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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 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


Predictive Analytics and the Evolution of BI
In the last couple of years, the popularity of predictive analytics offerings has increased significantly, as many companies looking to improve their existing

types of statistical data  for many more specific types of business analytics tools, such as specialized industry and line-of-business analysis tools. Predictive Analysis Is Not BI Business intelligence applications comprise another set of tools for the analysis of historical information as well, and nowadays increasingly use real-time data to perform a different type of data analysis, such as enabling reporting and dashboarding operations or enabling data analysis by the use of an online analytical processing (OLAP) engine to 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...
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...
Advancing the Art of Pricing with Science
Companies in search of a better, more precise method to determine the best prices for their products and to meet their margins, should harness statistical

types of statistical data  discretion to structure all types of deals, from quotes to orders, agreements to contracts. As a result, some deals go through with overly generous terms, while others are lost due to gross pricing misalignment. These harmful practices continue to take place despite some pricing pundits shouting blue murder (protesting) about the ingrained, casual thinking that pervades the global economy regarding pricing. Both consumers and businesspeople erroneously assume that price has everything to do with cost. 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

types of statistical data  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...
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

types of statistical data  Data Everywhere: A Special Report on Managing Information SAP NetWeaver Master Data Management (SAP NetWeaver MDM) is an enabling foundation for enterprise services and business process management. Working across heterogeneous systems at disparate locations, SAP NetWeaver Master Data Management ensures cross-system data consistency through interactive distribution. Source: SAP Resources Related to Data, Data Everywhere: A Special Report on Managing Information : Data (Wikipedia) Data, Data 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...
Never Was A Story Of More Woe Than This Of RJR And Nabisco
The complex maneuvers involved in RJR’s divestiture of Nabisco will prove simple compared to the efforts required to join Kraft and Nabisco in a way that

types of statistical data  Was A Story Of More Woe Than This Of RJR And Nabisco Never Was A Story Of More Woe Than This Of RJR And Nabisco S. McVey - August 2, 2000 Event Summary Like a farmer hurrying to gather crops before the onset of locusts, R. J. Reynolds recently sold its Nabisco food subsidiary to Philip Morris, rival and co-defendant in the Florida lawsuit. Philip Morris will merge Nabisco with Kraft Foods, its $17 billion subsidiary, and expects the combination to produce $600 million in cost-savings over the next Read More...
Customer Experience Management: The Value of Moments of Truth
Customers perceive value based on the experiences they receive—and many big-name companies have tuned into this because they’ve made a connection with customers

types of statistical data  Experience Management: The Value of Moments of Truth Customers perceive value based on the experiences they receive—and many big-name companies have tuned into this because they’ve made a connection with customers that transcends the basic functional value they offer. In this first part of a two-part series, learn how traditional customer relationship management (CRM) has often failed in this respect, and how managing customer experiences can drive your revenues. Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

types of statistical data  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses 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

types of statistical data  Goes 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 Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

types of statistical data  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. 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...

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