Big Dat Marketing And Sales Technology

Big data analytics can be used by company to make informed business decision by examining large amount of varied data to get customer preferences, market trends and other useful information. Company can use it to explore new revenue opportunities, improved operational efficiency, better customer service and competitive advantages over rivals.

Big data analytics is the process of analyzing large data to find useful information such as improving efficiency of business, market trends, customer’s preferences, information of competitors, and other useful business information. According to the IT Glossary, “Big Data is high-volume, high-velocity, and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.” In other words, it is an abundant array of information used to acquire insights and make business decisions.

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 describe the extremely large amounts of data that floods a business every day. For decades, big data has been a growing field, facing controversy on many levels, but as of late, it has been a major innovator in the challenge of making businesses more sustainable. Big data is often scrutinized for its over-generalization and inability to display meaningful results at times. When applied correctly, data analysis can bring earth-altering information to the table.

Big data is not as new as many people believe it to be. It is actually a concept that has been around for almost a century. It is just the “same old data marketers have always used, and it’s not all that big, and it’s something we should be embracing, not fearing” (Arthur). In 1944, Fremont Rider “predicted that the amount of data in the world would increase exponentially” (Hopp). Rider was right on target with his prediction seventy years ago. Data has grown much greater than he probably could have ever imagined back then.

Big Data is a newer term that has been introduced to the technology world. By definition, the term “Big Data” refers to large amounts of complex sets of data, their relationships and their analysis. (Electronic Privacy Info Center). It can also be defined as a “collection of data from traditional and

Big data is an extremely important topic for future developments, growth trends and similarities between certain things. From a Microsoft blog published in 2013 big data is “the process of applying serious computing power” (HowieT, 2013). Another article describes big data as data that “exceeds the processing capacity of conventional database systems” (Dumbill, 2012). Based on these definitions and many more alike, big data refers to or can be described as recorded information that exceeds capacity. As brief as this is, data can be recorded using many instruments and even through observation. This topic is interesting to research and develop as new technologies are more capable at storing and reading mass data. With technology advancements, a method that took half a day, more than ten years ago, would only take a couple of minutes using present technologies. As big data is getting more widely used more businesses and enterprises will be interested in the trends shown.

Industry is thriving to capture the flood of data present today. Every sector has millions trillions of data which is increasing with extreme velocity to be handled. Social media has been fueling up data growth exponentially. Although human race has been generating data for thousands of years but recent decade has put forward a new

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.

Big data is an emerging term which has been noticed since it influences our daily life gradually. The big data is a large concept that is vague because different people look at big data phenomenon from a different perspectives, it is not easy to make a precise definition (Moorthy, et. al., 2015). The definition of big data is a matter of debate, however, a typical reference is to the collection, management, and analysis of massive amounts of data (McNeely & Hahm, 2014).According to George et. al. (2014), big data include Internet clicks, mobile transactions, user-generated content, and social media and content from sensor networks or business transactions, such as sales queries and purchase transactions. These procedures are significant to

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

Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Big Data focus more on finding new correlations of massive of data sets not only the causation. Big data as a term maybe new, but many IT and business analysts have worked with huge amount of data in various industries for years.

Big Data embraces structured, semi-structured and unstructured information. It can be demographic or psychographic information about the customers, their opinions, product reviews etc gathered from variety of sources such as tweets, blogs, other social media content, technical devices like sensors and stream of data from mobile devices. Businesses have started using Big Data to get right information to identify right markets and right customers at the right time in order to make right strategic decisions. The Big Data market is estimated to grow to $32.1 bn by 2015 and $54.1 bn by 2017. According to the report “Be Careful or Big Data Could Bury Your Bank”, the world creates 2.5 quintillion bytes of data daily and last 2 years have contributed to almost 90% of the data which exists today. It empowers institutions to learn more, create more and do more using the data available with them.

Big Data has seen exponential growth in recent years due to the large volumes of social-networking data that is now being produced. While it may be easier for large enterprises to adopt the use of Big Data it is unclear if many small and medium sized enterprises are firstly aware of Big Data and its uses and secondly whether it will actually be beneficial to the business. The project will look at the use, or lack thereof, of Big Data in SMEs and provide a comparison when looking at larger enterprises.

Big data refers to large data sets whose size is beyond the ability of typical database software tools to capture, store, manage and analyze. Big data is used to analysis the

Big Data can be understood and defined in different ways. In simple terms, Big Data is a collection of data from several sources like: traditional and digital from inside and outside of an organization that represents a source for ongoing analysis and discovery. It is a term applied to massive quantity of data that organizations can collect from their operation and that cannot be easily managed by traditional database systems (Colorado State University-Global Campus, 2016, p.1). It’s also important to understand that Big Data can be a mix of unstructured and structured data. Dumbill (2012, para. 2) states, Big Data has become viable as cost-effective approaches have emerged to tame Big Data 's three V 's of massive data. The three V 's are: