Home
 > search for

Featured Documents related to » mining models



ad
Get Free ERP Systems Comparisons Now

Find the best ERP software solution for your business!

Use the software selection tool employed by IT professionals in thousands of selection projects per year. FREE software comparisons based on your organization's unique needsquickly and easily!
Register to access your free comparison reports and more!

Country:

 Security code
Already have a TEC account? Sign in here.

Documents related to » mining models


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 MODELS: 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

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.

MINING MODELS: Mining Diamonds, Finding Gold Mining Diamonds, Finding Gold Source: SAS Document Type: Case Study Description: 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. Mining Diamonds,
5/19/2011 10:46:00 AM

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 MODELS: 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 MODELS: 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

Massive Data Requires Massive Measures
There’s a lot of “big” money to be made these days when it comes to the analysis of big data. Find out what the key components are in this special report. One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?

MINING MODELS: to perform complex data mining for fraud detection. Another factor that enhances this complexity is that the culture of most businesses is changing: the traditional data analytical process has reached beyond the common business analysis areas to get to the executive and advisory boards, as well as operative areas of the organization—potentially everyone in the organization can add and promote data analysis accordingly. Nowadays, many users are exploring and analyzing information without even knowing it.
11/5/2010 10:03:00 AM

A Visionary of Loveliness
Informix released version 2.0 of their interactive data analysis dashboard Visionary. The tool is designed for decision-makers and provides capabilities for viewing and analyzing dynamic data from a variety of sources.

MINING MODELS: the sense that data mining is used when you don t know what the right questions about the data are. Rather it enables rapid deployment of applications to satisfy the operational and strategic needs of decision makers. Applications built with Visionary, which would take months or person years to develop by more traditional means, do not impact the IT department s development backlog. To indicate the product s ease of use the company suggests that it be compared to PowerPoint, not Power Builder. The
4/20/2000

SAS Puts the “E” in “Data”
SAS Institute has applied its data mining technology to the Internet. The company released products that will help companies analyze and predict the behavior of Web surfers. The target customer is one with large volumes of enterprise data that come from a variety of sources.

MINING MODELS: all of the data mining needs in a large enterprise. The WebHound product is a high-end clickstream analysis product. It analyzes the paths taken by customers viewing a website and can both produce standard traffic reports and answer ad hoc questions about the behavior of individuals or groups. E-Discovery is a data-mining product that can integrate information about Web behavior with other information from across the enterprise. This product uses a number of data mining techniques such as collaborative
3/27/2000

Data, Data Everywhere: A Special Report on Managing Information
Data, Data Everywhere: a Special Report on Managing Information. Explore data management with sap netweaver MDM. Free white paper. The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

MINING MODELS: management services,   data mining analysis,   bi software,   business intelligence solutions,   business intelligence tools Source: SAP Learn more about SAP Readers who downloaded this white paper also read these popular documents! Extending BI’s Reach: Anticipate Outcomes, Forecast Results, and Respond Proactively Sales Process Map Best Practices for ERP Implementation Best Practices for Fixed Asset Managers Talent Management for Small and Medium-size Businesses: Steer Your Business to Handle
5/19/2010 3:20:00 PM

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 MODELS: 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

A Simplified Approach to Powerful, Flexible Data Visualization
Corda's CenterView™ enterprise performance dashboards allow users and software partners to use Corda's dashboards to create the presentation layer of analytics, and to help organizations present and achieve their business goals across the organization.

MINING MODELS: Corda s partnerships with data mining and predictive analytics vendors, giving users the ability to capitalize on both vendors strengths within a single platform. Product Challenges Corda s key challenge stems from being a new entry in the data visualization market. Being a young company suggests it has areas that require growth in order to successfully compete in the market and to ensure long-term viability. In addition, future product and company viability, and user customization are areas of growth Co
3/16/2007

How Equipment Reliability Delivers Profits
While no technology can prevent normal equipment wear or the need for maintenance, predictive analytics and the latest advances in predictive diagnostics are now helping plants to overcome their challenges by detecting impending problems early and allowing plants to take control of their operations. Download this white paper to learn how you can put these advantages to work for your organization.

MINING MODELS: Agriculture and Forestry,   Mining and Quarrying,   Manufacturing,   Electricity,   Gas,   and Water Supply,   Transport,   Storage,   and Communications Related Keywords:   predictive analytics,   enterprise asset management,   predictive diagnostics,   analytics,   what is analytics,   why analytics,   it analytics,   it asset,   maximo,   analytic,   spss,   asset management it,   asset management,   it asset management,   eam,   assetmanagement,   what is business
3/5/2012 4:20:00 PM


Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others