ILP 1 Company Description The organization selected for analysis and evaluation is American Lake Credit Union. This organization is composed of two main branches, both located in Tacoma, Washington. In contrast to banks, Credit Unions are smaller organizations and are directed by members who are selected via a vote to serve in an all-volunteer board of directors for the organization (Scott, and Johnston, p.2, 2011). Specifically, this credit union was founded in 1948 and has grown since then. (C. Fitzer, personal communication April 7, 2014). For instance, although the organization is small in size through a partnership with a credit union network, it is able to provide general financial services at diverse locations
Over the past several years, the term “Big Data” has been used more frequently to help businesses make smarter and all around better decisions on a day-to-day basis. To put it literally, ‘Big Data’ is “extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations,
Navy Federal Credit Union is the world’s largest credit union that serves the military and their families. Navy Federal Credit Union is non-profit organization that offer competitive packages to their employees and customers. Navy Federal has a peer 2 peer recognition programs that encourages employees to tell their co-workers how great they are by giving them a virtual “first bump (Fortune, 2016). Navy federal dedicate their services to members, and families that serve in the military. They offer a variety of variety of packages and incentives to satisfy their employees. They promote innovation by providing onsite health benefits, family care programs, compensation programs, and community involvement.
Reference Foster Provost and Tom Fawcett. Big Data, Data Science and its Relationship to Big Data and Data-Driven Decision making,” http://online.liebertpub.com/doi/full/10.1089/big.2013.1508
• Introduction o Today, it seems as if everyone is connected through his or her own cell phone. With this they create data and information, intentionally or not using them. This information can be collected from applications, text messaging, and simple just walking around with a cell phone connected. This data may be
Big Data and Sustainability Business thrive when they have the most accurate, up-to-date, and relevant information at their disposal. This information can be used for a plethora of pertinent markers in small and large businesses, relating to accounting, investments, consumer activity, and much more. Big data is a term used to
Business Intelligence VS Business Analytics “Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore, author and consultant.
It is that time of year again, to sit back, and reflect on everything that has happened in the past year and to make predictions of what will happen in the years to come. The new job that is starting to move out of the woodworks is ‘Big Data.’ These
In economically uncertain times, many businesses and public sector organizations have come to appreciate that the key to better decisions, more effective customer or citizen engagement, sharper competitive edge, hyper efficient operations and compelling product and service development is data — and lots of it (Cameron McNaught,2010). Today the situation they face is not any shortage of that raw material. In a way that the wealth of unstructured online data alone has swollen the already torrential flow from transaction systems and demographic sources but how to turn that amorphous, vast, fast-flowing mass of “Big Data” into highly valuable insights, actions and outcomes.
Problems Firstly, the main problem is deciding which data should be selected. The data, explaining customers’ desires and needs, is important to be collected while most of the enterprises are confusing about what data they should concentrate on. A recent Gartner report (2014) stresses that 64% of firms raced to plan or launch a Big Data project, though they did not have enough professional knowledge yet. To understand what customers need through Big Data possibly turns into the core of companies’ target. The large data volumes and different varieties of data lead to data complexity.
"Such ‘Data Explosions ' has led to one of the most challenging research issues of the current Information and Communication Technology (ICT) era: how to effectively and optimally manage such large amount of data and identify new ways to analyze large amounts of data for unlocking information. The issue is also known as the ‘Big Data ' problem, which is defined as the practice of collecting complex data sets so large that it becomes difficult to analyze and interpret manually or using on-hand data management applications. From the perspective of real-world applications, the Big Data problem has also become a common phenomenon in domain of science, medicine, engineering, and commerce"
1.EXECUTIVE SUMMARY: “Predictive analytics uses technology to predict the future and influence it.”  It is predominantly being used to improve business processes, which is a great opportunity for entrepreneurs to achieve positive business outcomes . The goal of this white paper is to discuss the impact of predictive analytics in today’s world and the various concerns that come along with it. The paper addresses key research questions like what are the legal and ethical concerns that rise from predictive analytics? And where can we use predictive analytics to get positive results? We have tried to analyze the current market situation in order to answer these questions, focusing on the key areas where predictive analytics has had positive and negative impact. After intense scrutiny of the facts and details encountered by us, we have come up with some recommendations and solutions to address the issues caused by the use of predictive analytics and how their effects can be balanced by organizations.
Introduction: Big data and Analytics have become very prominent areas of study in recent years. Company revenues exceeding more than one million are found to use some or the other form of business analytics. The techniques, technologies, systems, practices, methodologies and applications help analyze the data in the organizations to make
IMPACT of big data: One piece of information may be insignificant, but billions of data points can illuminate. That’s the underlying promise of big data and analytics, which observers have been calling a revolutionary development for several years now. But it’s difficult to know where a revolution is headed while it’s still unfolding. New research from the McKinsey Global Institute
I am currently a senior at Missouri State University and my major in Finance. Finance is the management of money. People ask all of the time “What is the difference between finance and accounting?” I answer this as; finance is all about making decisions about what to do with money