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Documents related to » data mining modeling techniques


3 Key Areas to Reduce Costs with Lean Techniques
Continuous process improvement is more critical than ever for manufacturers to become lean. One key area of focus is on the flow of product from supplier to customer. Naturally, any process that impedes the smooth flow of product is a source of additional cost to the company. Download this white paper now and learn about 3 key areas to reduce costs and improve product flow from quote to cash.

DATA MINING MODELING TECHNIQUES: ERP, enterprise resource planning, Epicor, medical device manufacturer, lean techniques, process improvement, manufacturing.
1/15/2013 1:30:00 PM

Just-in-time Requirements Modeling
Requirements analysis is the process of understanding what customers need from an application. The agile development framework has transformed software requirements analysis. The agile lifecycle emphasizes iterative and evolving requirements modeling. Requirements need to be concise, focus, and completed in short release cycles. This white paper describes the agile requirements analysis concept, and the processes involved.

DATA MINING MODELING TECHNIQUES:
3/25/2010 12:50:00 PM

Contextual Workflow Modeling
Contextual Workflow Modeling.Secure Documents and Other Software System to Use In Your System for Contextual Workflow Modeling. Activity-based workflow modeling (AWM) is a common and useful modeling technique, whose fundamental drawbacks limit its effectiveness in modeling complex, highly nuanced workflows. Contextual workflow modeling, a technology invented at Macronetics, overcomes the limitations of AWM.

DATA MINING MODELING TECHNIQUES: Data Management Environment , Data Mining Environment , Data Processing Environment , Data Rich Environment , Data Sharing Environment , Data Storage Environment , Data Warehouse Environment , Data Warehousing Environment , Database Environment , Enterprise Data Environment , Environment Data Sheet , Environmental Data Access , Environmental Data Record , Environmental Data Report , Environmental Data Review , Environmental Data Sets , Environmental Data Software , Environmental Data Tool , Environmental
1/19/2006 3:17:00 PM

Business Process Modeling (BPM) Express
TEC’s BPM Express projects include a modified business process modeling (BPM) exercise that supports an accelerated evaluation and selection project.

DATA MINING MODELING TECHNIQUES:
10/26/2009 3:36:00 PM

Got Big Data? Net Big Dollars!
Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of data.

DATA MINING MODELING TECHNIQUES: Type: White Paper Description: Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of data. Got Big Data? Net Big Dollars! style= border-width:0px; />   comments powered by Disqus Rel
2/11/2013 1:26:00 PM

Data Mining and Predictive Modeling for Condition-based Maintenance
Today’s military logistics agencies must sustain diverse fleets of costly, complex, and indispensible weapon systems and platforms. Modern predictive maintenance solutions can integrate with existing IT infrastructures to collect and transmit data from various platforms to a centralized condition-based maintenance (CBM) database. Learn more about how these solutions enable better-informed decisions regarding specific maintenance actions.

DATA MINING MODELING TECHNIQUES: Data Mining and Predictive Modeling for Condition-based Maintenance Data Mining and Predictive Modeling for Condition-based Maintenance Source: SAS Document Type: Case Study Description: Today’s military logistics agencies must sustain diverse fleets of costly, complex, and indispensible weapon systems and platforms. Modern predictive maintenance solutions can integrate with existing IT infrastructures to collect and transmit data from various platforms to a centralized condition-based maintenance (CBM)
5/24/2011 1:13:00 PM

IFS Applications (version 8.0) for ERP for the Mining Industry Certification Report
IFS Applications (v. 8.0) product certification report. Assisted online evaluation of ERP solutions for the mining industry. IFS Applications (v. 8.0) is TEC Certified for online evaluation of enterprise resource planning (ERP) solutions for the mining industry in the ERP Evaluation Center. The certification seal is a valuable indicator for organizations relying on the integrity of TEC research for assistance with their software selection projects. Download this report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.

DATA MINING MODELING TECHNIQUES: IFS Applications (version 8.0) for ERP for the Mining Industry Certification Report IFS Applications (version 8.0) for ERP for the Mining Industry Certification Report Source: Technology Evaluation Centers Document Type: Certification Report Description: IFS Applications (v. 8.0) is TEC Certified for online evaluation of enterprise resource planning (ERP) solutions for the mining industry in the ERP Evaluation Center. The certification seal is a valuable indicator for organizations relying on the
8/7/2013 5:11:00 PM

Poor Data Quality Means A Waste of Money
Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe that's because the cost of data quality is hidden. That cost can be huge.

DATA MINING MODELING TECHNIQUES: Poor Data Quality Means A Waste of Money Poor Data Quality Means A Waste of Money Olin Thompson - September 23, 2003 Read Comments What Is Data Quality? When reality and the data in your system do not agree, you have a data quality problem. The system says you have 10,000 cases but you actually have 9,850. A customer s ship-to address is out of date. You have the same piece of information in two places in two applications or even two systems, but they do not agree. Many things can cause data quality
9/23/2003

EMC to Buy Data General
WALTHAM, Mass., August 9th, 1999 (Reuters) - High-end data storage leader EMC Corp. (NYSE:EMC) on Monday moved to grab a chunk of the mid-range storage business with a deal to buy Data General Corp. (NYSE:DGN) for $1.1 billion in stock, the companies said.

DATA MINING MODELING TECHNIQUES: EMC to Buy Data General EMC to Buy Data General R. Krause - August 13, 1999 Read Comments EMC to Buy Data General WALTHAM, Mass., August 9th, 1999 (Reuters) High-end data storage leader EMC Corp. (NYSE:EMC) on Monday moved to grab a chunk of the mid-range storage business with a deal to buy Data General Corp. (NYSE:DGN) for $1.1 billion in stock, the companies said. EMC, which holds a 35 percent share of the $12 billion high-end storage market, said it will lend its considerable distribution and support
8/13/1999

New Data Protection Strategies
One of the greatest challenges facing organizations is protecting corporate data. The issues that complicate data protection are compounded by increasing demand for data capacity, and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment, which impact infrastructure. IT organizations must meet these demands while maintaining flat budgets. Find out how.

DATA MINING MODELING TECHNIQUES: New Data Protection Strategies New Data Protection Strategies Source: IBM Document Type: White Paper Description: One of the greatest challenges facing organizations is protecting corporate data. The issues that complicate data protection are compounded by increasing demand for data capacity, and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment, which impact infrastructure. IT organizations must meet these demands while maintaining
4/23/2010 5:47:00 PM

2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unispere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses and a discussion of the results.

DATA MINING MODELING TECHNIQUES: 2013 Big Data Opportunities Survey 2013 Big Data Opportunities Survey Source: SAP Document Type: White Paper Description: While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unispere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested
7/5/2013 2:25:00 PM


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