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Documents related to » olap data warehouse definition

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 describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

OLAP DATA WAREHOUSE DEFINITION: of OLAP is that OLAP can only answer questions you know to ask, data mining answers questions you didn t necessarily know to ask. Data Visualization Tools: Tools that show graphical representations of data, including complex three-dimensional data pictures. The theory is that the user can see trends more effectively in this manner than when looking at complex statistical graphs. Some vendors are making progress in this area using the Virtual Reality Modeling Language (VRML). Metadata Management: Through
8/18/2002

IP Telephony: Project Definition Guide
You’ve determined the business rationale for embracing Internet protocol (IP) telephony as a strategy. Now it’s worth investing time in the project definition phase, since this will result in a clear statement of requirements that are in line with your objectives. However, how you define the project will depend on the needs of your business and your plans for convergence.

OLAP DATA WAREHOUSE DEFINITION: IP Telephony: Project Definition Guide IP Telephony: Project Definition Guide Source: Nortel Networks Document Type: White Paper Description: You’ve determined the business rationale for embracing Internet protocol (IP) telephony as a strategy. Now it’s worth investing time in the project definition phase, since this will result in a clear statement of requirements that are in line with your objectives. However, how you define the project will depend on the needs of your business and your plans for
1/22/2007 2:39:00 PM

AspenTech Searching for Definition in FY2000
Founded in 1981 as a developer of computer-aided chemical engineering software, Aspen's growth has resulted in a wide variety of applications for management and execution-level process manufacturing. Hit hard by flagging revenues, Aspen is distilling its product suite down to its most profitable elements in hopes of invigorating its business and capturing a share of the supply chain management market.

OLAP DATA WAREHOUSE DEFINITION: AspenTech Searching for Definition in FY2000 AspenTech Searching for Definition in FY2000 Steve McVey - August 1, 1999 Read Comments AspenTech Searching for Definition in FY2000 S. McVey - September 1st, 1999 Vendor Summary Founded in 1981 as a developer of computer-aided chemical engineering software, Aspen s growth has resulted in a wide variety of applications for management and execution-level process manufacturing. Aspen s product suites are targeted broadly at design, operational control, and, with
8/1/1999

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 DEFINITION: Simulation In The Warehouse Simulation In The Warehouse Source: Catalyst International Document Type: White Paper Description: 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. Simulation In The
4/29/2005 9:33:00 AM

Data-driven Design
Creating and maintaining a successful digital experience that drives business results requires the right research insight, design, technology, and ongoing optimization. Forrester conducted an online survey of 209 digital experience professionals in the US to evaluate current practices around Web site monitoring and digital experiences. Read about the adoption, benefits, and challenges of current data-driven design processes.

OLAP DATA WAREHOUSE DEFINITION: Data-driven Design Data-driven Design Source: Extractable Document Type: White Paper Description: Creating and maintaining a successful digital experience that drives business results requires the right research insight, design, technology, and ongoing optimization. Forrester conducted an online survey of 209 digital experience professionals in the US to evaluate current practices around Web site monitoring and digital experiences. Read about the adoption, benefits, and challenges of current data-driven
5/15/2012 1:00:00 PM

The Bottom Line on Bad Customer Data
You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for ineffective promotions, but if the target lists are redundant, the pitches fall on deaf ears. You can blame your customer service representatives for low satisfaction scores, but if customer data is missing, then no wonder the complaint resolution pipeline is backed up. Think it’s your customer resource management (CRM) system? Think again. It’s bad data, and it’s costing you millions. Request your copy of The Bottom Line on Bad Customer Data that delivers detailed advice from Jill Dyche, partner and co-founder of Baseline Consulting, about what you can do to address the impact of bad data on your company. The report gives you insight into how bad data is impacting your company and what you can do about it. How to identify where the bad data is and quantify its impact, and different approaches to determine the sources and causes of bad data are all offered in this paper.

