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Types of Data Models: Conceptual, Logical & Physical

erwin

There are three different types of data models: conceptual, logical and physical, and each has a specific purpose. Conceptual Data Models: High-level, static business structures and concepts. Logical Data Models: Entity types, data attributes and relationships between entities.

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AI will evolve the role of the CIO

CIO Business Intelligence

AI allows organizations to use growing data more effectively , a fact recognized by the entire leadership team. Mark Read, CEO of global advertising giant WPP recently told shareholders: “AI will also offer the ability to develop new business and financial models.” We’ve already seen that AI depends on a lot of compute power.

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7 sins of digital transformation

CIO Business Intelligence

Business drivers for the first wave of digital transformation through 2020 targeted growth, data capabilities, cloud migration, and delivering competitive technology capabilities. With generative AI now a firm digital transformation priority , 2023-24 will mark the beginning of an AI-driven transformation era.

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The Case for Continuous Financial Planning after Covid-19

Jet Global

Financial planning and analysis are usually categorised by a multitude of data sources, slow manual processes, and long planning cycles, which are out of step with the speed of the business. Covid-19’s impact on business has completely changed the forecasts and outlook for organisations both large and small.

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s

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Using Data to Adapt Your Workforce

Sisense

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adjusting to meet these changes. Key to all this is data, and those organizations that are data-driven have been on the leading edge of these changes. Using data today to build tomorrow’s workforce.

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The Value of Data Governance and How to Quantify It

erwin

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.