The Importance Of Managing Big Data

Big data guarantee a more productive comprehension of citizens’ wants, needs, goals and cast a wide net of containing these inclinations in the trust of achieving more true democracy. In

There is at least one field that is largely underutilizing big data and big analytics. This field is small business. Small businesses provide more than half of the jobs in the U.S. (Baldwin, 2015, para. 1), and yet, many of these businesses do not take advantage of the information that big data and big analytics can provide them. There are many ways big data and analytics can increase profits for small businesses, as long as these small businesses identify the opportunities that allow big data to work for them and as long as they work through the challenges that discourage small businesses from utilizing big data and analytics. This paper will discuss these opportunities and challenges in detail.

Big Data is the act of compiling large sets of data based on a single individual or groups. Everyone encounters data in their daily life--you are experiencing it when you log onto a social media account, when you stream entertainment online, or even when you are online shopping. When you do any of these things you are leaving behind a digital trace that can be accessed by just about anyone. In “Six Provocations for Big Data,” danah boyd and Kate Crawford raise questions regarding the nature of Big Data. What is considered public information? What is the ethical way to go about retrieving data from online sources? Is Big Data more harmful or helpful? How often do you encounter Big Data, or data in general? What is the relationship between data

The hot topic around government usage of big data has been centered on meta-data crawlers. The meta-data which, as its name suggests, is data about some particular data. An easy example is of a phone call where the data is single audio file of the phone call and the meta-data is group of many attributes such as caller, recipient, call time, call duration, call location through signal triangulation etc. Since it is evident that meta-data is very large in quantity than its parent data itself, thus making it a perfect domain for government agencies to apply the big data analytics2.

Collecting consumer data is essential for the future growth of any business. This data can be used in many ways in order to allow businesses to forecast future sales of merchandise, track customer interests, reach customers in the future, and meet the needs of future customers. Not only is it essential to collect consumer data, but also it is necessary for companies to make use of that data in order to

With the growth of technology, there is a substantial growth of data by volume, variety and velocity satisfying the criteria of Big Data . Volume of data already exceeded 100 EB at the end of 1990s, reached 1.8 ZB at 2011, and we have already entered in the age of ZB. By 2020, it was forecasted that the volume of data will be 50 times bigger than the one at 2011 . Big data is used to describe the huge data sets (terabyte to Exabyte) and Big Data analytics are the techniques applied on them.

The continuous flow of data and information flooding our lives in conjunction with further increases in technology, has created a world of endless possibilities in this day and age. The impact and influences that have been created through big data will shape our lives not only today, but well into the future. This report examines the benefits of big data and the impact it has currently having in our lives as we speak. It also explores the correlation between the lack of knowledge, security and privacy issues we are facing with big data concepts and principles today, and where we will see big data systems in the future.

Managing and analyzing big data is a huge task for all organizations of all sizes and across all industries. If a business’s plan to implement a data management tools there is a need for a more realistic way of capturing information about their customers, products, and services. Mining data is often in the terabytes and organizations need to be able to quickly analyze that data and then pull appropriate information needed to make managerial decisions. Further, with the insurgence of social media, smart devices and click-stream, data is generated daily on global networks through interactions. The use of data management technologies allow a company to interface unstructured data and structured data to gleam information that is usable for business managers to make sound business decisions, improve sales and to decrease operating costs. Big data integration and analysis has evolved for organizations to store, manage, and manipulate vast amounts of data then provide the appropriate information when it’s needed to meet business objectives.

The healthcare industry historically has generated large amounts of data, driven by record keeping, compliance & regulatory requirements, and patient care. Whilemost data is stored in hard copy form, the current trend istoward rapid digitization of these large amounts of data.Driven by mandatory requirements and the potential to improve the quality of healthcare delivery meanwhile reducingthe costs, these massive quantities of data (known as ‘big data’) hold the promise of supporting a wide rangeof medical and healthcare functions, including amongothers clinical decision support, disease surveillance and population health management Reports say data from the U.S. healthcare system alone reached, in 2011, 150 exabytes. At this rate of

With today’s technology age advancing at a rapid rate, almost as fast as it takes to search something on Google, this can be both a blessing and a curse for all parties involved. Reasons behind implementing big data analytics in companies marketing strategies are changing, which really takes a toll on the marketing and business world. Marketing researchers have taken advantages of technology advances, especially concerning big data, within the past few years and their company’s success shows for it. Companies create rewards point cards and emailing lists to track purchases so that they can suggest other products to their consumers for convenience. Although this marketing strategy has seemed to work for multiple companies, consumers are calling this type of marketing research an invasion of privacy. To some consumers, they view it as a personal right to withhold all the information on what they consume. Even though the companies are still staying true to the marketing concept, some consumers only see that the ultimate motive is to only benefit the company. Although both sides are valid, one can still question whether or not big data is an ethical marketing strategy or not.

The world is changing with respect to the growth in big data and to the way in which it is used. Growth in big data brings with it many challenges, but it also presents new opportunities. Figure 1, helps understand some of the big data related activities that are taking place in the world with respect to volume of data that is being consumed by these activities over the next 5 years.

Business Intelligence (BI) incorporates a mixed bag of techniques that can help companies make better choices by dismembering "their" information. Thus, Data Analytics falls under BI. big Data, if utilized with the final objective of Analytics also falls under BI

There are many fundamental issue areas that need to be addressed in dealing with big data: data acquisition, data storage, data transfer, data management, and data processing. Each of these issues represents a large set of technical research problems and challenges in its own right.

The massive amount of data available is where the term “big” data comes from. The processing power of a typical server is not vast enough to store this data; new technologies help to ease this burden. To put into perspective how much data is out there, six billion people today have cell phones that are transmitting data. Most United States company currently store a minimum of one-hundred terabytes. It is estimated that by the year 2020, there will be forty zettabytes of data available. This is three-hundred times the amount available in twelve years ago.

In today’s world, the amount of unstructured data collected is humungous. This unstructured data is of no use if it is not properly processed, analyzed and evaluated. Using this data for the betterment of mankind is what most of the largest companies like Google, Facebook, Amazon, Netflix and much more are targeting. Big data is a term for datasets which are so large and complex that traditional database systems such as MS SQL, MySQL, etc., are incapable of handling them. It is not the amount of data that is important, but what organizations do with data that matters the most. Data can be mapped to useful information which can be further utilized for analyzing and drawing insights that lead to better management practices and strategic