What Is Data Quality?

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

IBM InfoSphere Information Server for Data Quality - 개요 |

IBM InfoSphere® Information Server for Data Quality를 사용하면 지속적으로 데이터를 정리하고 데이터 품질을 모니터링하여 데이터를 신뢰할 수 있는 정보로 전환할 수 있습니다. 이 솔루션은 데이터와 데이터의 관계를 이해하고, 데이터 품질을 지속적으로 분석 및 모니터링하고, 데이터를 정리, 표준화 및 일치시키고, 데이터 리니지를 유지하는 데 도움이 되는 엔드투엔드 데이터 품질 툴을 제공합니다. IBM이 2020 Gartner Magic Qu ...

What is Good Data Quality for Data Engineers? - IBM Blog

Data quality for data engineers must focus on four characteristics: fitness, lineage, governance and stability. Read article to learn more.

Data Quality Tools & Solutions

Ensure data quality is preserved with solutions that enhance data integrity across strategic systems to support better decision making across your organization.

Data Quality for AI API | IBM

데이터 준비 작업이 업무의 80%를 차지한다면, 데이터 품질을 보장하는 것은 머신 러닝 팀의 중요한 업무라고 생각합니다. Andrew Ng, Professor of AI at Standford University and founder of DeepLearning.AI March 2021 https://www.deeplearning.ai/the-batch/issue-84/

6 Pillars of Data Quality and How to Improve Your Data

Enhance your understanding of data quality and its impact on achieving reliable insights and maximizing the value of your data assets.

What is Data Observability?

Data observability is about truly understanding the health of your data and its state across your data ecosystem. It includes a variety of activities that go beyond traditional monitoring, which only describes a problem. Data observability can help identify, troubleshoot and resolve data issues in near-real time. Utilizing data observability tools is essential for getting ahead of bad data issues, which sit at the heart of data reliability. These tools enable automated monitoring, triage alertin...

An IBM Office of Privacy and Responsible Technology Case Study

We also need to align with those standards efficiently, quickly clearing new data sets so that our teams have ready access to an expanding and diverse catalog of quality data. IBM’s data...

IBM InfoSphere Information Server for Data Quality - 개요 - 대한민국 | IBM

IBM InfoSphere Information Server for Data Quality 21 검토 - G2 Crowd 21 검토 - G2 Crowd 통합된 환경에서 데이터를 정리하고 데이터 품질을 모니터합니다. 데모 가이드 실행하기 상담 예약하기

Data integrity vs. data quality: What's the Difference?

Data quality and integrity are vital to a data-driven organization that employs analytics for business decisions, offers self-service data access for internal stakeholders and provides data offerin...