Vol-2 Issue-2 2016 IJARIIE-ISSN(O)-2395-4396 1794 www.ijariie.com 1207 A STUDY : DATA MINING MODELS USING BUSINESS INTELLIGENCE AND PROPOSED FIRSTHAND TECHNIQUES Harshita Shrimali 1 , Anil Saroliya 2 , Varun Sharma 3 1 Mtech Scholar, Computer Science Department, Amity University, Rajasthan, India 2 Assistant Professor, Computer Science Department, Amity University, Rajasthan, India 3 Assistant Professor, Computer Science Department, Amity University, Rajasthan, India ABSTRACT In progress circumstances of business growing principles, technology and computerization encompass shaped a enormous quantity of data and data streams so the complicatedness has ensue in the business decision making process as we see traditional databases system has no more efficient progression to diminish this complexities so analyzing all of these circumstances technology and database arises a concept of business intelligence in which we can analyze the future patterns of any product in any organization from its past data. but further more if its integrate with data warehouses ETL(extraction, transform, load) tools , OLAP(online analytical processing), data mining it can be additional valuable from past few years there is lots of integrated technologies have defined with business intelligence such as supply chain management, customer relationship management, decision support system(in both artificial intelligence and artificial neural network) ,quality management system. So these paper have discussed about which integrated approach has become the most popular with the genuine reasons basically in this paper 2009-2015 research has been surveyed so that best outcome can be taken out Keyword : - Business Intelligence, data mining, data warehouse, decision support system(DSS), online analytical processing(OLAP), extraction, transform load(ETL), supply chain management, artificial intelligence, quality management system, customer relationship management(CRM), Artificial Intelligence(AI). 1. INTRODUCTION Business Intelligence (BI) is the progression through which we can extract ,tansform,manage and analyze the big data and data streams ,basically it’s an automated mathematical model which can also be beneficial in better decision taking in confusive and alternate scenario. And through this research I tried to gather and analyze the points to find the better approach. [2][4]. 2. SINGLE APPROACHES BI refers to the capability to collect and revise huge quantity of data related to the customers who requires to analyze their future patterns (future profit) from the past data which stores in data warehouses. Data warehouse is the storage of historical data which gives an enterprise-wide business intelligence solution, various analytical OLAP data. OLAP(Online Analytical Processing) which is stored in multidimensional databases OLAP is computer processing that enables a user to easily and selectively extract and data from different points of view. Allows users to analyze database information from multiple database systems at one time. Data mining tools are used to turn data stored in the data warehouse into actionable information [5]. CRM (Customer Relationship Management) forms the focal point from where the vital insights gained about the customers using BI tools are absorbed in the entire