Critical data – The identification of critical data elements is a data governance practice that helps organizations prioritize IT work that improves revenue and product quality. Critical data often describes the parameters within which work must be performed. Critical data varies by industry, but examples include policy terminations or delivery addresses.
CRM – CRM applications primarily support the sales and customer support functions, although any touchpoint with a current, past, or potential customer, including marketing and field service, is relevant data for a CRM system. It is used in both business-to-business and business-to-consumer markets.
Data cleansing – Data cleansing techniques are usually performed on data that is at rest rather than data that is being moved. It attempts to find and remove or correct data that detracts from the quality, and thus the usability, of data. The goal of data cleansing is to achieve consistent, complete, accurate, and uniform data.
Data governance – Data governance requires an organization to understand and take stock of regulatory requirements, legal requirements, and business best practices which their data must meet, establish rules, and adopt automated and human processes to see that the rules are enforced.
Data hormonization – Data harmonization takes an approach to data quality that involves both machine analytics and human control. It learns which past decisions made to data are most trustworthy and relevant and then uses that intelligence to help present users effectively work with data. It combines both business-side uses of data as well as IT best practices for data quality.
Data management – Data management is concerned with the end-to-end lifecycle of data, from creation to retirement, and the controlled progression of data to and from each stage within its lifecycle. Data management minimizes the risks and costs of regulatory non-compliance, legal complications, and security breaches. It also provides access to accurate data when and where it is needed, without ambiguity or conflict, thereby avoiding miscommunication.
