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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

types of statistical data  the design supports the types of queries the warehouse will be used for. This is an involved effort that requires both an understanding of the database schema to be created, and a great deal of interaction with the user community. The design is often an iterative process and it must be modified a number of times before the model can be stabilized. Great care must be taken at this stage, because once the model is populated with large amounts of data, some of which may be very difficult to recreate, the mod Read More

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 » types of statistical data


The Return on Investment of IP Telephony Management
Managing a newly deployed voice over Internet protocol (VoIP) integration project is not as easy as some IT managers believe it to be. Delivering voice traffic

types of statistical data  in combination with other types of products). Vendors in this space include Alcatel-Lucent, CA/Concord, EMC, Fluke Networks and NetQOS, among many others. Manager of managers (MoMs) also play a role in IP telephony management by pulling performance data from multiple tools and presenting that information in an integrated interface. CA, EMC, HP and Tivoli are vendors in this space. IP telephony specialty tools are made from the ground up to monitor, manage, and troubleshoot IP telephony as an application. Read More
Asset Data for Accurate Lifecycle Management
Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of inefficiencies in business processes

types of statistical data  software, asset configurations, asset types, company policies, and asset designs. The second area is a group of routine maintenance tasks designed to manage the failure mode under analysis. Aside from combinations of policies, RCM supports five different maintenance policy options, as detailed below. These make up the bulk of the content that the EAM system is installed to manage (the strategy or policy options offered within RCM are detailed in the RCM standard SAE JA1011). Predictive maintenance ( P Read More
Reducing Operational Risk of IT Service in Finance
An overview for CIOs of the provision and management of IT services at a level that addresses the risk management issues raised by the Basel Committee's New

types of statistical data  system failure as event types to be covered. Consequently, a CIO must ensure adequate tools and procedures are in place that: Provide an accurate assessment of the operational risk arising from IT system service (both internally and externally provided); Measure and report such risk in real-time (IT risk scorecard); Identify technical problems affecting service and provide information, allowing technicians to deal with problems quickly and efficiently and prioritorized by risk to the institution; Read More
Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

types of statistical data  you to define the types of information needed in the data warehouse to answer the business questions and the logical relationships between different parts of the information. It should be simple, easily understood and have no regard for the physical database, the hardware that will be used to run the system or the tools that end users will use to access it. There are two classic models used for data warehouse, Third Normal Form and dimensional or Star Schema. Third Normal Form (3NF) is a classical Read More
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

types of statistical data  Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the Read More
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

types of statistical data  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available wh Read More
IDC and Webroot Present: Securing Enterprise Environments against Spyware-Benefits of Best-of-breed Security
The threat of spyware has risen to epidemic levels for many information technology professionals trying to protect their users and network. In response, many

types of statistical data  and Webroot Present: Securing Enterprise Environments against Spyware-Benefits of Best-of-breed Security The threat of spyware has risen to epidemic levels for many information technology professionals trying to protect their users and network. In response, many security vendors are creating anti-spyware software to seek out spyware and eradicate it from the enterprise network. Webroot's Spy Sweeper Enterprise is just such a product. Read More
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

types of statistical data  new system. Two other types of application migrations are application upgrade, in which the target and source application are different versions of the same product, and application instance consolidation, in which the source and target applications are the same and the goal is to reduce costs by having fewer instances of the application to run and maintain. Migration Strategic or Tactical? Because data migration is part of a larger, strategic project, most organizations view it as a tactical challenge, Read More
Data Warehousing in the Big Data Era: Are You BIReady?
Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary

types of statistical data  Warehousing in the Big Data Era: Are You BIReady? Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become BI ready. Read More
Instead of Discounting, Back Some Value Out of Your Proposal
Last minute discounting has become so prevalent that many companies have come to depend on it as their default sales strategy. Employing a go-to-market strategy

types of statistical data  of Discounting, Back Some Value Out of Your Proposal Introduction Last minute discounting has become so prevalent that many companies have come to depend on it as their default sales strategy. Employing a go-to-market strategy of being the lowest cost provider is one thing, but dramatic, tactical discounting on every deal will erode your company's margins and leave you digging a deeper and deeper hole in which your company will ultimately bury itself. I don't want to give you the impression that Read More
Types of Project Management Communication: Part One of a Three-part Series
As with almost every business activity, the importance of communication cannot be overstated when managing projects. Examining the various phases of project

types of statistical data  the importance of all types of communication at each phase. By taking a closer look at the main phases of project management listed below, we will discuss strategies to obtain both internal and external customer satisfaction. In order to achieve this goal, it is important for the project management team to understand what the needs and expectations are of each stakeholder they communicate with, and the tools to assist and support that activity. • project kickoff • scoping and mapping • design of Read More
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

types of statistical data  and column names, and datatypes. Managing metadata makes it possible to understand relationships between data elements and assists in the mapping of source to target fields. (For more information of Metadata see Metadata Standards in the Marketplace ) Next came the creation of Extract/Transform/Load (ETL) tools, which made use of the metadata to get the information from the source systems into the data warehouse. Additional tools, which made use of SQL (Structured Query Language), were developed to Read More
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

types of statistical data  Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and Read More
Informatica PowerCenter 5 Enables Enterprise Data Integration
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data

types of statistical data  for leading e-Business data types, such as XML and clickstream, as well as substantial increases in performance and scalability . Together, these connectivity options should allow companies to integrate their disparate operations while leveraging their existing IT investments. Evidence of increased acceptance within the marketplace is shown by Informatica's Q4 2000 numbers, which show a 150% increase in revenues over the previous year. In addition, revenues for the fiscal year ending December 31, 2000 Read More

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