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Documents related to » bi contains information on data warehousing


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.

BI CONTAINS INFORMATION ON DATA WAREHOUSING: and ROLAP), and more. BI can be broken down into four broad fields: Multi-dimensional Analysis Tools: Tools that allow the user to look at the data from a number of different angles . These tools often use a multi-dimensional database referred to as a cube . Query tools: Tools that allow the user to issue SQL (Structured Query Language) queries against the warehouse and get a result set back. Data Mining Tools: Tools that automatically search for patterns in data. These tools are usually driven by
8/18/2002

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 technology selection and access to historical 'legacy' data are also discussed.

BI CONTAINS INFORMATION ON DATA WAREHOUSING: and a number of BI tools for the individual users. A reasonable starting point for this set would be in the range of $100,000. Costs vary greatly based on vendor selection, number of seats purchased, software maintenance fees, and many other factors. In addition, consulting services drive the cost up immensely. A full blown, large-scale data warehouse in the terabyte range with hundreds of user licenses could cost tens of millions of dollars to implement and maintain. Conclusions Data Warehousing has
8/2/2000

Halo Prism: See Your Information in a New Light


BI CONTAINS INFORMATION ON DATA WAREHOUSING:
7/16/2013 2:47:00 PM

Stockgroup Information Systems
Stockgroup includes accountability, integrity and open communication, within its set of core values, to achieve its objectives of being a financially strong and profitable business. That's why when it came time to replacing its CRM system to better manage accounts, schedules, sales forecasting, and marketing, Stockgroup selected Maximizer Enterprise as its CRM solution of choice - an easier to use system with a lower TCO.

BI CONTAINS INFORMATION ON DATA WAREHOUSING: Study Description: Stockgroup includes accountability, integrity and open communication, within its set of core values, to achieve its objectives of being a financially strong and profitable business. That s why when it came time to replacing its CRM system to better manage accounts, schedules, sales forecasting, and marketing, Stockgroup selected Maximizer Enterprise as its CRM solution of choice - an easier to use system with a lower TCO. Stockgroup Information Systems style= border-width:0px; />  
4/29/2005 9:33:00 AM

Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete
The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its implementation faster, more scalable, and better performing. The data warehouse is no longer “off limits” to the business community; self-service BI, more sophisticated types of analytics, and true experimental (data science) analyses can now be performed with ease, and an increase in productivity and agility and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture.

BI CONTAINS INFORMATION ON DATA WAREHOUSING: and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture. Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete style= border-width:0px; />   comments powered by Disqus Related Topics:   Data Warehouse Related Keywords:   data warehousing,   DWH,   DWH architecture,   Corporate Information Factory,   BI,   business intelligence,   Bi deployment,  
7/26/2013 3:40:00 PM

Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio » The TEC Blog
Kognitio Filed Under ( BI and Performance Management , Industry Observation ) by Jorge Garcia  ( see bio )   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,

BI CONTAINS INFORMATION ON DATA WAREHOUSING: analytics, big data, data bases, data warehouse, edw, in memory, Kognitio, OLAP, pablo, Roger Gaskell, wx2, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
12-12-2011

Demand-driven Manufacturing and Warehousing: Challenges and User Recommendations
Among its promising initiatives, IBS offers flexible rescheduling tools that integrate with existing manufacturing resource planning systems. Its warehousing solution also promises better use of space, and automates reception put-away, etc. However, the vendor still must navigate through some rough competitive terrain.

BI CONTAINS INFORMATION ON DATA WAREHOUSING: environments, its manufacturing capabilities revolve around planning, execution, and monitoring high volume light manufacturing and assembly operations. It lets actual demand drive the user enterprise s production, ensuring supply chain flexibility, while planning on several levels and time frames to ensure maximum agility. The system also can configure and build products to company-specific requirements to effectively plan capacity, while handling complex product structures. Demand-driven
9/9/2005

Automation for the New Data Center
Data centers are squeezed by a variety of pressures, such as power consumption, heating, ventilating, and air conditioning (HVAC) requirements, new servers, human error, patching, asset tracking, and more. On top of this, you have to keep up with dynamically changing business requirements. One of the key ways you can address these dilemmas, however, is through server consolidation using virtualization.

BI CONTAINS INFORMATION ON DATA WAREHOUSING: White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
2/5/2007 9:40:00 AM

The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

BI CONTAINS INFORMATION ON DATA WAREHOUSING: Practices for ERP Implementation Mobile Is the New Face of Engagement Big Data, Mobility, and Green IT: Innovations for Manufacturers and Distributors Tying the Shop Floor to the ERP System ERP Industry Consolidation: A New Trend or an Ongoing Process? Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return
2/3/2011 8:58:00 AM

Data Mart Calculator
Need a model to help calculate an estimate of manpower needs by role, timeline, and labor cost to build a data mart based on user-supplied variables? Here’s a calculator that provides two estimates. The first is based on using the traditional “develop by committee,” and the second on developing the same data mart at the developmental level. The model needs minimal input and can be changed to fit your needs. Find out more.

BI CONTAINS INFORMATION ON DATA WAREHOUSING: Management,   Business Intelligence (BI),   Data Mart,   Human Capital Management (HCM),   Staffing,   Project Estimating Source: Glenridge Solutions LLC Learn more about Glenridge Solutions LLC Readers who downloaded this white paper also read these popular documents! How to Use Projects to Master Asset Management Operational Intelligence: Aligning Plant and Corporate IT Mobile Is the New Face of Engagement Why the Cloud Is More than Hot Air for the Manufacturing Enterprise The Cost of Spreadsheets
5/22/2009 11:18:00 AM

Spend Data Warehouse “On Steroids”
It’s only lately that people have been questioning the value of information they’re able to garner from within “spend data” warehouses. Why can t we leverage traditional tools to give the sourcing and purchasing community what they want? To understand the limitations of traditional data-cleansing technology, and why spend data necessitates special algorithms, we need to start with the basics.

BI CONTAINS INFORMATION ON DATA WAREHOUSING: White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
4/5/2007 1:58:00 PM


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