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Documents related to » what is data


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.

WHAT IS DATA: 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

Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your Project In Relation To Oracle Database, Data Warehousing and Business Intelligence. Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

WHAT IS DATA: was submitted regardless of what other updates may be occurring while the query is running. With this technoloqy, Oracle is uniquely positioned to handle near real-time data loads within data warehouse environments. Management Packs to automate the ongoing performance tuning of a data warehouse. One of the most interesting new performance features in Oracle Database 11g is OLAP-based materialized views. Conventional performance-tuning methods for star schemas within data warehouses have long involved the
4/20/2009 3:11:00 PM

Four Critical Success Factors to Cleansing Data
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to 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 to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

WHAT IS DATA: clean....or clean enough...right? Wrong! What is dirty data? Dirty data occurs when reality is different than the data captured and stored, therefore it is dirty. It can also be described as anomalies in the data values that renders a wrong representation in: Sales order processing and reporting Manufacturing and logistics Administration, e.g keep track of employees and customers Business processes, e.g. using customer address lists for direct mailings, using unique item identification for processing
1/14/2006 9:29:00 AM

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

WHAT IS DATA: disparate data be related? What is the focus of each source? What about standardization? Is sufficient detail available? What about unstructured data? Is data orphaned anywhere? Once the source data has been properly identified, the strategy team can then test that the data will support the required functionality of the target application. The team should begin by identifying quality problems in the source data such as syntax and semantic errors, format problems, and integrity issues and plan how to
10/27/2006 4:30:00 PM

Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

WHAT IS DATA: Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond Source: SAP Document Type: White Paper Description: For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management
3/21/2011 11:21:00 AM

About Big Data
TEC analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions. There may not be a consensus with respect to just how big

WHAT IS DATA: your data problem and what you need in order to solve it. Don’t rush; plan. Make sure you are aligning your big data initiative with your corporate goals, and be sure the benefits and risks are clear. Clear the path to success. A big data solution involves the complete data life cycle, from data collection to its visual representation. The explosion of data within an organization can be the impetus for a big data strategy. Organizations that succeed in the deployment of this sort of solution are the
11/18/2011 2:08:00 PM

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.

WHAT IS DATA: 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

What’s the Big Deal with Big Data? » The TEC Blog
what purpose, and to what extent? We want to know the challenges your organization is encountering in putting a big data initiative in place. The Big Data Vendor Landscape The big data space is being rapidly filled with offerings from big software companies such as Oracle, IBM, and Microsoft. But it’s also an open field for newcomers, from the powerful innovation machine called Cloudera to the radical approaches of NOSQL databases. Even traditional players in the analytics and business intelligence

WHAT IS DATA: big data, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
23-07-2013

Master Data Management
It’s common to hear that master data management (MDM) projects are difficult to initiate. But pairing up an MDM project with another initiative already on your organization’s priority list might be easier than you think. Find out some of the basics surrounding MDM itself, including what MDM can refer to, as well as how to couple it with other projects that may already have momentum in your organization.

WHAT IS DATA: surrounding MDM itself, including what MDM can refer to, as well as how to couple it with other projects that may already have momentum in your organization. Master Data Management style= border-width:0px; />   comments powered by Disqus Related Topics:   Data Cleansing,   Conversion,   or Modeling,   Customer Relationship Management (CRM),   Business Intelligence and Data Management,   Business Intelligence (BI),   Data Warehouse,   Database Management System (DBMS),   Data Quality Source:
6/26/2008 7:52:00 PM

Optimizing Gross Margin over Continously Cleansed Data
Optimizing Gross Margin over Continously Cleansed Data.Reports and Other Software System to Use In Your System for Optimizing Gross Margin over Continously Cleansed Data. Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

WHAT IS DATA: they are today, and what they will be tomorrow. Margin Manager leverages the cleansed data from epaCUBE’s Product Data Management suite to ensure information is accurate and in sync with your operational pricing system. Margin Manager is designed to handle advertising performance and off-invoice allowances as well as 2-way and 3-way contracts. This powerful tool also enforces user-defined business rules to convert allowances from the “buy” to the “sell” side. In addition, epaCUBE’s Margin
6/20/2006 9:23:00 AM

Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

WHAT IS DATA: data quality, data quality tools, data quality software, customer data quality, data quality metrics, data quality management, data quality objectives, data quality tool, data quality act, data quality solutions, data quality assessment, data quality campaign, data quality assurance, data quality control, data quality analysis, data quality services, data quality issues, data quality standards, data quality analyst, improve data quality, crm data quality, data quality plan, data quality definition, product data quality, data quality jobs, data quality solution, data quality methodology, data .
3/16/2011 1:15:00 PM


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