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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.

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Steps to Continuous Data Governance Improvement

The Data Administration Newsletter

Borne of the Japanese business philosophy, kaizen is most often associated […]. What do all these disciplines have in common? Continuous improvement. Simply put, these systems pursue progress through a proven process. They make testing and learning a part of that process.

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Secrets from Data Governance Leaders: DGIQ West 2023 (June 5 – 9)

Alation

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. The best part? His major takeaway?

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Big data management

Dataconomy

Big data management refers to the strategies and processes involved in handling extensive volumes of structured and unstructured data to ensure high data quality and accessibility for analytics and business intelligence applications.

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Enterprise Analytics: Key Challenges & Strategies

Alation

Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Business strategy. Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making.