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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

data bases  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 are Read More...
Product Lifecycle Management (PLM)
This comprehensive product lifecycle management (PLM) knowledge base models modern product and design-related aspects of PLM for both discrete and process industries. It details product development...
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Documents related to » data bases


How One Provider's Solution Covers the Bases of Price Optimization and Management
What are the solutions that enable Zilliant's customers to gain a better understanding of their markets' price response and translate this into more profitable

data bases  Segmentation TM and Dynamic Data Aggregation TM ( DDA ). To learn more about Zilliant and its offerings, please see What if Companies Could Use Science to Align Prices to Market and Maximize Margins? and How One Vendor Parlays Price Variation into Profit Improvement Opportunities . Zilliant Precision Pricing Suite ( ZPPS ) combines proprietary pricing science with analytics and workflow automation to support the pricing process continuously throughout the four sales phases: price segmentation, price Read More...
Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization

data bases  a structured set of data against predefined reports, alerts, dashboards, analysis tools, key performance indicators (KPI), etc., to monitor and improve business processes based on upfront and established corporate strategic objectives. Furthermore, CPM creates a closed-loop process, starting with developing high-level corporate goals and predefined KPIs. It then measures actual results against the KPIs representing the comparison in a balanced scorecard. The results are reported to management through Read More...
Master Data Management: Extracting Value from Your Most Important Intangible Asset
In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe

data bases  Customer insight through customer data integration is another MDM advantage. Marketing and sales organizations, for example, often wish to segment their customer bases to create differentiated services or support activitybased costing programs, and they need accurate customer data to do so. Master data files that accurately reflect customer hierarchies, such as holding company or subsidiary relationships, make it possible to obtain and reconcile customer information quickly and so make better pricing, Read More...
Are Data Warehouses as Dead as the Dodo? (LiveDashBoard and QlikView)
If you think you have seen everything in the BI space, I’m sorry, but you may be wrong. Traditional BI solutions for large enterprises consider the data

data bases  the way we design data warehouses, and may even render them obsolete. PRELYTIS: The LiveDashBoard Solution LiveDashBoard is a BI software solution offered by PRELYTIS, a vendor headquartered in Paris (France). With customers across several types of industries (insurance and finance, health care, energy, and distribution, among others), LiveDashBoard has a solid number of users, mostly from Europe and Asia, from large companies such as Barclays , Total Petrochemicals , and Groupe Kapa Santé , to name a Read More...
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

data bases  Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you're going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for commissioning team Read More...
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

data bases  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

data bases  aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

data bases  Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Frankfurt Stock Exchange and NYSE under the symbol SAP. Read More...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

data bases  Afford Not To? Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More...
Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce

data bases  Migration Best Practices Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. Read More...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

data bases  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More...
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

data bases  Their Own Way with Data Warehousing Alliance 2000 Event Summary REDMOND, Wash., Nov. 30 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 top vendors throughout the industry have qualified for Microsoft Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture for building business intelligence and analytical applications Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

data bases  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing Read More...

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