White papers related to "Data Quality"
This white paper from Business Objects, an SAP company, focuses on these concepts as they pertain to marketing, and particularly as they are supported by data quality functions inside of the broader EIM framework. TYPICAL DATA PROBLEMS IN A MARKETING CAMPAIGN Perhaps you recognize or have suffered at the hands of some of these problems.
Related to Data Quality: Business Performance Management (BPM), Customer Relationship Management (CRM), Data Management and Analysis, Data Quality, Direct Marketing, Enterprise Marketing Management (EMM)/Marketing Resource Management (MRM), Enterprise Performance Management (EPM)/Balanced Scorecard, Executive Information System (EIS), Marketing Automation, SAP
This paper reviews current industry problems concerning data quality, and takes a detailed look at how companies are addressing quality problems with customer, product, and other types of corporate data. It explains why data quality projects
Related to Data Quality: Data Cleansing, Data Cleansing, Conversion, or Modeling, Data Entry, Data Management and Analysis, Data Quality, Database Management System (DBMS), Product Data Management, Technology Tools and Methods, SAP
Fortunately, there is a solution that can help organizations overcome the complex and expensive challenges associated with MDM a solution that can handle a variety of data quality issues including data deduplication; while leveraging the integration capabilities inherent in Microsoft SQL Server Integration Services (SSIS 2005/2008) to facilitate the assembly of data from one or more data sources.
Related to Data Quality: Data Cleansing, Data Management and Analysis, Data Quality, Server, SQL, Melissa Data
One simple component of a data quality initiative is to only patronize list vendors that consistently deliver a quality product. But unlike wine, address data does not improve with age and even an error-free list will not stay that way forever. Customers move, companies merge and go out of business.
Related to Data Quality: Data Management and Analysis, Data Quality, Decision Making, Software Asset Management, Software Selection, Melissa Data
Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.
Related to Data Quality: Business Intelligence (BI), Customer Relationship Management (CRM), Data Quality, Enterprise Resource Planning (ERP), SAP
Tied with budget constraints, the other number-one answer was data quality. In addition, an equal number of respondents (35%) cited data quality as more important than budget constraints.
Related to Data Quality: Business Intelligence (BI), Data Management and Analysis, Data Quality, Data Warehouse, SAP
As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue.
Related to Data Quality: Customer Relationship Management (CRM), Data Cleansing, Data Management and Analysis, Data Quality, Trillium Software, Information
Discover six key steps you can take and put into effect to help you realize a tangible return on investment (ROI) on your data quality initiative.
Related to Data Quality: Data Management and Analysis, Data Quality, Database Management System (DBMS), Return on Investment (ROI), SAP
But in many companies, data quality management has not kept pace with the growth of data integration projects, and its use is immature.
Related to Data Quality: Business Intelligence (BI), Consulting and Services, Data Management and Analysis, Data Quality, Data Warehouse, Data Warehousing, Database Management System (DBMS), Database Migration and Conversion, Migration and Version Maintenance Services, SAP
The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.
Related to Data Quality: Application Server, Business Intelligence (BI), Collaboration and Groupware, Collaborative Work, Communications, Infrastructure, and Transportation Planning, Content Distribution, Data and Application Distribution, Data Management and Analysis, Database Management System (DBMS), Development, Electronic Distribution and Storage, File Management, IT Monitoring and Management, Network Monitoring, Regulatory and Compliance, ByteManagers, Finance and Insurance, Manufacturing
Do you use real customer profiles and statistics to drive marketing efforts, or real employee data for salary or benefit analysis? While these activities are critical to success, they can put you at risk for a data breach. But with a data security system, you can maintain the data?s original properties, while giving clearance for key business activities to proceed. Learn how to assure your sensitive data is protected.
Related to Data Quality: Data Quality, Security, Camouflage Software Inc.
It also means a greater emphasis on processes and tools used to assure data quality.
Related to Data Quality: Business Intelligence (BI), Data Management and Analysis, Data Quality, SAP
name = TEC_WP; Unified Data Management: A Collaboration of Data Disciplines and Business Strategies by SAP --> Email this to a friend View More Related Papers Receive White Paper Updates White Paper Description In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on.
Related to Data Quality: Content Management, Data Management and Analysis, Data Quality, Database Administration, Metadata Modeling, SAP
At the same time, it frees IT groups from ongoing development duties, enabling them to focus on systems management and maintenance issues, as well as data integration and data quality issues.
Related to Data Quality: Business Intelligence (BI), Data Quality, End-User Query and Reporting, QlikTech International
But efforts to collect data about your organizational processes, financial situation, and business performanceand consolidate and analyze itare hampered by inconsistent data sources, problems with data quality, and a lack of clarity about how to use it.
Related to Data Quality: Business Intelligence (BI), Business Performance Management (BPM), Data Management and Analysis, Data Mining, Data Quality, Data Warehouse, SAP