Remove 2025 Remove Data Quality Remove Data Silos
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Five Reasons Automation Is Key to Data Governance

Precisely

For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating value for the business. In the meantime, data quality and overall data integrity suffer from neglect.

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Ensure Success with Trusted Data When Moving To The Cloud

Precisely

Gartner estimates that 85% percent of organizations plan to fully embrace a cloud-first strategy by 2025. As companies strive to leverage AI/ML, location intelligence, and cloud analytics into their portfolio of tools, siloed mainframe data often stands in the way of forward momentum. To learn more, read our ebook.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

The quality and quantity of data can make or break AI success, and organizations that effectively harness and manage their data will reap the most benefits. Data is exploding, both in volume and in variety. Effective data quality management is crucial to mitigating these risks. But it’s not so simple.

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The power of remote engine execution for ETL/ELT data pipelines

IBM Journey to AI blog

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

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5 Ways Data Leaders Can Improve Data Reliability

Dataversity

Businesses today collect and store an astonishing amount of data. According to estimates from IDC, 163 zettabytes of data will have been created worldwide by 2025. However, this data is not always useful to business leaders until it is organized to be of higher quality and reliability.

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Drowning in Data? A Data Lake May Be Your Lifesaver

ODSC - Open Data Science

Organizations that can capture, store, format, and analyze data and apply the business intelligence gained through that analysis to their products or services can enjoy significant competitive advantages. But, the amount of data companies must manage is growing at a staggering rate.

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Common Data Governance Challenges & Their Solutions

Alation

As data collection and volume surges, so too does the need for data strategy. As enterprises struggle to juggle all three, data governance offers a vital framework. The world is collectively generating trillions of gigabytes of new data. And one enterprise alone can generate a world of data. Siloed Data.