Data Analytics Essay

COLLABORATIVE BIG DATA ANALYTICS AND VISUALIZATION A LITERATURE REVIEW Abdulazeez Adejumo Department of Computer Systems Technology North Carolina Agricultural & Technical State University aadejumo@aggies.ncat.edu MARCH 2015 Abstract This paper discusses collaboration using big data analytics and visualization. It tries to bring to fore the advantages of collaborative analysis using visualization tools. How information visualization can enhance effective collaborative decision

The benefits of big-data analytics on business performance “Why Big-Data Is a Big Deal”. Big-data is a logo used to describe a massive volume of both structured (is information already managed by the organization in relational databases ) and unstructured data (is information that is unorganized and does not fall into a pre-determined model) that is so large it is difficult to process using traditional database and software techniques. In most companies, the volume of data is too big or it moves

of big data analytics has affected the 21st century American economy and businesses in many positive ways. One area where it is lagging, however, is the healthcare industry. For years, America has paid more for healthcare than any other country on Earth. This can be attributed to a number of reasons, but a large factor among these is the inefficiency of the current healthcare system and its failure to adapt to cost-saving analytics like other industries have. That is where big data analytics can step

The big data analytics deals with a large amount of data to work with and also the processing techniques to handle and manage large number of records with many attributes. The combination of big data and computing power with statistical analysis allows the designers to explore new behavioral data throughout the day at various websites. It represents a database that can’t be processed and managed by current data mining techniques due to large size and complexity of data. Big data analytic includes

Big Data refers to a large scale of information management that exceeds the capability of traditional data processing that measures in terms of Petabytes. Now if we think that the unit Petabyte means a few dozen of Terabytes then it will not be appropriate to measure the actual amount of the memory of Petabytes. The data and the Information is proliferating from all directions and sources which lead to Petabytes of data and more which is known as Big-Data. Big-Data includes five V’s as volume

Data analytics in audit Introduction: It is interesting to know how modern technology has helped auditors to become efficient with respect to time and resources. Not only that, auditors of late have become heavily dependent on technology for their easy and efficiency. Data analytics is defined as the process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. -Various sources Data

Big Data and Analytics systems are fast emerging as one of the most critical system in an organization’s IT environment. But with such a huge amount of data, there come many performance challenges. If Big Data systems cannot be used to make or forecast critical business decisions, or provide insights into business values hidden under huge amounts of data at the right time, then these systems lose their relevance. This article talks about some of the critical performance considerations in a technology

Abstract: The existing business paradigm of data analytics is set for a transformation. Today, companies are experimenting to replicate the “Outsourced data analytics” model to “Crowdsourced data analytics”. Companies like Kaggle, Crowdanalytix and others are hitting the headlines of top analytics blogs across the globe. The reason is that the new business model promises a drastic decrease in the cost of analytics for companies long with the flexibility to get the problem solved anytime with much

access to a tremendous amount of customer data these days. Even the free tools like Google Analytics give us incredible insights into where our traffic comes from and what people do on site. Yet, 80% of online retailers do not use their analytics sufficiently. Many don’t even track important actions like conversion rates and purchases. If one uses analytics only to measure the daily traffic, he is doing his self and his customers a disservice. Google Analytics has many ecommerce specific features which

Data analytics has drastically changed how business operate on a day-by-day basis. It can make or break a business. It involves “exploring huge volumes of data to provide greater insight and intelligence, and doing so quickly.” (Efraim Turban. Linda Volonino. Gregory R. Wood., 2013) According to the Better Business Outcomes White Paper that was published by IBM, IBM observed that the planet was becoming more instrumented, interconnected, and intelligent about five years ago. Twenty thousand engagements