Data Modeling, Data Profiling, Data Quality and Data Silos

Data architecture strategy for data quality

IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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HCLS Companies: 10 Data Analytics Challenges to Overcome with Sigma Computing & Snowflake

phData

SEPTEMBER 1, 2023

By combining data from disparate systems, HCLS companies can perform better data analysis and make more informed decisions. See how phData created a solution for ingesting and interpreting HL7 data 4. Data Quality Inaccurate data can have negative impacts on patient interactions or loss of productivity for the business.

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Data architecture strategy for data quality

HCLS Companies: 10 Data Analytics Challenges to Overcome with Sigma Computing & Snowflake

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