Featured Documents related to » underground 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 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.

UNDERGROUND MINING METHODS: The Truth about Data Mining The Truth about Data Mining Anna Mallikarjunan - June 19, 2009 Read Comments A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other
6/19/2009

Ask the Experts: Approaches to Data Mining ERP » The TEC Blog
Ask the Experts: Approaches to Data Mining ERP » The TEC Blog TEC Blog TEC Home About TEC Contact Us About the Bloggers Follow TEC on Twitter RSS Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn more

UNDERGROUND MINING METHODS: Business Intelligence, business performance management, data mining, enterprise resource planning, ERP, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
08-05-2008

Top Software for Mining Companies
For your own customized comparison reports, select a category below: ERP & CMMS for Mining. EAM for Mining. Accounting Software Systems.

UNDERGROUND MINING METHODS: Top Software for Mining Companies Top Software for Mining Companies Comparing software solutions for mining companies can be difficult and time-consuming—but at TEC we make it quick and easy In just seconds, you can get free side-by-side software comparison reports. Choose from all the leading vendors—including Mincom, IFS, Microsoft, SAP, Lawson, Pronto Software, Infor, Mapcon Technologies, Bell Business Solutions, TARGIT, IBM, QlikTech International, Oracle—and many more. For your own customized
11/18/2010 9:00:00 AM

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.

UNDERGROUND MINING METHODS: Microsoft says OLE for Data Mining: Is it Bull? Microsoft says OLE for Data Mining: Is it Bull? M. Reed - March 28, 2000 Read Comments Event Summary REDMOND, Wash., March 7 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) announced the beta release of the OLE DB for Data Mining specification, a protocol based on the SQL language, that provides software vendors and application developers with an open interface to more efficiently integrate data mining tools and capabilities into line-of-business and
3/28/2000

Data Quality Strategy: A Step-by-step Approach
Success start with data quality strategy: a step-by-step approach.Read Technology Evaluation Centers (TEC) whitepapers. To realize the full benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it, and how to keep it clean. The companies that approach this issue strategically are the companies that will be successful. Learn the six factors that go into a good data quality strategy, and find out how to go from strategy to implementation.

UNDERGROUND MINING METHODS: Data Quality Strategy: A Step-by-step Approach Data Quality Strategy: A Step-by-step Approach Source: SAP Document Type: White Paper Description: To realize the full benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it, and how to keep it clean. The companies that approach this issue strategically are the companies that will be successful. Learn the six factors that go into a good data quality
1/25/2010 1:13:00 PM

Scalable Data Systems

UNDERGROUND MINING METHODS: Scalable Data Systems is one of APAC’s most experienced Microsoft Dynamics AX partners. The company manages a wide variety of implementations, from rapid fast-track projects to complex integration and development projects. Scalable has over 25 years of experience developing best-practice industry solutions and individual horizontal modules. Scalable provides dedicated industry solutions for manufacturing and supply chain/distribution, with verticals for food and beverage, chemicals, agri/animal feed, and commodity trading industries. Scalable's solutions are suitable for process, discrete, and batch (mixed-mode) manufacturing. Over the past 12 years, Scalable Data Systems has been developing solutions to compliment/enhance the Dynamics AX series in the manufacturing and supply chain/distribution, commodity procurement/trading, and mining sectors. Scalable has developed or is developing a number of solutions which also support the Dynamics AX 2012 series in the mining and mining supply sector.

Predictive Analytics; the Future of Business Intelligence
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive analytics is emerging as a distinct new software sector.

UNDERGROUND MINING METHODS: Predictive Analytics; the Future of Business Intelligence Predictive Analytics; the Future of Business Intelligence Mukhles Zaman - December 24, 2005 Read Comments Introduction The market is witnessing an unprecedented shift in business intelligence (BI), largely because of technological innovation and increasing business needs. The latest shift in the BI market is the move from traditional analytics to predictive analytics. Although predictive analytics belongs to the BI family, it is emerging as a
12/24/2005

SAS: Striving to Sustain Leadership
SAS Institute has been successful, moving beyond a business intelligence. Lately, it has lately focused on sustaining its technology leadership, expanding in some vertical markets, and becoming more attentive to the low-end market.

UNDERGROUND MINING METHODS: SAS: Striving to Sustain Leadership SAS: Striving to Sustain Leadership P.J. Jakovljevic - August 10, 2005 Read Comments SAS Profile SAS Institute is a privately-owned Cary, North Carolina-based (US) provider of business analytics, which operates through 200 offices across 100 countries in North America, Europe, Asia Pacific, Latin America, and Africa. It employs nearly 10,000 people and has recorded revenues of over $1.5 billion (USD) in 2004, which was an increase of about 14 percent over 2003. SAS
8/10/2005

From Text to Business Insight: All about Enterprise Text Analytics
Text analytics automates the extraction of business value from Web sites and social media content, from e-mail and survey responses, to regulatory filings and corporate documents. These sources and others capture information from and about customers, prospects, products, companies, and competitors in human readable form. Download this white paper for a handy guide to understanding—and profiting from—enterprise text analytics.

UNDERGROUND MINING METHODS: From Text to Business Insight: All about Enterprise Text Analytics From Text to Business Insight: All about Enterprise Text Analytics Source: SAP Document Type: White Paper Description: Text analytics automates the extraction of business value from Web sites and social media content, from e-mail and survey responses, to regulatory filings and corporate documents. These sources and others capture information from and about customers, prospects, products, companies, and competitors in human readable form.
7/6/2011 2:40:00 PM

In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence
Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.

UNDERGROUND MINING METHODS: In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence Source: IBM Document Type: White Paper Description: Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic
4/9/2010 12:27:00 PM

Yanacocha: A Model Mine in Operations and Mining Management
Achieving operational excellence is fundamental for Yanacocha, the largest gold producer in South America. In 1999, Yanacocha decided it needed an online system linking its principal management areas (operations, maintenance, logistics, finance, and human resources), in order to optimize efficiency in administering its assets. It turned to Mincom Ellipse as its corporate management system, allowing standardization of its operations worldwide.

UNDERGROUND MINING METHODS: Yanacocha: A Model Mine in Operations and Mining Management Yanacocha: A Model Mine in Operations and Mining Management Source: Mincom Document Type: Case Study Description: Achieving operational excellence is fundamental for Yanacocha, the largest gold producer in South America. In 1999, Yanacocha decided it needed an online system linking its principal management areas (operations, maintenance, logistics, finance, and human resources), in order to optimize efficiency in administering its assets. It
10/17/2006 10:17:00 AM