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Data Mining
Question:
Data mining refers to sifting through data to get "nuggets" of information. There was an outstanding article on this in Business Week in early 1997. Suggest you check it out. Ken
Response:
Data mining means making analyses on large amount of data, that’s about it. Charles J. Dudek schreef: – Hide quoted text — Show quoted text -> I got out of graduate school over 15 years ago, so I’m not up on all of the > latest buzzwords. When someone talks about "data mining" are they referring > to a specific technique or just the concept of making the most of the data > you collect? > Charles J. Dudek > Marketing Executive Seeking Employment > resume: http://home.earthlink.net/~cdudek/
Response:
>Data mining refers to sifting through data to get "nuggets" of information. >There was an outstanding article on this in Business Week in >early 1997. Suggest you check it out.
Byte magazine also had some articles on it. Doug Hoy Evaluation National Museum of (613)998-6863v Research P.O.Box 9724, Station T (613)990-3654f Ottawa K1G 5A3 CANADA **Opinions expressed are not necessarily shared by the NMSTC**
Response:
I got out of graduate school over 15 years ago, so I’m not up on all of the latest buzzwords. When someone talks about "data mining" are they referring to a specific technique or just the concept of making the most of the data you collect? Charles J. Dudek Marketing Executive Seeking Employment resume: http://home.earthlink.net/~cdudek/
Response:
>When someone talks about "data mining" are they referring >to a specific technique or just the concept of making the most of the data >you collect?
To get you up to speed: http://www.copywriter.co.uk/resource/macon.html covers data mining in some readable depth. John John Block Creative, marketing aware work which Freelance Copywriter talks rather than blandly bores, actively promotes your product, International and aims to be the best Welcomes Dollar and Sterling, in your market sector.
Response:
Charles, >When someone talks about "data mining" are they referring >to a specific technique or just the concept of making the most of the data >you collect?
Data mining refers to "making the most of the data". For example, a Dr. may keep a database of the different medications patients take, including manufacturer, type, etc. In another database, or in another part of the same database, the Dr. may keep information regarding the different types of problems patients have over time, regardless of their medication history. If the Dr. wanted to look for a correlation between the frequency of migraine headaches vs. different types of medication, he’d have to "mine" the database for that information. Data mining typically involves (in no particular order) managing large amounts of data; converting the data into a common format; looking for relationships; querying the data; and generating statistics. — Consultants: Grow Your Business! — Consulting over the Internet is one the newest and fastest growing segments in the Consulting Industry. Furthermore, it’s a low-risk, low cost way to both start and grow your business. You can succeed! Request a Free Report from "The (no spam guaranteed! e-mail address kept confidential)
Response:
Hello Charles, The "standardization" and new found accessibility of operational data is a well established trend sweeping the nation. It started with the evolution of SQL (standard query language) for accessing various competitive databases. By defining very clear standardized access points, IS (information systems) are becoming highly modular and scalable. You also have to keep in mind the Client-Server hardware revolution that kicked IBM real hard a few years ago. This new technology now allows individuals to develop sophisticated "real time" modeling tools for predicting sales, production runs, raw materials needs, distribution, etc. by allowing quasi immediate access to real-time operational data without having to ask the corporate programming team to write a new routine to get the information I need … etc. Fortune 500 corporations were the initial targets for these systems. The point has been reached where competition is forcing the industry to pursue the Fortune 1000 and beyond. IBM has already launched a program to pursue the less than $100MM in sales companies with turnkey solutions. What can you do with these capabilities? The possibilities are endless because the raw data is available to you on your desktop to use as you will. A number of user friendly "query" (means "to ask") are available to make it easy for the average white collar worker to ask questions. Thousands of professionals are developing tools for taking this raw data and tranforming it into useful information. The whole field of data mining and creating useful tools for transforming the raw data into useful information is wide open. Just to situate yourself into this new field, you might want to bone up on the main players in the following categories: 1. client-server technology and scalable computer systems 2. SQL based database programs (that run on the most popular client-server networks 3. enterprise software (these modular & scalable programs usually sit on one or more database programs and provide the basic operational services: accounting, human resources, production planning, marketing and sales, etc.) 4. data warehousing and data mining tools Once you get a feel for all these exploding areas of technological development, you can get a good sense of how you can use these tools to solve many difficult business problems. If you are searching for the IS hot spot for the forseeable future… this is it! Just a few comments. J.P. Solyom KS Business Development