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Documents related to » mining management


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.

MINING MANAGEMENT: 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

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.

MINING MANAGEMENT: 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

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.

MINING MANAGEMENT: products and services. Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. What is eCRM? Customer Relationship Management is an information industry term for methodologies and software that help companies manage customer relationships in a structured way. For example, an enterprise might build a database about its customers that describe relationships in sufficient detail. Ideally, the information in the
11/6/2000

Ask the Experts: Approaches to Data Mining ERP » The TEC Blog
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 about

MINING MANAGEMENT: 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

Achieving Business Intelligence in Midsize Companies
Most companies have an incredible amount of data living in transaction-based, distributed systems and databases. But these databases are often not designed to communicate with one another, allow users to explore data in unusual ways, or quickly provide high-level summaries of data. Learn how business intelligence (BI) systems can provide these and other benefits, and how to implement BI in your organization.

MINING MANAGEMENT: data analytics,   data mining data,   business intelligence system Source: IBM Learn more about IBM Readers who downloaded this white paper also read these popular documents! Sales Process Map Best Practices for ERP Implementation Better Business Outcomes with Business Analytics Fostering Employee Engagement in Your Organization Making a Smart Choice: Getting the Most out of HR Software Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise
1/26/2010 11:04:00 AM

Engineering and Environmental Simulation Software for the Mining Industry
Mine evaluation studies, including those that support mine water management or environmental compliance, are rife with challenges. The biggest: to quantitatively evaluate alternative approaches for completing projects, and to identify and manage associated risks. Models must be accurate, and yet still take uncertainty into account. Learn how a simulation tool can you help forecast the behavior of complex mining systems.

MINING MANAGEMENT: Simulation Software for the Mining Industry Engineering and Environmental Simulation Software for the Mining Industry Source: GoldSim Document Type: White Paper Description: Mine evaluation studies, including those that support mine water management or environmental compliance, are rife with challenges. The biggest: to quantitatively evaluate alternative approaches for completing projects, and to identify and manage associated risks. Models must be accurate, and yet still take uncertainty into account.
3/13/2008 9:59:00 AM

MinePoint ERP for Microsoft Dynamics AX


MINING MANAGEMENT: MinePoint ERP is built on the Microsoft Dynamics AX platform. Each module offers standard functionality made available from the Dynamics AX infrastructure, integrated with mining-specific features and functions.

Dead Heat: Corporate Buyers Gain Analysis Tools in Leading e-Procurement Products
Commerce One has partnered with Sagent Technology to add analytic tools to its enterprise e-purchasing application. Also, Ariba has partnered with Informatica to add analytic tools to its enterprise e-purchasing application.

MINING MANAGEMENT: to purchasing applications. The data-mining experts can probably predict when an employee is about to increase her rate of rogue purchases, or detect when a commodity is about to be purchased in large enough volume to warrant renegotiating the volume discount. Undoubtedly such CRM analysis will appear before the end of the year in a purchasing application near you. User Recommendations Commerce One BuySite users and Ariba Buyer users will certainly be interested in acquiring the appropriate package. For
7/20/2000

Global Integrated Solutions


MINING MANAGEMENT: Global Integrated Solutions is the Pronto Software business partner for the mining industry for companies operating primarily in Africa, Asia and the Middle East.

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.

MINING MANAGEMENT: the branch of data mining concerned with the prediction of future probabilities and trends. Predictive analytics is used to automatically analyze large amounts of data with different variables; it includes clustering, decision trees, market basket analysis, regression modeling, neural nets, genetic algorithms, text mining, hypothesis testing, decision analytics, and more. The core element of predictive analytics is the predictor, a variable that can be measured for an individual or entity to predict
12/24/2005

Using Predictive Analytics within Business Intelligence: A Primer
What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

MINING MANAGEMENT: of Predictive Analytics Data mining can be defined as an analytical tool set that searches for data patterns automatically and identifies specific patterns within large datasets across disparate organizational systems. Data mining, text mining, and Web mining are types of pattern identification. Organizations can use these forms of pattern recognition to identify customers buying patterns or the relationship between a person s financial records and their credit risk. Predictive analytics moves one step
9/11/2009


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