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 TitleDate AddedCompany
whitepaper Basic Data Cleansing Services2006-11-02 01:00:17 Data-Cleansing-Guru.com
  Data cleansing services are handy, since the services will cleanse databases of duplicating files. Data cleansing services will often review a person's Excel databases, reviewing the data to determine the amount of cleaning needed. Once the service determines the person's needs, the reps will then define the person's needs, and refine the rules of business. The analyzing process takes off, which includes evaluation of the data records.   
whitepaper Precision Data Cleansing2006-11-02 01:00:17 Data-Cleansing-Guru.com
  Data cleansing is an indispensable task for all businesses. At one time however, many businesses found ways to handle their own cleaning, which files were lost, damaged, corrupted, and frustration bubbled. Most times the companies would hire IT workers, or others to handle data cleansing needs. The purpose was to avoid paying high fees to data cleansing services. Today, these companies are realizing how essential precision data cleansing is to their business.   
whitepaper Data Cleansing Scrubs2006-11-02 01:00:17 Data-Cleansing-Guru.com
  Data cleansing is a program and/or service that spots duplicating records within a database. Once the duplicate files are detected, the program works to remove the database, thus cleansing the base. Data cleansing programs also correct databases storing contaminated files, such as incorrect data, outdated data, incomplete files, redundant data, and incorrect formats. The primary goal of data cleansing is to restore consistency, cleanse databases, and so forth.   
whitepaper Managing Data Quality2006-11-08 01:00:18 Oracle
  Oracle Warehouse Builder is a design tool for modeling and maintaining a data warehouse. Its datasources are not limited to Oracle databases. Oracle Warehouse Builder also supports other databases, including DB2, SQL Server, Sybase, Informix, and Teradata. It also works with file and enterprise application datasources, so it supports the complete collection of data for the organization. Oracle Warehouse Builder provides profiling and auditing capabilities through its user interface, allowing for complete data quality management when combined with the previously mentioned user participation and process improvements.   
whitepaper Oracle Business Intelligence Suite Enterprise Edition Technical Overview2006-11-30 01:00:16 Oracle
  The Oracle Business Intelligence Suite EE is a comprehensive and integrated suite of Analytic Tools designed to bring greater business visibility and insight to the broadest audiences of users, allowing any user in an organization to have Web-based self-service access to up-to-the-moment, relevant, and actionable intelligence.   
whitepaper Business Performance Management (BPM) in the Mid-Enterprise2007-03-23 15:03:06 Hyperion
  Hyperion Mid-Enterprise Solutions is a set of products designed to bring the power and reliability of Hyperion's Business Performance Management (BPM) applications and Business Intelligence (BI) tools to mid-enterprise companies globally.

The Hyperion Mid-Enterprise Solutions address small and mid-enterprise customer requirements for more effective financial reporting and budgeting, operational planning, ad hoc query & reporting and business analysis. 		  
whitepaper Data Quality, Compliance, and Risk for Financial Institutions2006-11-01 INFORMATICA
  Poor data quality is endemic in most financial institutions, with risk managers frequently citing a lack of clean, high-quality data as the biggest inhibitor to achieving their risk management and regulatory compliance objectives.

To combat the problem, Informatica offers data quality scorecarding capabilities -- a metrics-driven approach to measuring, tracking, and reporting on data quality defects. Read this informative white paper to learn more about it.

Tags: Policy Document Management, Upgrades and Migration, SEC Rule 17A-4, Sarbanes-Oxley, Knowledge and Data Management		   
whitepaper DataFlux Version 8: Accelerate to Compliance, Data Governance and MDM2007-01-23 01:00:26 SAS Institute
  Increased competition in a global marketplace is forcing many businesses to re-think their data management strategies and techniques. After all, better data fuels better decisions about customers, products, suppliers and strategic partnerships. However, organizations typically store and manage information within multiple divisions, regions and languages, creating silos of non-integrated data. And as this data multiplies, data governance becomes increasingly important in solving the problems that inevitably occur across so many divisions within the enterprise. To adequately understand the business and keep pace in this increasingly global environment, one needs a technology capable of consolidating and maintaining corporate data on a single, unified master data repository.   
whitepaper Solving the Data Quality Problem2006-10-27 01:00:16 TriTuns Innovation
  This paper examines the nature, cause and impact of data quality problems in typical IT system implementations. It argues that the extent and impact of poor data quality is largely misunderstood and often ignored. It is proposed that the problem of poor data quality is primarily a behavioral problem, not a technological problem. This paper provides an approach for improving data quality through clear accountability for the prevention, detection and correction of data problems.   
whitepaper Launching Your CDI Program: The Pitch, the People, the Plan2007-01-23 01:00:26 SAS Institute
  Customer Data Integration (CDI) has one foot in established systems - those that need newly-robust customer data on demand - and the other in a new paradigm of automated data management and purpose-built data integration. Marrying incumbent technologies, available skill sets, and business processes with a new paradigm of "Integration on demand" means that launching a CDI effort is different, arguably more specialized, than other strategic IT programs. This paper describes the critical success factors to consider when starting up CDI, involving larger Master Data Management (MDM) principles, but delivering business value incrementally and quickly. The paper defines CDI as the automation of the integration, reconciliation and management of customer reference data from enterprise systems and to enterprise systems.