Featured Documents related to » underground coal mining methods

Mining Industry (ERP & CMMS) Evaluation Center
Define your software requirements for Mining Industry (ERP & CMMS), see how vendors measure up, and choose the best solution.

Mining Industry ERP and CMMS RFP Templates
RFP templates for Mining Industry ERP and CMMS help you establish your selection criteria faster, at lower risks and costs.

Mining Industry (ERP & CMMS) Software Evaluation Reports
The software evaluation report for Mining Industry provides extensive information about software capabilities or provided services. Covering everything in the ERP & CMMS comprehensive model, the report is invaluable toward RFI and business requirements research.

Documents related to » underground coal mining methods

The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

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6/19/2009

Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.

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3/28/2000

Mining Diamonds, Finding Gold
A man leaves his farm in search of the richest diamond mine in the world only to die penniless when, all along, unknown to him, his own land was rich with the jewels he longed to find. That’s the fable at the heart of AXA Equitable’s ongoing successful marketing program called Mining Diamonds. And the customer intelligence behind the program? SAS. Read the full story now.

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5/19/2011 10:46:00 AM

Data Mining: The Brains Behind eCRM
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.

UNDERGROUND COAL MINING METHODS:
11/6/2000

Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems
A big topic in business intelligence (BI) is the importance of “data quality”–cleaning data so that errors and inconsistencies are eliminated as much as possible. But what many users don’t realize is that this is just a part of a larger problem: How do you get the most out of business-relevant data floating around, inside and outside the organization? Discover the importance of clean data, and learn how to achieve it.

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10/4/2010 11:32:00 AM

Enterprise Resource Planning (ERP) in a Nutshell » The TEC Blog

UNDERGROUND COAL MINING METHODS: discrete, distribution, ERP, eto, mill, mining, mixed, Process, school, services, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
26-06-2009

The Shortcut Guide to Achieving Business Intelligence in Midsize Companies
This guide introduces you to the key concepts of business intelligence, including data modeling, data warehouses, online analytical processing (OLAP), and more. The author debunks many of the prevailing myths that scare small to medium businesses from investigating the use of business intelligence, and explains how the very same techniques and technologies used by massive enterprises are now available to them.

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4/19/2012 11:17:00 AM

Contemporary Business Intelligence Tools
Tools under the business intelligence (BI) umbrella combine to convert data into information, and information into decisions for action. Dashboards and scorecards are two such tools. Though often confused, they have functional difference, especially in modern BI suites.

UNDERGROUND COAL MINING METHODS: business intelligence, BI, enterprise resource planning, ERP, decision-making, regulatory compliance, supply chain management, customer resource management, online analytical processing, OLAP, data mining, digital cockpits, portals, dashboards, scorecards, key performance indicators, reporting, query.
6/28/2005

SaaS BI Tools: Better Decision Making for the Rest of Us
Conventional business intelligence (BI) tools are often not available to decision makers and are typically designed for use by trained business analysts. Learn about software-as-a-service (SaaS) BI tools designed to help non-IT people who struggle with the task of mining Microsoft Excel spreadsheets and other unstructured data sources to make sales forecasts, plan for resource utilization, or service customer accounts.

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7/8/2010 2:56:00 PM

Predictive Analytics and the Evolution of BI » The TEC Blog

UNDERGROUND COAL MINING METHODS: bi, Business Intelligence, data mining, pa, predictive analysis, predictive analytics, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
12-02-2013

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

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9/22/2009 4:27:00 PM