs that are written to help make the use of the software more efficient utilizes interfaces. These interfaces are important in technology because they utilize constraints and can only be implemented…

technique success originates from its use of Big Data analytics. Many companies and organizations have “repositories of information that are difficult to reach or understand [15].” Companies that have incorporated Big Data into their infrastructure have seen tremendous success because instead of sampling large data sets, Big Data utilizes algorithms to predict behaviors and trends. Collecting data is not anything new, but using Big Data to analyze data and make intelligent decisions is still a…

Bottom-up, data-driven model of processing 2) The second stage, pattern perception. In this stage, visual field is divided in simple patterns such as continuous contours, regions of the same color or texture. This stage is influenced and guided by the…