Programme – Term IV – AY 20012-13 Business Intelligence And Data Mining Group Assignment on NGO Donations Maximization Abstract The problem is associated to devising a strategy to maximize the profits from a Direct Marketing Campaign to a selected group of customers while minimizing costs . The exercise requires the use of Business Intelligence tools and techniques to build a model ‚ trained and tested on the historical data for the last year’s donation raising campaign . From this
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Paper Creating a Data Warehouse Introduction Data warehouses are the latest buzz in the business world. Not only are they used to store data for reporting and forecasting‚ but they are part of a decision support system. There are many reasons for creating and using a data warehouse. The data warehouse will support the decisions a business needs to make‚ usually on a daily basis. The data warehouse collects data‚ consolidates the data for reporting purposes. Data warehouses are accompanied
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Data Dictionary: A software module and database containing descriptions and definitions concerning the structure‚ data elements‚interrelationships‚ and other characteristics of an organization’s databases. Data Mining: A process where data in a data warehouse is identified to discover key business trends and factors. Data Modeling: A process where the relationships between data elements are identified and defined to develop data models. Data Planning: A planning and analysis function
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1 Define data mining. Why are there many different names and definitions for data mining? 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
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ASKARI DANIYAL ARSHAD 2 OUTLINE DBMS DATA MINING APPLICATIONS RELATIONSHIP 3 DATA BASE MANAGEMENT SYSTEM A complete system used for managing digital databases that allow storage of data‚ maintenance of data and searching data. 4 DATA MINING Also known as Knowledge discovery in databases (KDD). Data mining consists of techniques to find out hidden pattern or unknown information within a large amount of raw data. 5 EXAMPLE An example to make it more
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Data warehousing and OLAP Swati Vitkar Research Scholar‚ JJT University‚ Rajasthan. Abstract: Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support‚ which has increasingly become a focus of the database industry. Many commercial products and services are now available‚ and all of the principal database management system vendors now have offerings in these areas. Decision support places some rather different requirements on database technology compared
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More than Data Warehouse- An insight to Customer Information Ritu Aggrawal – agg_ritu@rediffmail.com Deepshikha Kalra -deepshikha_ishan@yahoo.co.in working with MERI affiliated to GGSIPU‚ Delhi ABSTRACT The business requirements of an enterprise are constantly changing and the changes are coming at an exponential rate. Like advances in Information Technology have helped companies to quickly match competition. As a result‚ product quality and cost are no longer significant competitive
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http://hdl.handle.net/2451/31553 Data Science and Prediction Vasant Dhar Professor‚ Stern School of Business Director‚ Center for Digital Economy Research March 29‚ 2012 Abstract The use of the term “Data Science” is becoming increasingly common along with “Big Data.” What does Data Science mean? Is there something unique about it? What skills should a “data scientist” possess to be productive in the emerging digital age characterized by a deluge of data? What are the implications for business
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2 Analyze Information Environment 3 Assess Data Quality and data quality. The steps are shown in the figure and described in the box. 5 Identify Root Causes 6 Develop Improvement Plans 4 Assess Business Impact 7 Prevent Future Data Errors 9 Implement Controls 8 Correct Current Data Errors 10 Communicate Actions and Results The Ten Steps Process—Assessing‚ Improving‚ and Creating Information and Data Quality 1. Define Business Need and Approach— Define
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do you mean by data communication? Ans: It is the exchange of data between two devices via some form of transmission medium such as wire cable. The communicating system must be part of a communication system made up of a combination of hardware and software. The effectiveness of a data communication system depends on three fundamental characteristics: delivery‚ accuracy and timeliness. 2. What is simplex? Ans: It is the mode of communication between two devices in which flow of data is unidirectional
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