Data Quality

데이터의 품질관리 및 지표관리를 통해 데이터가 사전에 정의된 규칙을 위반할 때 사용자에게 알려줌으로써 데이터 품질을 높은 수준으로 관리합니다

Data quality

Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Moreover, data is deemed of h...

data quality 뜻 - data quality 한국어 뜻

data quality 한국어 뜻: 데이터 품질.... 자세한 한국어 번역 및 예문 보려면 클릭하십시오

What Is Data Quality?

Data quality measures how well a dataset meets criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness and fitness for purpose.

데이터 품질관리(Data Quality Management)

한 예로, 막대한 예산을 투입해 구축한 CRM이나 DW는 ‘데이터의 품질(Data Quality)’이라는 복병을 만나면서 기대만큼 성과를 거두지 못하고 있는 것. 다시 말해 CRM, DW, e비즈니스, ERP 수행에 대한 성공여부는 상당...

Best Data Quality Software 2024

Find the top Data Quality software of 2024 on Capterra. Based on millions of verified user reviews - compare and filter for whats important to you to find the best tools for your needs.

What Is Data Quality and Why Is It Important? | Alation

Data quality is defined as the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. Learn more!

Data Quality Solutions from Precisely

Confident data-driven decisions that reduce costs, boost revenue, increase compliance, and minimize risk with Precisely data quality solutions

Informatica Data Quality and Observability

Use Informatica data quality and observability tools to drive your critical business initiatives and deliver accurate, trusted data at scale.

Data Quality API - AWS Glue

This section describes the API related to Data Quality.