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Documents related to » olap data warehouse concepts


The Data Warehouse RFP
If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good.

OLAP DATA WAREHOUSE CONCEPTS: The Data Warehouse RFP The Data Warehouse RFP Source: Baseline Consulting Document Type: White Paper Description: If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make
12/12/2005 5:10:00 PM

Simulation In The Warehouse
Simulation can remedy one time and ongoing problems in the warehouse. Learn about the technology of computer stimulation and how it can benefit senior management in the logistics, distribution, and warehousing industries. This paper will describe the benefits of simulation as an analytical tool and the industrial lessons learned from failed simulation projects.

OLAP DATA WAREHOUSE CONCEPTS: storage, catalyst, simulation, management, logistic.
4/29/2005 9:33:00 AM

How to Solve Your Warehouse Woes
Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak performance. But before any improvements can be made, they must first develop a warehouse management improvement strategy.

OLAP DATA WAREHOUSE CONCEPTS: How to Solve Your Warehouse Woes How to Solve Your Warehouse Woes Sherry Fox - February 29, 2008 Read Comments . Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak performance. Whether it’s increased global competition, more demanding customers, a tighter economy, or the rising cost of materials that’s keeping business owners awake at night, the hard truth is that if they want to remain competitive
2/29/2008

Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

OLAP DATA WAREHOUSE CONCEPTS: Logs: Data Warehouse Style Logs: Data Warehouse Style Source: LogLogic Document Type: White Paper Description: Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled
2/8/2008 1:14:00 PM

3 Big Trends in Data Visualization » The TEC Blog
users. Online analytical processing (OLAP) cubes and interactive charts, for example, enable visual analysis and interaction with the end user, but they concentrate on information that is already collected and transformed into a unique repository and specially structured for the purpose of doing analysis. End users are limited to using only this information in their visual analysis. Data mashups go beyond data visualization and analysis; they enable easy data integration from different sources, both from

OLAP DATA WAREHOUSE CONCEPTS: TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
15-12-2011

Developing a Universal Approach to Cleansing Customer and Product Data
Developing a Universal Approach to Cleansing Customer and Product Data. Find Free Proposal and Other Solutions to Define Your Acquisition In Relation 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 quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

OLAP DATA WAREHOUSE CONCEPTS: Developing a Universal Approach to Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data Source: SAP Document Type: White Paper Description: 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 quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help
6/1/2009 5:10:00 PM

Ask the Experts Question: Do Organizations Really Need a Physical Data Warehouse Structure? » The TEC Blog
hierarchies—for online analytical processing (OLAP). It seems impressive and merits further reading. •    The company does claim to support the “no data warehouse” model. Data from a number of sources can—in theory—be loaded into memory. Of course, memory requirements are proportional to the size of the data. •    Does the company support data quality and data cleansing? It seems to support data cleansing on the fly, but I think this needs some deliberation and testing. To us, this is

OLAP DATA WAREHOUSE CONCEPTS: bi, Business Intelligence, data cleansing, data collection, data warehousing, QlikView, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
22-07-2009

New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

OLAP DATA WAREHOUSE CONCEPTS: New Data Protection Strategies New Data Protection Strategies Source: IBM Document Type: White Paper Description: One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands
4/29/2010 4:10:00 PM

Amazon Debuts Redshift, a Petabyte-scale Data Warehouse in the Cloud » The TEC Blog
Amazon Debuts Redshift, a Petabyte-scale Data Warehouse in the Cloud » The TEC Blog TEC Blog     TEC Home     About TEC     Contact Us     About the Bloggers     Follow TEC on Twitter    RSS   Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection

OLAP DATA WAREHOUSE CONCEPTS: amazon, amazon redshift, analytics, aws, Business Intelligence, data warehouse, dwh, redshift, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
30-11-2012

Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

OLAP DATA WAREHOUSE CONCEPTS: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
9/9/2009 2:32:00 PM

Can You Hear Me Now: The True Role of Voice-directed Picking in Warehouse Management
Although voice-directed picking may take distributors to higher logistics levels someday, operations managers should try listening to their warehouse personnel for now. Warehouse workers are the real experts on a company's warehouse, its product, and its customer.

OLAP DATA WAREHOUSE CONCEPTS: Can You Hear Me Now: The True Role of Voice-directed Picking in Warehouse Management Can You Hear Me Now: The True Role of Voice-directed Picking in Warehouse Management René Jones - February 9, 2007 Read Comments Can You Hear Me Now: The True Role of Voice-directed Picking in Warehouse Management Ren Jones Much to my wife s dismay, television commercials intrigue me. While she wants to mute them, I want to watch them—not just for the laughs, but because they often reflect a version of reality. Who can
2/9/2007


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