Assignment 3: Business Intelligence and Data Warehouses Student: Juan C. Lord Course: CIS11 Professor: Jodine Burchell Strayer University 8/30/2017 Business Intelligence and Data Warehouses We all know what a database and a database warehouse is but do we know the differences? Well typically, the online transaction-processing database is like a health system that keeps records of vast patients. This database is usually has one application. This type of Databases does not have analytics. A database that does perform analytics is a warehouse database. This database warehouse takes information from all the databases and analyses their information. Optimized for delivering one-time transaction the OLTP database should have time-interval response …show more content…
Most of all operational database is stored in a relational database. This optimizes the support of the inquiries transactions. For example, a watch store, each time a watch is sold,, it must be tracked on a daily. The inventory is always updating because it needs to be accounted for. The time span for an operational must be short to cover but a relational has to have longer time frame to be able to analyze and get the information required. Operational data focus on representing individual transactions rather than on the effects of the transactions over time. In turn, data analysts tend to include many data dimensions and are interested in how the data relate over those dimensions. For example, an analyst might want to know how many types of watches and different types during the past year by country, state, city, store, and customer. In that case, both place and time are part of the …show more content…
This is type of information gathering is being used by all kinds of big corporations, like the health industry, transportation, Logistics and others. This information is of great use to companies to see trends on their spending habits and even costumer contributions to the organization. Data mining example can be an Airline company, they can use data mingling to determine, things like how many costumers cancel flights, their age group and how much is the Airline Company spending to re book this eats. This information can be utilized later for Airline companies to concentrate their advertisement and budget in the correct place thus saving them money with this information. The ability to precisely gage customer response to changes in business rules is a powerful competitive advantage for any big
Operations team will be working on Holiday routes, to insure proper customers are service on days requested. Operations team has identify the long routes on the weekend has reroute routes to cut down on labor we have seen a great improvement on Saturday and Sunday branch closing time has improve as well. We will continue to work on the weekday’s routes and identify which routes needs to be improved. Management will monitor check in and check out process, to reduce time. Will continue to monitor time and attendance and provide proper disciplinary action if needed.
Business Intelligence at CKE Restaurants Nowadays, Business intelligence is becoming an essential tool for businesses to seek for strategic advantages; this is because it allows making more accurate and better decision based on current data, information and knowledge. According to Pearlson (2012), “Business intelligence is the set of technologies and practices used to analyze and understand data and to use it in making decisions about future action” (p. 345). This paper analyses case study 11-2 and provides an overview of knowledge management by answering three questions regarding CKE Restaurants’ (Hardee’s Restaurant parent company) decision to promote and distribute the Monster Thickburger based on insights derived from their business intelligence
ABB can also enter the predictive analytics market, which is according to Deloitte (2013) one of the fastest growing markets inside the Big Data analytics. Within this market, they can predict future trends based on past data and create algorithms that would help stakeholders involved not only to analyse current market state, but also receive likely future
The best way is to warehousing the technology to perform everything online and the data derive valuable insights. The insights are used to develop predictive models that further enable the growth of the organization by more precisely assessing customer needs. Increasing, the business is moving toward the deriving value from the analytics applications in real time with the help of integrated data from real time and place data warehousing
Your article Business Intelligence system evolution: A case in a health care institution is very informative and interesting. Business intelligence tools like you said are important to the healthcare industry to reduce the cost, improve quality of care, reduce waiting time, and improves the patient satisfaction. There is a lot of technologies that can overcome healthcare quality and control expenses. Business intelligence solutions are used in various healthcare industries from fiscal and active information to make correct decisions towards achieving productivity and success. The successful deployment of BI in the health industry allow health systems, hospitals, and clinical staff to make the most of the value of clinical and administrative
Even though organizations hold huge amount of data, they cannot use them effectively as they are unstructured. However new technologies are now available which enable analysis of large, complex, unstructured data. The accessibility of technology has become easy; as a result, there is massive increase in data amounts available with the entrepreneurs. The data usage depends on the ability the way it is stored, managed and then analyzing it adequately. Big data is an upcoming and emerging trend in the field of Information technology.
A great example, of using Big Data, is Wal-Mart, which is one of the biggest stores in United States. An effective way of using the Big Data is through their sophisticated process of inventory. Wal-Mart makes sure that each of their stores that she operates, and including warehouses where the product is kept and then distributed directly to the stores, to have a real time point of sale. All the sales that occur in Wal-Mart stores are registered automatically in their database, in order for the sales manager to have an exact overview of what product is sold, which if the most favorite for their customers, what is left on the stock etc. Keeping this control, through this way they know that for example: lets say that a Wal-Mart located in
Relational databases lack relationships this part discusses how relational database lacks relationships or its simplicity. The relational model has a large join table, sparsely populated rows and lots of null-checking logic makes it more complex, difficult and costly. For example, adding foreign key, and its constraints and maintenance required for the database to operate, scattered tables with nullable columns demand special checking in code, and several joins are necessary to perform one command. And finally, to perform reciprocal queries also are expensive because the database has to consider all the rows in the tables. NoSQL databases also lack relationships The method adds relationships/or to use them for connected data to most NoSQL databases such as key-value, document or column oriented is to implant an aggregates identifier inside the field belonging to another aggregate that successfully introducing foreign key.
Strategic Quality and Systems Management Report Operations Management Operations management is now the most essential part in maintaining organizational systems. Actually operations management means all the necessary activities of an organization like finance, human resource management, research, marketing etc (Elnathan, 1995). Whether it is planning, leading, organizing or controlling, they all are part of an organization’s operations management. Because of the speedy change of the business environment, internal and external factors like market position, market value, possibility etc. (Stanton, 2001).
• Operations: These are the transformation activities that change inputs into outputs that are sold to customers. Here, your operational systems create
Tracking consumers’ habits in many different aspects of their life has allowed them to gear specific products in a specific manner. The Big Data I speak of is basically new. It is the data being created by all the electronic medical records the medical industry has begun to utilize over the past few years. With the mandate from Congress every hospital in the country had to install software to utilize as electronic health
How would the platforms interact with the different stakeholders? Accordin to Freeman (1984), stakeholders are anyone that can influence or be influenced by the company’s actions. And there are two types of stakeholders, including the primary and seconday stakeholders ( Clarkson, 1995). For Starbucks, its major stakeholders include employees, customers, suppliers and stockholders. Starbucks’ performances and business strategies could also affect the general public and the society.
The purpose of Operations management within an organization is to control the production process and business operations as efficient as possible to achieving overall organizational goal (investopedia.com, 2017). Therefore operation management creates policies, processes and procedures and also use various methods and techniques to maximize profits thus achieving organizational goal. Approaches or Techniques of operation management To improve the operational performance, operation management use various techniques to improve the operational performance. Some of these approaches are: Six Sigma Lean production Queuing theory TQM In this section below some of these techniques or theory has been explained: Six Sigma: Six sigma an effective and significant process improvement theory
In a relational database management system the data access is privileged which means that the database administrator has the authority of giving access of data to some particular users which makes the data secure. 3. Easy to use: This type of database uses tables which is better and easy to create and use. Disadvantages of RDBMS: 1. Slow:
Operation management is a crucial tool which help organization to achieve its objectives. This is required for limited period of time and finances to fulfill the objectives. Benefits of safe, timely, cost effective, high quality and law abiding production Safe production is important for sustaining the skilled workforce. This gives them the peace of mind and make the most of their abilities to contribute towards the prosperity of the company.