how does data mining & data warehouse work in business decision making?
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Well lets say you are a mobile service provider. Then you have lots of data regarding customers like: their addresses, the services they have subscribed, their complaints, their call history. You store all this information in a data warehouse. Now if you mine all this data to extract useful information it is called data mining. What is the useful information that you can extract: You could collect all customer complaints and pool them area wise. So for example if you have many dropped calls from the south of the city then you know there is some problem there. So a business decision has to be made as to whether to install a base station in that part of the city. Or lets say you discover that many customers who take roaming also buy a lot of online games (to play on their flights!!) then it would help decision makers to target the right people for the right products.
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categorization\n\nrecord
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Bascally your data to day database (operational) is in 3NF\nyour data warehouse dose not nned to be in 3nf as you want speed and it uses a differnt query engine, whihc is tuned to the arehouse task.\n\nyou want all the avalible data to speed trhough, based upon your queries dimentions.\n\none thing i was taught was when u do data warehouseing throw out everything you learnt aboubt a normal releation database, forget normaliastion etc
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It might be tricky since you databases are usually designed to complement a company's business processes and without understanding what business processes they have it becomes quite difficult to define tables, and the data you need to capture. You can however do some research on similar companies as their business processes turn to be similar.\n\nYou can also call a company up and i am sure someone there will be willing to provide you with some information.\n\nNow does your tutor want you to design a database on an actual company or do you also have a case study. usually you can get a lot of information just from your assignment.\n\nHope this helps
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business process\nAn action taken in the course of conducting business. Whether manual or automated, all processes require input and generate output. Depending on the level of viewing and modeling, a process can be a single task or a complicated procedure such as building a product.\n\nIn a business information system, a business process is the application of a business transaction against a database (transaction vs. master). See business process modeling and information system.
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Exactly 50 words:\n\nBusiness intelligence (BI) is a broad category of application programs and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.
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The software vendors that are writing popular ERP and other large business systems have selected Oracle as the background data store that they write their software to use.\n\nFor large data collections Oracle has many attributes that are important, such as ;\nscalability, consistency, concurrency, point-in-time recovery,multi platform availability  and a forward looking adoption policy for new technology.
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Cognos DecisionStream.\nPretty good for multi-market, multi-product data analysis.\nWe use it for our national and international sales analysts for a Fortune 100 pharmaceutical company. Crunching massive multi-GB cubes.
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Database development, Data mining, System's Security, and many more
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Data Warehousing is the concept of storing the large amount transactional data in a way it can be quarried for analytical purposes. Data is the same but the way it is stored in the database is very different. It is subject oriented and dimensional in nature.
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the database + the management softwares
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In decision analysis, a "decision tree" ---- and a closely related model form, an influence diagram ---- is used as a visual and analytical decision support tool, where the expected values (or expected utility) of competing alternatives are calculated.\n\nIn operations research, and decision analysis specifically, a decision tree is an idea generation tool that generally refers to a graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. A decision tree is a decision support tool, used to identify the strategy most likely to reach a goal. Another use of trees is as a descriptive means for calculating conditional probabilities.\n\nIn data mining, on the other hand, a decision tree is a predictive model; that is, a mapping of observations about an item to conclusions about the item's target value. More descriptive names for such tree models are classification tree or reduction tree. In these tree structures, leaves represent classifications and branches represent conjunctions of features that lead to those classifications. The machine learning technique for inducing a decision tree from data is called decision tree learning, or (colloquially) decision trees.
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It means computerized database systems that give managers information for making decisions.  For example where i work we all input our time and leave requests and what we worked on in the computer.  It is an MIS.  Management can track what we spent time on and figure their costs and efficiency and stuff.  There are others but that is our biggest one.
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Data flow diagrams show you how a piece of data is moved from one process to the other and the Entity relationship diagrams show you how the tables in the database are related.\n\nThe only relationship in bet. them is when you draw the DFD to represent how the data is communicated in the tables then again ERD would suffice.\n\nThey describe two different processes.
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Both require the use of sophisticated mental activities; they often require considerable analytical skills and data upon which to employ those skills.\n\nPrediction, however, is a bit on the chancy side: in trying to predict the outcome of an event, or the expected outcome of a cluster of events (say, sequential flips of a coin or rolls of a die or deals of a hand in poker) an intelligent predictor will offer a range of probable outcomes (eg.  you can expect an average of 50 heads per hundred coin flips, with about a 95% probability that it'll be between 40 and 60).  To infer is to begin at an observation, or with a defined set of assumptions, and to use logical rules to make your way to a conclusion that is logically inescapable, and as certainly true as your assumptions and as accurate as your chain of logic: no range of outcomes here!
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Decision Tree Analysis involves methodically mapping out all the options you have for a given decision, then applying the following 'expected value' formula to each option:\n\nexpected value  = probability x outcome\n\nFor instance, let's say I'm trying to decide whether to put $100 into the stock market or to put it under my mattress.  Let's also say there is a 60% chance that my investment will become $200, and a 40% chance that my investment will shrink to $10 (I just made these numbers up).  The expected value of putting my money in the stock market is:\n\n(60% * $200) + (40% * $10) = $124\n\nSince $124 is higher than the $100 that I would get by stuffing the money in my mattress, decision tree analysis would say I should put the money in the market.\n\nDecision Tree Analysis can get very complex very quickly when you think of all the options available to a given decision.  Good luck!
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The best open-source data mining tool is definitely WEKA.\n\nIt is possible to run 50 million (1 M records x 50 attributes) attribute values in WEKA. But you have to set maximum heap size for RAM to run it.\n\nPolyanalyst is probably for user-friendly for new data miners, but if become experienced, statistical packages like MATLAB (commerical) and R (open source) are much more flexible and better.\n\nI think it is always better to use free and well-known stuff before considering paying money for commercial ones :) My bet is on WEKA if you are going to do some form of classification.