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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

data mining technique  Truth about Data Mining 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 words, data mining. Data mining has a significantly broad reach and application. Read More...
Mining Industry (ERP & CMMS)
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Documents related to » data mining technique


SYSPRO - Awaiting Positive IMPACT From Its Brand Unification
By further perfecting its mid-market value proposition and by also unifying its corporate and product brands (i.e., often conflicting IMPACT Encore product

data mining technique  as a series of data mining cubes to produce dynamic, general and enterprise specific metrics, ratios and analyses. To that end, an administrator toolset reportedly allows for the manipulation of the cube(s) to suit customer requirements without any special On-line Analytical Processing (OLAP) knowledge. The Document Flow Manager should allow an enterprise to automate business processes and build communication infrastructures that facilitate seamless collaborative commerce. Electronic business transactions Read More...
PeopleSoft Gathers Manufacturing and SCM Wherewithal Part Four: Challenges and User Recommendations
PeopleSoft manufacturing customers and J.D. Edwards customers in service industries should assess the vendor's product plans given these customers might benefit

data mining technique  need to integrate that data into a single solution. To that end, Enterprise One is the general purpose web-enabled, multi-platform (UNIX and IBM iSeries ) client/server system that is very scaleable and has strength in multi-tier plant environments. PeopleSoft's mid-market customers should demand more details from the product blueprint given that the PeopleSoft EnterpriseOne product is likely its main offering in most vertical industries. Existing users of the IBM iSeries-based PeopleSoft Enterprise World Read More...
Credit Card Fraud Detection: Advanced Analytics in Action or Pure Luck?
Have you ever wondered how credit card companies are capable of detecting purchases that a particular card holder did not make? Do these companies make use of

data mining technique  and technologies for performing data mining processes. So, data mining applications use a set of techniques to detect specific “patterns” or relations within the data, and the financial field seems to be an excellent field for the application of such technologies. Establishing data patterns requires the analysis of large amounts of information—thus, most data mining applications use the vast array of data sets provided by data warehouses. Once the data to be analyzed is selected, many algorithms can Read More...
Contextual Workflow Modeling
Activity-based workflow modeling (AWM) is a common and useful modeling technique, whose fundamental drawbacks limit its effectiveness in modeling complex

data mining technique  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 Read More...
Fundamentals of Managing the Data Center Life Cycle for Owners
Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and

data mining technique  of Managing the Data Center Life Cycle for Owners Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and o Read More...
Data Management Wish List: IT Is Open to Big Changes
Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and

data mining technique  Open to Big Changes Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape. Read More...
Selecting ERP Software for the Mining Industry
Most ERP products have been designed from repetitive manufacturing, and thus lack the powerful asset management and project management functionality that mining

data mining technique  ERP Software for the Mining Industry Most ERP products have been designed from repetitive manufacturing, and thus lack the powerful asset management and project management functionality that mining companies require. But ERP is becoming a higher priority for these organizations. This white paper offers tips on selecting ERP software for the mining industry. Learn how you can you select ERP that can handle the entire mining project and asset lifecycle. Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

data mining technique  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More...
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

data mining technique  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life Read More...
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

data mining technique  Road Map to Data Migration Success Our consultants can help you optimize your end-to-end data migration by combining our expertise with our SAP BusinessObjects software to integrate your data and improve the data’s quality, particularly when upgrading or replacing legacy systems with SAP ERP. Source: SAP Resources Related to A Road Map to Data Migration Success : Data Migration (Wikipedia) A Road Map to Data Migration Success Data Migration Project is also known as : Road Map Data Migration Success Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

data mining technique  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

data mining technique  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

data mining technique  leading causes of downtime, data loss and hardware damage: power problems and temperature. As a global leader in network-critical physical infrastructure (NCPI) solutions, APC sets the standard in its industry for quality, innovation and support. Source : APC Resources Related to Data Center Project Management : Data Center (Wikipedia) Project Management (Wikipedia) Data Center Projects: Project Management Data Center Project is also known as : Project Management , Internalize Data Centers , Data Center Read More...

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