Wait a second!
More handpicked essays just for you.
More handpicked essays just for you.
Technology and business intelligence
Don’t take our word for it - see why 10 million students trust us with their essay needs.
Recommended: Technology and business intelligence
Business Intelligence, Analytics, and Big Data
Figure 1 summarizes my understanding of the relationship between Business Intelligence (BI), Business Analytics (BA), and Big Data. At center of the figure is the data used by analytics to generate business intelligence so that companies can make business decisions that is based on strong foundation of data analysis.
Business Intelligence (BI)
Howard Dresner of the Garner Group introduced the term “Business Intelligence” in 1989 and defined it as, “a set of concepts and methods to improve business decision making by using fact-based support systems (Debortoli et al, 2014), thus it is an all-encompassing field that uses analytics to process big data. BI is driven by data. It includes data generation and analysis that businesses need to make an informed decision. Additionally, BI is not strictly technological, since it relies on processes and methods (Junk, 2015)
Business
…show more content…
Horton Inc. is the number one homebuilder in the USA according to the 2015 Professional Builder’s annual Housing Giants list; the list ranks the builders by revenue and includes the 277 of the country’s largest builders (2015 Housing Giants). To keep their ranking and gain more customers, D.R. Horton can employ big data to better understand future development communities, select the right homebuyer – one who is able to make the mortgage payment, empower their sales agent with real-time buyer data, and understand the housing market (O’Brien, 2014).
Summary
When you are craving for a Green Taco, sitting at the couch in your new home while you are watching Hillary Clinton’s campaign ad, remember that all could be because you browsed a couple of food website and maybe spent a minute or two watching a homebuilder show on TV. The world of business intelligence is changing as the Analytics, intelligence tools, and computing power increases. Companies should leverage these capabilities to differentiate them for the rest of their
"Home Owners Loan Corporation." Next New Deal. Roosevelt Institute, 2014. Web. 16 Mar. 2014. .
The real estate industry is thriving with approximately sixty-eight percent of all Americans being homeowners. With low interest rates, 1st time home buyer down payment assistance programs, and government funded educational opportunities (i.e. the Home Ownership Center of Greater Cincinnati), the real estate and mortgage lending industries will continue to flourish. However, there are some unethical lending practices that are threatening the housing industry as a whole.
“The housing market will get worse before it gets better” –James Wilson. The collapse of the United States housing market in in 2008 was one of the most devastating moments for the world economy. The United Sates being arguably the most important and powerful nation in the world really brought everyone down with this event. Canada was very lucky, thanks to good planning and proper preventatives to avoid what happened to the United States. There were many precursor events that occurred that showed a distinct path that led to the collapse of the housing market. People were buying house way out of their range because of low interest rates, the banks seemingly easily giving out massive loans and banks betting against the housing market. There were
The United States’ government had always had a hand on our country’s housing market. From requiring land ownership to vote, to providing public housing to impoverished families, our government had become an irremovable part of the housing market. The effects of these housing policies can affect American residents in ways they might not even recognize.
Big Data is a term used to refer to extremely large and complex data sets that have grown beyond the ability to manage and analyse them with traditional data processing tools. However, Big Data contains a lot of valuable information which if extracted successfully, it will help a lot for business, scientific research, to predict the upcoming epidemic and even determining traffic conditions in real time. Therefore, these data must be collected, organized, storage, search, sharing in a different way than usual. In this article, invite you and learn about Big Data, methods people use to exploit it and how it helps our life.
For TWR, I architected and delivered scalable robust Business Intelligence platform to perform analytics on terabytes of retail data gathered from various resources incorporating convoluted security requirements.The platform was the most extensively used application by TWR executives, sales and marketing professionals
Companies are able to become analytic competitors through various activities. One of the first steps to becoming a competitor is the widespread use of modeling and optimization. Instead of following basic statistical information, it is wise to look for ways to enhance profitability. To become successful at this, organizations use both internal and external information retrieved from outside sources for a vivid understanding of their consumers. Secondly, an enterprise approach is necessary. Through this approach, employees become proactive at finding out what items or processes are effective. A good example would be of how the article talks about UPS’s approach for assessing problems,” The UPS Customer Intelligence G...
Google analytics can be applied in big as well as small businesses to support decision-making processes. In sense, each kind of business has its own
In today’s society, technology has become more advanced than the human’s mind. Companies want to make sure that their information systems stay up-to-date with the rapidly growing technology. It is very important to senior-level executives and board of directions of companies that their systems can produce the right and best information for their company to result in a greater outcome and new organizational capabilities. Big data and data analytics are one of those important factors that contribute to a successful company and their updated software and information systems.
First of all, business intelligence analysis requires the capturing of information and storing in a single location for effective data analysis. Currently, data analysis is supported by transactional systems, business specific data marts, and other ad-hoc processes. Information is distributed making it difficult and time-consuming to access. Business teams have adapted to this environment by creating user maintained databases and manual “work-arounds” to support new types of reporting and analysis. This has resulted in inconsistent data, redundant data storage, significant resource use for maintenance, and inefficient response to changing business needs.
Friedman, Uri. “Big Data: A Short History.” foreignpolicy.com. Foreign Policy, 8 Oct. 2012. Web. 16 Mar. 2014.
The dynamics of our society bring many challenges and opportunities to the business world. Within the last decade, hundreds of jobs have emerged particularly in the technology sector to help keep up with the ever-changing world and to compete on a larger and better scale than the competition. Two key job markets and the basis of this research paper are business intelligence or BI and data mining or DM. These two fields play a very important role in small to large companies and are becoming higher desired sectors within the back offices of the workplace. This paper will explore what the meaning of BI and DM really is, how they are used and what we can expect as workers and learners of the technology and business fields for the future.
Introduction Real estate is a fixed, tangible and immovable asset in the form of houses or commercial property (Seldin & Richard 1985). Real estate market involves developing, renting, selling/purchasing and renovating of these assets (houses). Market participants include developers (contractors, engineers, and so on), facilitators (mortgage companies, real estate brokers, banks, management agents and so on), owners, renters (leasers) and renovators (Seldin & Richard 1985). Like other economic markets, real estate markets have internal and external forces that impact the market (Seldin & Richard 1985). Demand and supply forces have the major impact on the industry as they determine growth or decline in the market (Seldin & Richard 1985).
Big data is a concept that has been misunderstood therefore I will be writing this paper with the intentions of thoroughly discussing this technological concept and all its dimensions with regard to what constitutes big data and how the term came about. The rapid innovations in Information Technology have brought about the realisation of big data. The concept of big data is complex and has different connotations but I intend to clarify its functions. Big data refers to the concept of a collection of large and complex amounts of data that are found extremely difficult to notate or even process by most on-hand devices and database technologies.