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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO

This shift allows for enhanced context learning, prompt augmentation, and self-service data insights through conversational business intelligence tools, as well as detailed analysis via charts. Effective data governance and quality controls are crucial for ensuring data ownership, reliability, and compliance across the organization.

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What is data governance? Best practices for managing data assets

CIO

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy.

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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

Step 3: Data governance Maintain data quality. Features like time-travel allow you to review historical data for audits or compliance. Finally, refine and aggregate the clean data into insights that directly support key insurance functions like underwriting, risk analysis and regulatory reporting. Ensure reliability.

Insurance 164
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When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
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7 steps for turning shadow IT into a competitive edge

CIO

Smaller and midsize organizations can address the gaps by developing a communications program to engage businesses and stakeholders, establishing an ideation process to capture new business needs, and leveraging design thinking methodologies.

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Driving digital transformation at the Saudi Accreditation Center: A conversation with Dr. Fahad Almoqhim, CIO

CIO

Moreover, the system automates workflows, assigns the right assessors to applications, and verifies compliance with standards—saving both time and cost by minimizing manual work and human errors. These advancements have not only improved SAAC’s operational efficiency but have also enhanced the user experience for employees and clients.

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3 force multipliers for digital transformation

CIO

The organization’s size, types of programs, compliance requirements, and cultural readiness are just a few of the key variables requiring consideration. Align data science and data governance programs Remember when infosec was brought in at the end of the application development process and had little time and opportunity to address issues?