Business Intelligence Is A Vital Part Of Keeping An Organization Competitive

To begin with, Dell software an information technology enterprises describes Data Mining as “an analytic process designed to explore data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the

1) Data mining is a way for companies to develop business intelligence from their data to gain a better understanding of their customers and operations and to solve complex organizational problems.

Data mining simply explained is automated sorting and analyzing of large amounts of data, searching for patterns and correlations. On a

Business intelligence (BI) is defined as the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI has been around long before computers and access to the internet. For example, an old ship building yard would have to keep track of its various transactions, employees, profit, suppliers, materials, etc. The shipyard owner would then turn this collected raw data into useful information in order to figure out where the company is going wrong and where it can improve. If the suppliers have not shipped on time for weeks the shipyard would know to find more reliable suppliers - this is a very simple example of utilizing business intelligence. In

Business intelligence (BI) is a technology-based procedure for analysing data and giving decision based information to help corporate executives, business managers and other end users make more informed business decisions. BI comprises a variety of tools, applications and methodologies that enable organizations to collect data from different sources such as internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, analytic dashboards and data visualizations to make the analytical results available to corporate decision makers as well as operational workers. Simply put, Business Intelligence is technology process that assists in the conversion of raw data into meaningful information. It helps you analyse the past and come up with the strategy to improve the future. When organizations carry out their day- to -day operation, raw data is generated and mostly stored in a database .This data needs to be analysed and meaningful information extracted from it. Based on this output, come up with future strategy that will grow the company. Making future decisions directly from raw data is impossible as a result there is need for the data to be converted into meaningful data. Management makes use of this information to take fact based decision that will result to a better future. The data used for Business Intelligence analysis comes from OLTP (Online transaction processing).These are daily transaction that takes place

All great organizations share one thing in common, the use of business intelligence. Business intelligence (BI) provides tools that revolutionize the way organizations manage business and decision-making. It allows them to transform mass amounts of raw data into reliable information necessary to make important business decisions. BI delivers relevant and reliable information to those who seek it with the goal of achieving better decisions faster. An employee is independently able to navigate through a company’s data and find what he or she needs without relying on others. This means an organization no longer needs to dig through compiled webs of linked spreadsheets, analyze the data manually and mash together reports. Instead, employees can use BI systems to request the specific information that is useful for them (Hitachi Solutions Canada, 2014). BI allows managers to reach the most accurate and contemporaneous information an organization’s database cannot retrieve. The software offers applications for both data analysis and presentation of results. Applications such as data mining and decision support systems allow one to contemplate how he or she wants to analyze the data. Data mining refers to the process of searching for valuable business information in a large database, data warehouse, or data mart. Decision support systems combine models and data in an attempt to analyze semi structured and some unstructured problems with

Business intelligence first got introduced to the business world through ‘Data Mining’. Initially, data mining was a concept alien to the business world. But in late eighties, the business community started to find great utility in its practice. Businesses discovered that the data mining process could be employed to predict solutions to complex business problems.

The overall goal of the data mining process is to extract information from data sets and transform it into an understandable structure such as patterns and knowledge for further use [3].

Data mining is the process through which previously unknown patterns in data were discovered. Another definition would be “a process that uses statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases.” This includes most types of automated data analysis. A third definition: Data mining is the process of finding mathematical patterns from (usually) large sets of data; these can be rules, affinities, correlations, trends, or prediction models.

From my understanding, data mining is a series of operation to dig up a value-added process from a bunch of data in the form of knowledge that is not known for manually. Knowledge discovery in database is a term that we called for data mining in science computer. Data mining also about to find a new information in a lot of data. Not only that, data mining is searching for patterns or relationships in one or more databases and it way to generate new information. Besides that, for secondary use, the information collected for one purposed used for another purpose and the information about customers is a valuable commodity. But, does we know how the data mining is work?

Data mining will have a different effect on different industries in the business world. In the telecommunications industry, for example, in order to retain

Data mining is the procedure of getting new patterns from large amount of data. Data mining is a procedure of finding of beneficial information and patterns from huge data. It is also called as knowledge discovery method, knowledge mining from data, knowledge extraction or data/ pattern analysis. The main goal from data mining is to get patterns that were already unknown. The useful of these patterns are found they can be used to make certain decisions for development of their businesses. Data mining aims to discover implicit, already unknown, and potentially useful information that is embedded in data.

Data mining is finding the routines and examples in large databases to guide choices about future exercises. It is normal that data mining tools to get the model with negligible information from the client to identify. Data mining is the utilization of automated data analysis techniques to discover already undetected connections among data things. It regularly determines the

Data mining is the process of ‘digging-out’ patterns from data, usually through Clustering, Classification, Regression and Association rule learning. Data mining technology can generate new business opportunities by providing:

Data Mining is known as the process of analyzing data to extract interesting patterns and knowledge. Data