Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.
ma content financial processes
of Data Involved in Ma naging Data Quality A data quality program involves many different types of data. The data may be current or historic, detailed or summarized, and may have a structured, unstructured, or semi-structured format. It may consist of master business entity or master reference data, or activity data created by business transaction (order entry, billing, shipping), BI (reporting, analytics), planning (budgeting, forecasting), and collaborative (e-mail, blogging) applications. All of this