Write 6 pages thesis on the topic business projects involving big data. Actualization time to information is vital to extracting value from different data sources (Kuketz 2012, p. 1). Such data source

Write 6 pages thesis on the topic business projects involving big data. Actualization time to information is vital to extracting value from different data sources (Kuketz 2012, p. 1). Such data sources include identification radio frequency (RFID), mobile devices, expanding list of automated sensor technologies, and the web. All business organizations should take Big Data and its ability to create value earnestly in case they want the effective competition. However, businesses that collect more data than they can effectively manage need to focus on training and hiring skilled data scientists.

Big Data is vital if a manager wants to ensure that their business success and survival becomes a reality. Business executives can use big data to quantify and therefore achieve more precise management than ever before. Use of Big Data can enable business executives to arrive at smarter decisions and aim at effective interventions in domains that intuition and gut dominated before (McAfee & Brynjolfsson 2012, p.58). Big Data from displays more advantages than what scientists analyzed initially. Big Data reveals advantageous differences over scientist analysts in terms of velocity, variety, and volume.

Current research shows that more data now flood the internet more frequently than the last 20 years. The information frequency on the internet provides an optimum condition for companies with Big Data to display a competitive edge over its rivals (Aluya, 2014 p. 72). Such companies execute high-value marketing drives. The companies control sophisticated sales operation thus running millions of target campaigns. However, processing data becomes difficult as data volume grows, and the campaign target 10-15 million receivers. Institutions operating on big data utilize high-performance analytics hence achieving tremendous gains in the database marketing. Consequently, it enables teams to validate extra variables for massive reliability in their models. In addition, high performing analytics eliminates restrictions.