Big Data, Business Intelligence, and Data Analytics in Decision Making Essay

Big Data, Business Intelligence, and Data Analytics in Decision Making - adjudicate ExampleIt resources and strategies have therefore contributed the following to the companies. It is the interest of businesses to thrive the most in terms of dominating the market sh atomic number 18 of where they aim to dispose their products. This cannot affiance place if the company does not understand some of the kinetics that it experiences over time and respond to them appropriately as a management concern. Understanding of these dynamics can lead to designing of better strategies to shelve the main competitors in the scramble for better ways of bringing a widening the market dish of the products. To shew a good understanding of the dynamics, the companies overmuch understand all the selective information related to the company so that they can make a much more informed decision. Analysis of these data can only be done with the assistance of IT go to sleepledge (Sathi, 2012). In this sen se, IT software is able to process dumb bundles of data from all types and subsequently unravel the hidden correlations and patterns associated with the data. This information will be helpful for companies to create a way of having a competitive benefit over the rivals in the business enabling them to enjoy benefits that comes with business such as effective marketing strategy as well as tax income increment for the company (Sathi, 2012). IT services such as those given by the Big Data Analytics are of paramount importance to businesses in the sense that they make it easier for business to make decisions based on material facts. IT services enable the business to make rational conclusion on some of the data that are not tapped by the conventional businesses intelligence systems that have been used to help in making business decision (Ohlhorst, 2012). Without IT assistance in the business, huge volumes of data that relates to the business can go unattended to given the fact that t raditional business intelligence analysis cannot process them so that important inferences can be drawn from them. Information such as those from Web servers, activities drawn from the social media reports, details of the mobile phone calls, information extracted from sensors, and the information from the internet click pelt (Ohlhorst, 2012). Big data and bid data analytics are able to use this unconventional data to allow business make informed choices on how to go about their businesses in terms of making steps ahead of their competitors and increasing their revenue base over time. It is thus advisable for companies that have long-term strategies in business to go the IT way in most of their activities. This is in conformity with the fact that timely information in business, more so those that are in a highly competitive landscape is an essential tool in shielding the competitors off the game (Ohlhorst, 2012) A case Study Wal-Mart Stores Wal-mart stores is one of the direct priv ate companies in the world with the highest number of employees according the report released by the fortune 500. As such, the company has to put a lot of spirited fleck in the market to keep with the standard it has set over the last years. In view of such, the company must engage the services of the Bid data to provide them with the critical information that will help them make decision regarding what strategies they should use to satisfy the demand of their customers. For example, though the services of the IT, they are able to know which grocery is liked by many