Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally...

processing through scripting or a data quality firewall. After cleansing, a data set should be consistent with other similar data sets in the system. The inconsistencies...

Quality of Data (QoD) is a designation coined by L. Veiga, that specifies and describes the required Quality of Service of a distributed storage system...

The Information Quality Act (IQA) or Data Quality Act (DQA), passed through the United States Congress in Section 515 of the Consolidated Appropriations...

matching, identifying inaccuracy of data, overall quality of existing data, deduplication, and column segmentation. Such data problems can also be identified...

an operational data store and may require data cleansing for additional operations to ensure data quality before it is used in the data warehouse for reporting...

Data quality, refers to the condition of a set of values of qualitative or quantitative variables Quality assurance (QA) Quality control (QC) Quality...

A data quality firewall is the use of software to protect a computer system from the entry of erroneous, duplicated or poor quality data. Gartner estimated...

tools: Power Pivot, Power View, the BI Semantic Model, Master Data Services, Data Quality Services and xVelocity in-memory analytics. Workgroup SQL Server...

phase of a quality assurance strategy referred to as the DMAIC model (define, measure, analyze, improve, control). DMAIC is a data-driven quality strategy...

A data steward is an oversight or data governance role within an organization, and is responsible for ensuring the quality and fitness for purpose of the...

The Data Quality Campaign (DQC) is a nonpartisan, nonprofit advocacy organization launched in the United States in 2005 to improve the quality, accessibility...

company. Here data governance is a data management concept concerning the capability that enables an organization to ensure that high data quality exists throughout...

to the quality or insightfulness of the data. Without sufficient investment in expertise for big data veracity, the volume and variety of data can produce...

referred to as data decay, data rot or bit rot. This results in a decline in data quality over time, even when the data is not being utilized. Data degradation...

as a proxy term for data quality, while data validation is a prerequisite for data integrity. Data integrity is the opposite of data corruption. The overall...

view of all data, for uses such as master data management, where key data is needed, or data governance for improving data quality. Data profiling refers...

enforce data quality like a data warehouse. A data lakehouse architecture attempts to address several criticisms of data lakes by adding data warehouse capabilities...

Metadata registry Data quality Data discovery Data cleansing Data integrity Data enrichment Data quality assurance Secondary data In modern management...

usage, data (/ˈdeɪtə/, also US: /ˈdætə/; ) are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact...

complex models for information quality. Most information system practitioners use the term synonymously with data quality. However, as many academics make...

Commission for Europe (2007). Statistical Data Editing: Impact on Data Quality: Volume 3 of Statistical Data Editing, Conference of European Statisticians...

poor quality. Existing data printed on paper or PET film maps can be digitized or scanned to produce digital data. A digitizer produces vector data as an...

computing, data validation or input validation is the process of ensuring data has undergone data cleansing to confirm they have data quality, that is,...

quality of statistical data. Statistical metadata Also called process data, may describe processes that collect, process, or produce statistical data...

which user may face in data synchronization: data formats complexity; real-timeliness; data security; data quality; performance. Data formats tend to grow...

metadata involving data transformations. Enriched data lineage information may include data quality test results, reference data values, data models, business...

the extraction, transformation, and loading of data. Many ETL vendors now have data profiling, data quality, and metadata capabilities. A common use case...

on the acceptability of applying any criteria in the absence of high quality data including suspicion and potential future threats, "so long as these can...

the data that can be found might have omissions or is misleading. As one layer of data-driven journalism a critical examination of the data quality is...