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Ask the Experts: Approaches to Data Mining ERP
From one of our readers comes this question:I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new

approaches to data mining problem  the Experts: Approaches to Data Mining ERP From one of our readers comes this question : I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new aspects of ERP systems. I’ve decided to explore the reasons for using data mining techniques in ERP systems—and to look at different modules to which these techniques have been applied. I am going to prepare a framework to determine which ERP vendors use data mining techniques and whether these techniques Read More

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Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » approaches to data mining problem


Why Enterprise Application Search Is Crucial to Your ERP System
Enterprise applications become easier to use with the addition of powerful search capabilities. There is a distinction to be made, however, between stand-alone

approaches to data mining problem  There are two distinct approaches to delivering this critical search function. In short, EAS is a tool that is tightly integrated with an enterprise application, and it delivers targeted search results from within the application's knowledge base. Enterprise search is a product marketed separately from the application, and searches data both inside and outside of the application. Enterprise search is the approach taken by a number of technology vendors, including Google, which has launched its Google Read More
In-house vs. Managed Services: 4 Key Questions You Need to Ask
Installing software and patch updates can be frustrating and time-consuming for IT staff and users alike. But it's critical to update your computers regularly

approaches to data mining problem  differences between the two approaches to supporting software change management. In the software tool paradigm, your IT organization takes complete responsibility for managing the software change management process. In contrast, a managed services solution transfers much of the effort and accountability to the MSP. Answering four key questions To decide what's best for your organization, consider how each approach will impact the business value your IT organization delivers to your company. This can be Read More
Business Intelligence: A Guide for Midsize Companies
Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex

approaches to data mining problem  The Benefits of BI Approaches to Implementing BI Make Business Users Self- Sufficient BI Consumers Facilitate Analysis with a Data Warehouse What to Look for in a BI Product What to Look for in a BI Vendor Conclusion   Executive Summary Make Informed Decisions Across Your Company Furthermore, you need the ability to determine where to concentrate your efforts. You can't check every detail, yet you would like to be able to monitor your operations and focus on quickly finding and resolving potential Read More
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

approaches to data mining problem  issues occur, and the approaches available to inhibit the proliferation of these issues. We look at a subset of vendors that provide powerful and rich solutions to protect enterprise data quality. Begin at the Beginning The problem of inaccurate data often begins in application systems (the sources of data). There are simple best practices that can help limit the extent of inaccurate data. Tying data types to business entities . Data types in source databases must closely describe the business entities Read More
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

approaches to data mining problem  as well as new approaches to managing and analyzing data, such as self-service features available with certain BI applications, will force pre-existing and new data governance initiatives to adapt to new ways of handling and securing data that moves in different ways, whether inside or outside an organization’s firewalls. Any data governance initiative should be treated as a work in progress, requiring the evolving support of human and technological resources Read More
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

approaches to data mining problem  . Among other unique approaches taken by Metagenix: All employees are stockholders, and the company's financial books are open to them at all times. Sales Engineers report to Rob Klink, Vice President of Operations, instead of Sales. This eliminates conflicts of interest, between the group that is tasked with demonstrating the product to prospects, and the group tasked with actually selling the product. This practice is unusual among software vendors. Along the same lines, Quality Assurance also reports Read More
The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

approaches to data mining problem  Path to Healthy Data Governance through Data Security The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any organization. This article is devoted to providing insight and outlining the steps that will put you on the path Read More
Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online

approaches to data mining problem  Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility. Read More
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

approaches to data mining problem  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More
Linked Enterprise Data: Data at the heart of the company
The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet

approaches to data mining problem  Enterprise Data: Data at the heart of the company The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, bre Read More
How to Use Talent Supply Chain Management to Overcome Challenges in the Professional Services Market
Professional service providers are starting to apply supply chain management concepts to their strategies for hiring and retaining talent. Adapting to market

approaches to data mining problem  to Use Talent Supply Chain Management to Overcome Challenges in the Professional Services Market Professional service providers are starting to apply supply chain management concepts to their strategies for hiring and retaining talent. Adapting to market demands such as globalization and a more sophisticated client base means human resources departments need a complete and integrated process of talent management. But hiring and keeping top talent can also help you increase revenues and increase client Read More
How to Use Technology to Support the Lean Enterprise: Achieving Profitable Growth through Lean
Many competitive businesses are implementing “lean” initiatives to expose and attack waste and setting goals for continuous improvement through Six Sigma

approaches to data mining problem  to Use Technology to Support the Lean Enterprise: Achieving Profitable Growth through Lean Many competitive businesses are implementing “lean” initiatives to expose and attack waste and setting goals for continuous improvement through Six Sigma principles. Consensus is growing that technology is key for successful lean initiatives. This white paper defines addresses the impact lean initiatives have on profitability and considers the role of information technology (IT) in enabling lean initiatives. Read More
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources,

approaches to data mining problem  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More
Pay, Performance, and Productivity: How to Use Compensation to Motivate and Make a Difference
Compensation has consistently remained one of the top five job-satisfaction factors considered most important to employees. A well-designed compensation

approaches to data mining problem  Performance, and Productivity: How to Use Compensation to Motivate and Make a Difference Compensation has consistently remained one of the top five job-satisfaction factors considered most important to employees. A well-designed compensation strategy that connects rewards and performance can benefit both employers and employees. This white paper discusses some of the key factors. Read More

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