The Impact Of Big Data Analytics On Business Performance Essay

The analysis of big data is the process of organizing, collection, analyze and examining the large volume of data to find patterns, market trends and useful information. This analysis helps organizations to better understanding about the information within data, and helps analyst to make better

Big Data is an expansive phrase for data sets so called big, large or complex that they are very difficult to process using traditional data processing applications. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. In common usage, the term big data has largely come to refer simply to the use of predictive analytics. Big data is a set of techniques and technologies that need or require new forms of integration to expose large invisible values from large datasets that are diverse, complex, and of a massive scale. When big data is effectively and efficiently captured, processed, and analyzed, companies

What is Big Data? Big Data is the mass collection of user data by mathematical algorithms, databases, data mining, and the use of datasets that were once believed to be static and unusable. Big Data’s history goes way back “…70 years to the first attempts to quantify the growth rate in the volume of data, or what has popularly been known as the “information explosion” (Press, Gil).” Researchers had predicted the massive growth of information and how our ability to collect and store it would need to continue to grow as well.

Big data is nothing but collecting of datasets. Organizations in current world demands data to be broken down which can used to get more high effectiveness and benefit. Big data refers to the large amounts of data which collected from various devices such as mobiles, sensors and social media etc. Generally, large amount of data have been regenerating by IT industry such as satellite data, mobile devices and etc. This data is being growing rapidly day by day and it would be referred as Big Data.

In a fast paced, business ordinated technological world the overall welfare of a company is tied to the success or failure to make the tough decisions. On one instance a company’s CEO might be able to make the choices based on experience, advice, or simple gut instinct. However, this is not the only skill one needs. There is a great deal of information to be found in being able to see investments in data and analytics. These decisions are based off of big data. Big data is a catch-phrase, used to describe a massive volume of both structured and unstructured data that is too large to process using traditional database and software techniques. The volume of data is in most cases is too big, moves too fast or it exceed the processing capacity the company has. Despite these potential drawbacks, big data contains the potential to help companies by improving operations and making faster, more intelligent decisions. This can be broken into three key parts, knowledge, data, and information.

Big data is buzzword in every field of business as well as research. Organizations have found its application across various sectors from Sports to Security, from Healthcare to e-Commerce.

As stated earlier, big data is imperative for a business to succeed. More data results in more accurate analysis. More accurate analysis results in better decision making. Better decisions result in more efficient operations, cost reductions, and diminished risk. More efficient operations, cost reductions, and diminished risk result in an increase in revenue and a more engaged audience. Let’s take a look at exactly how data can help a company.

The big data phenomenon is about collecting and storing large amounts of data and running analytics application ns on these large datasets.

Businesses are struggling with the rapidly increasing volume, speed and variety of information being generated today -- what 's come to be known as big data. Companies are seeking technologies that not only help them process and manage all that data, but tap into it to develop insights about the markets they compete in as well as their own performance within those markets.In addition to the growth in importance of analytics and its prospects for the future, other central themes emerged, including the varied ways in which analytics is structured and managed within these enterprises.

Big data is anything which is too large for traditional databases to handle. They range from Terabytes of data to petabytes of data. Big data is generated from various sources, such as social media networks, oil wells, mobile phone conversations, weather data etc.

In this highly competitive business environment, businesses are constantly seeking ways to gain traction and understand what is on the minds of current customers and potential customers in order to increase business efficiency. Many companies, such as American Express have turned to business intelligence (BI) and data analytics to maintain a competitive edge over the competition.

Big Data. What is big data? As it becomes a more relevant part of the business world, this report covers how to use it, what its benefits are, and what fields it works well in.

What is big data? Big data is structured and unstructured data that is difficult to process using traditional database and software techniques. This is because of its extensive size. Big data ranges “from a few dozen terabytes to many petabytes of data in a single data set – and are constantly growing” (Hopp). A terabyte is equal to 1,024 gigabytes, while a petabyte is equal to 1,024 terabytes. A regular iPhone has 16 gigabytes, so a terabyte contains the same amount of digital storage as 64 iPhones, while a petabyte contains the same amount of digital storage as 65,536 iPhones! Structured data is in a fixed field within a record or file (usually databases or spreadsheets). Unstructured data is unorganized and hard to interpret by traditional databases or data models (like photos, webpages and emails). Structured data is a lot easier to work with and can be easily classified, so it is preferred in big data over unstructured data.

When you hear the word “big data” what it is that first comes to your mind, a straight forward answer would be huge amount of data ranging between tens or hundreds of peta bytes to few zeta bytes of data. In a way, Big Data is not just about the amount or volume of data but one way it is about deriving business value from a range of new and emerging data sources, including social media data, location data generated by smart phones and other roaming devices, public information available online and data from sensors embedded in cars, buildings and other objects — and much more besides. Another way to define big data would be a 4V model wherein Vs stand for Volume, Velocity, Variety and Veracity. The next question that pops in would be what led to this huge pile of data, well certainly days or months or years is

Big data is an extensive collection of structured and unstructured data. It is a modern day technology which is applied to store, manage and analyze data that are not possible to manage, store and analyze by using the commonly used software or tools. Since all of our daily tasks are overtaken by the modern technologies and all the businesses and organizations are using internet system to operate, the production of data has increased significantly in past