Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty Seyed Mohammad Seyed Hosseini *‚ Anahita Maleki‚ Mohammad Reza Gholamian Industrial Engineering Department‚ Iran University of Science and Technology‚ Tehran‚ Iran a r t i c l e i n f o a b s t r a c t Data mining (DM) methodology has a tremendous contribution for researchers to extract the hidden knowledge and information which have been inherited in the data used by researchers. This
Premium Marketing Customer relationship management
Why effective copywriting service is needed for small businesses? In today’s competitive global world‚ doing business is not easy. Getting profit from your existing business is more difficult. Today’s customers are much updated; they always get connected to the global via internet. So‚ they have much awareness about the product. They can easily compare your offerings including price‚ quality and brand reputation to your competitors. So‚ customers make lots of analysis before buying a product. Copywriting
Premium Small business Business Marketing
Abstract Data mining is one of the most important tools for analyzing information from large databases. The retail industry has recently seen the growing number of data mining applications in reducing time and cost for the industry. The paper defines data mining and the seven operations of data mining that have been classified through many different literatures. It then focus on the important applications of data mining in retail industry including marketing‚ customer relationship management‚ risk
Premium
Benefits of Fleet Management Data Integration NAME DBM 502 University of Phoenix Benefits of Fleet Management Data Integration Abstract Huffman Trucking maintains extensive vehicle fleet maintenance logs‚ with data on vehicles‚ parts‚ tires‚ maintenance‚ warranty‚ costs and dates of service. Management wants to know whether it would be strategically advisable to integrate this information into their current data warehouse and how to leverage it. Investigation shows that there could be significant
Premium Data management Data analysis Data
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
Premium Prediction Correlation and dependence Pearson product-moment correlation coefficient
Machinery 2001 71 33 2002 52 19 2003 52 21 2004 57 26 2005 48 23 2006 62 25 Causes of fatal Accidents due to Machinery‚non coal Mines in 2005 Transport machinery(winding)- nil Transport machinery(other than winding) 1. Rope haulage – nil 2. Conveyors - 01 3. Dumpers - 11 4. Truck & Tanker - 01 Continue Other Machinery Drill‚Shovel‚Crane - nil Crushing Plant - 2 Tractors‚ wire-saw machine – nil Others
Premium Water Water pollution Coal
Environmental studies assignment Ques 1: Mining Mining is the extraction of valuable minerals or other geological materials from the earth. Ores recovered by mining include metals‚ coal‚ oil shale‚ gemstones‚ limestone‚ dimension stone‚ rock salt‚ potash‚ gravel‚ and clay. Mining is required to obtain any material that cannot be grown through agricultural processes‚ or created artificiallyin a laboratory or factory. Mining in a wider sense includes extraction of any non-renewable resource such as petroleum
Premium Mining Water
Introduction: Recently‚ research in Human Resource (HR) activities that are embedded with Data Mining Techniques can solve unstructured and indistinct decision making problems. Human Resource Management (HRM) activities can facilitate to take fair and consistent decisions‚ and to improve the effectiveness of decision-making processes. Besides the challenges for HR Professionals to manage the organizational decisions and talents‚ especially they have to ensure that the selection of a right
Premium Human resource management Human resources
Support Spatial Data Mining Gennady Andrienko and Natalia Andrienko GMD - German National Research Center for Information Technology Schloss Birlinghoven‚ Sankt-Augustin‚ D-53754 Germany gennady.andrienko@gmd.de http://allanon.gmd.de/and/ Abstract. Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data‚ analysis by means of data mining can be aptly complemented by visual exploration of the data presented on
Premium Data mining
1. MINING INDUSTRIES IN THE PHILIPPINES: * Luis Gonzales Jr. Mining * Goldenboys ‚Inc. * Steelfab Water Solutions Asia Inc. * Fil Edward Rey A. Manila * Mg-gelber Trading Co. * Sytenco Philippines Corporation * Maricalum Mining Corporation * Tangshan Relia Industrial Pump. Co.‚Itd Maricalum Mining Corporation (MMC) in south Negros. Having 2‚673 claims on mining in Barangays Cansauro‚ Hinablan‚ Tao-angan and Hinablan‚ of the towns of Cauayan and Sipalay‚ Negros Occidental
Premium Philippines Government Provinces of the Philippines