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Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » about data base


About Big Data
There may not be a consensus with respect to just how big

about data base  Big Data There is no general consensus with respect to how big big data is—some companies deal with data volumes in the order of terabytes or even petabytes—but not many people will disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement between repositories can have a big impact on the organization. Big Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company''s bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

about data base  a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can help reduce the negative impact that poor data quality has on a CRM objective. Read More...
Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary

about data base  costs. Rather, it is about the minimum costs for a given level of risk and performance (in other words, maximum value). So, in essence, the role of the policy designer can be defined as the formulating cost-effective asset management programs, routine activities, and one-off procedural and design changes, to maintain standards of performance through reducing the likelihood of critical failures to an acceptable level, or eliminating then. This is also the essence of modern RCM. The Data Dilemma Read More...
Six Game Changers about SaaS
For many manufacturers, implementing on-premise enterprise resource planning (ERP) systems involves delays, unexpected costs, and unsatisfying results. But over

about data base  is Plex Online | about Plex Online | ERP for Medical Device Manufacturers | ERP for Food and Beverage Processors | ERP for Aerospace | ERP for Automotive Suppliers | Plex Online for Manufacturer | Plex Systems | Plex Online SaaS ERP | Plex Online Enterprise Resource Planning | Plex''s On-demand SaaS Model | Plex Online Software as a Service | Plex Online''s Multi-tenant Architecture | TEC SaaS ERP White Paper | TEC Plex Online White Papers | TEC ERP Software Selection | ERP Planning | Best ERP Vendors | Read More...
Thinking Radically about Unstructured Data: Interview with Ron Carrière, CEO of Cirilab
Being able to manage unstructured text is no longer a “nice to have,” as companies and individual users alike have to deal with increasing amounts of

about data base  is always some discussion about how to measure the ROI of an application, especially in the area of data management. What is your take? What is the real value of an application like yours? Saving time in reaching a decision is both valuable to the individual and the enterprise. A simple speed-read function summarizes 40 pages in seconds and gives ‘corporate memory’—a knowledge tag of things that are happening. What is your favorite movie? Star Trek—I think DATA had our software in his head. Do 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

about data base  data is reference data about key entities within the organization, such as customers, products, employees, and so on. Unlike transactional data '' for example, a sales order '' master data does not change frequently and typically involves a relatively small number of key attributes. Master data management '' developing a central corporate repository of standardized information '' can be a vital contributor to business performance. Think of master data management (MDM) as a single source of truth: the home of Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

about data base  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

about data base  success. To learn more about practical and affordable data quality solutions that can scale to your growing business needs, visit http://www.MelissaData.com or call 1-800-MELISSA CASE STUDY - A Shari''s Berries Sacramento-based Shari''s Berries ships chocolate-covered strawberries nationwide via FedEx, guaranteeing on-time delivery of its perishable product line. They accept as many as 200 orders per hour during peak holiday times. Prior to deploying a data quality solution, the company relied upon their Read More...
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

about data base  we should start thinking about data management more in terms of an initiative than as an isolated product or technology. The root causes of data management issues we have identified suggest that these issues will persist owing to the nature of the data itself. So, before even considering changing the existing data management infrastructure, it might be worthwhile to go through the following checklist: Prioritize data management issues to be addressed. Focus on first and second priorities, according to Read More...
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

about data base  Integration: Creating a Trustworthy Data Foundation for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. BEGINL Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian''s master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

about data base  expertise in this area. About the Author Lyndsay Wise is a research analyst for business intelligence (BI) and performance management. She has over seven years of IT experience in business systems analysis, software selection, and implementation of enterprise applications, globally. Wise has been featured in numerous publications covering topics such as BI, data integration, enterprise performance management (EPM), and customer data integration. In addition, she has written a number of articles covering Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

about data base  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More...
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

about data base  as the density passes about 3 kW per rack average. Essentially, this is due to the need to move more air over larger distances, and due to the need for the CRAC units to consume power to stir or mix the air within the room to prevent hotspots. The electrical costs associated with row-oriented architecture are poor at very low densities, but improve dramatically at higher densities. Row-oriented design has a penalty at light density due to the need to have CRAC units assigned to every row, even when the Read More...

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