OLAP DATA WAREHOUSE DEFINITION: The Bottom Line on Bad Customer Data The Bottom Line on Bad Customer Data Source: Baseline Consulting Document Type: White Paper Description: You can blame your sales people all you want, but if the lead data is bad, they’re not going to bring in business. You can blame your product managers for ineffective promotions, but if the target lists are redundant, the pitches fall on deaf ears. You can blame your customer service representatives for low satisfaction scores, but if customer data is missing,
5/25/2005 10:37:00 AM

Next-generation Data Protection for Midsized Companies
Just because your company isn’t a major corporation with hundreds of offices and thousands of employees doesn’t mean you’re not under the same pressures to maintain access to critical information. But buying the same solutions as the major players in your industry can be expensive and unnecessary. Learn about next-generation data protection and recovery options specifically for small and midsized businesses (SMBs).

OLAP DATA WAREHOUSE DEFINITION: Next-generation Data Protection for Midsized Companies Next-generation Data Protection for Midsized Companies Source: IBM Document Type: White Paper Description: Just because your company isn’t a major corporation with hundreds of offices and thousands of employees doesn’t mean you’re not under the same pressures to maintain access to critical information. But buying the same solutions as the major players in your industry can be expensive and unnecessary. Learn about next-generation data protection
4/9/2010 1:18:00 PM

Data Center Projects: System Planning
System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively transform and refine data from initial concept to final design. Learn more.

OLAP DATA WAREHOUSE DEFINITION: Data Center Projects: System Planning Data Center Projects: System Planning Source: APC by Schneider Electric Document Type: White Paper Description: System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively
12/10/2008 9:35:00 AM

Securing Data in the Cloud
When considering adopting cloud computing or software-as-a-service (SaaS), a question most potential customers ask vendors is “How secure will our data be in your hands?” Customers are right to ask this question and should closely examine any vendor’s security credentials as part of their cloud/SaaS evaluations. This document is intended to give a broad overview of one vendor’s security policies, processes, and practices.

OLAP DATA WAREHOUSE DEFINITION: Securing Data in the Cloud Securing Data in the Cloud Source: Symantec Document Type: White Paper Description: When considering adopting cloud computing or software-as-a-service (SaaS), a question most potential customers ask vendors is “How secure will our data be in your hands?” Customers are right to ask this question and should closely examine any vendor’s security credentials as part of their cloud/SaaS evaluations. This document is intended to give a broad overview of one vendor’s security
8/13/2010 11:34:00 AM

Curing the Data Integration Migraine
The potential value of centralized data integration is enormous. Once implemented, integration systems promise to deliver more accurate and higher quality data. However, for those who venture into the world of implementation, the promise rarely matches the reality. Avoiding the “data integration migraine” requires careful planning to reduce the risks associated with data relationship, transformation, and map discovery.

OLAP DATA WAREHOUSE DEFINITION: Curing the Data Integration Migraine Curing the Data Integration Migraine Source: Exeros Document Type: White Paper Description: The potential value of centralized data integration is enormous. Once implemented, integration systems promise to deliver more accurate and higher quality data. However, for those who venture into the world of implementation, the promise rarely matches the reality. Avoiding the “data integration migraine” requires careful planning to reduce the risks associated with data
10/27/2006 4:30:00 PM

IBM Cognos 8 Business Intelligence Software for use with SAP NetWeaver Business Warehouse Accelerator
As business data volumes expand, the biggest challenge for businesses is channeling reams of data into usable information that supports effective decision-making. Organizations that invest in the SAP Netweaver Business Warehouse continuously seek new ways to leverage the power of all corporate data. Learn how some companies are deploying IBM Cognos business intelligence software in the SAP NetWeaver environment.

OLAP DATA WAREHOUSE DEFINITION: IBM Cognos 8 Business Intelligence Software for use with SAP NetWeaver Business Warehouse Accelerator IBM Cognos 8 Business Intelligence Software for use with SAP NetWeaver Business Warehouse Accelerator Source: IBM Document Type: White Paper Description: As business data volumes expand, the biggest challenge for businesses is channeling reams of data into usable information that supports effective decision-making. Organizations that invest in the SAP Netweaver Business Warehouse continuously seek new
6/23/2010 10:56:00 AM