Overall Approach to Data Quality ROI

  • Source: SAP
  • Written By:
  • Published:
  • (Originally Published On:) )
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

Featured Software Research:

11 Criteria for Selecting the Best ERP System Replacement

An enterprise resource planning (ERP) system is your information backbone, reaching into all areas of your business and value chain. That’s why replacing it can open unlimited business opportunities. The cornerstone of this effort is finding the right partner. And since your long-term business strategy will shape your selection, it’s critical that your ERP provider be part of your vision. Read More

Self Service Business Intelligence

Self service BI is technology that provides non-technical individuals who need data with the ability to gather and display meaningful information. The technical and business complexities of identifying data sources, transforming and integrating data sets, enhancing data quality, and providing a data repository are necessarily addressed before a self service BI application is made available. Read this white paper to learn more about how the technical framework and infrastructure for supporting self... Read More

You may also be interested in these related documents:

Data Quality Strategy: A Step-by-Step Approach

  • Source: SAP
  • Written By:
  • Published:
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

Scalable Data Quality: A Seven-step Plan for Any Size Organization

Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how. 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 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. Read More
 
comments powered by Disqus