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Documents related to » bi data mart


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

bi data mart  Managing Information Systems | BI Data Warehousing | Data Management Service | Data Management Definition | MDM Data Management | Data Storage Manager | Data Management Outsourcing | Data Management Strategies | Business Intelligence Data Integration | Data Integration | ITIL Data Management | Big Database | Data Migration | Using MDM | Data Reduction | Data Maintenance Costs | SAP Data Management | SAP Netweaver Master Data Management | SAP Netweaver MDM | SAP MDM Quick Starters | SAP Netweaver White Read More...
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

bi data mart  the data properly. The BI tools need the metadata for similar reasons. Summary: Data Warehousing is a complex field, with many vendors vying for market awareness. The complexity of the technology and the interactions between the various tools, and the high price points for the products require companies to perform careful technology evaluation before embarking on a warehousing project. However, the potential for enormous returns on investment and competitive advantage make data warehousing difficult to Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

bi data mart  primary purpose of a BI solution is to provide a business with the necessary information to support better decision making. This requires the integration of data within and external to an enterprise. A sound data quality strategy protects an enterprise from inconsistencies and anomalies that arise from the complexity of integrating multiple systems and from hidden problems that are uncovered only through sophisticated analysis techniques. Data quality solutions provide organizations with the ability to Read More...
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

bi data mart  Chain Data SCM | BI Data | BI Data Cleansing | BI Consumer Data | BI Precise Data Cleansing | BI Data Quality | BI Data Cleansing Tools | BI Data Cleansing Solutions | BI Accurate Data | BI Source Data | BI Data Warehousing | BI Data Scrubbing | BI Outsource Data Cleansing | BI Data Bureau Services | BI Data Cleansing Software | BI Data Transformation | BI Consumer Database Cleaning | BI Cleansing Data Warehouse | BI Data Cleansing Services | BI Data Discovery | BI Data Profiling | BI Data Analysis | BI Read More...
aPriori Brings BI to Product Costing
aPriori has announced the general availability of Cost Insight, a new business intelligence (BI) capability that delivers timely and actionable product cost and

bi data mart  the platform with enterprise-class BI capabilities (from Jaspersoft ) that provide intuitive reporting of cost driver data via ad hoc reporting, dashboard creation, and a production report authoring tool. Cost Insight delivers role-based insights for design, engineering, manufacturing, value-engineering, and sourcing executives and managers.   Role-based reporting of product cost data can be at the component (rollup, assembly, and part) and process/operation level. The system is Web-enabled for anytime, Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

bi data mart  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...
Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox
Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging

bi data mart  Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data 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

bi data mart  challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company''s bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

bi data mart  As a result, the probability of processing bad data increases. Ultimately, quality data is the foundation of successful CRM implementation and accurate customer intelligence. Past experience and research show that 50 to 70 percent of many CRM initiatives should be devoted to data quality. Consequently poor data quality hampers a company''s ability to realize the return from their investment in a truly integrated CRM. Data quality, therefore, should not be considered a one-time exercise. It has to be Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

bi data mart  containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements. Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

bi data mart  Customer Data Quality | BI Data Quality | BI Data Quality Analysis | BI Data Quality Articles | BI Data Quality Assessment | BI Data Quality Business Intelligence | BI Data Quality Center | BI Data Quality Control | BI Data Quality Improvement | BI Data Quality Indicator | BI Data Quality Indicators | BI Data Quality Initiatives | BI Data Quality Issues | BI Data Quality Management | BI Data Quality Measurement | BI Data Quality Measures | BI Data Quality Methodology | BI Data Quality Methods | BI Data Read More...
Master Data Management: Extracting Value from Your Most Important Intangible Asset
In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe

bi data mart  MDM SOA | MDM BI | Master Data Management Data Warehouse | Master Data Management Challenge | Data Quality Integration | Master Data Management Solution | MDM Solution | Master Data Integrity | Engineering Data Management | Master Data Management Software | MDM Software | Master Data Management System | Master Data Management Services | Customer Master Data Management | Customer Data Integration | Master Data | Data Governance | Data Quality Management | Data Management Strategy | Business Intelligence Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

bi data mart  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More...
Evoke Software Releases Axio Data Integration Product
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a

bi data mart  our customers meet the biggest challenges in e-business integration head-on. According to Bryan Rae, Data Quality Manager for AT&T, What''s the business value of enabling our data for e-business? It''s our existence. We''re either in the game or out of it. The Axio product modules include: Evoke Axio: Analyzes and profiles existing data sources to discover content, structure, and quality, and then produces a fully normalized data model. Design: Assists in the design of staging and target databases, and Read More...

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