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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.

Modeling 143
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7 sins of digital transformation

CIO Business Intelligence

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model.

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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO Business Intelligence

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. How do they bring all of that data together?

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In-depth with CDO Christopher Bannocks

Peter James Thomas

Today I am talking to Christopher Bannocks , who is Group Chief Data Officer at ING. As stressed in other recent In-depth interviews [1] , data is a critical asset in banking and related activities, so Christopher’s role is a pivotal one. 2] I was asked to help solve the data problem.

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BI Adoption Trends: Learn From the Companies That Do It Best

BI-Survey

These new usage trends are most prevalent among leading adopters of data & analytics (e.g., In addition, new self-service tools, such as GUI-based authoring and data preparation tools, are making it easier for businesspeople to service their own data needs without IT assistance. Technical drivers. Business drivers.

IT 52
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Alation State of Data Culture Report: The Conflict Between Growth and Governance

Alation

The fourth quarterly Alation State of Data Culture report was just released. Generating revenue ranks as the top business driver of data and analytics initiatives. This tension between data governance and empowering the business to use data isn’t new.