article thumbnail

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
article thumbnail

Rethinking data analytics as a digital-first driver at Dow

CIO Business Intelligence

In today’s digital world, the ability to make data-driven decisions and develop strategies that are based on data analytics is critical to success in every industry. This not only involves transforming data into a competitive advantage but rethinking how we use and distribute D&A across our business and functions.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Implementing Digital Sovereignty in the Journey to Cloud

CIO Business Intelligence

Continuing with current cloud adoption plans is a risky strategy because the challenges of managing and securing sensitive data are growing. Businesses cannot afford to maintain this status quo amid rising sovereignty concerns. As it becomes a dominant IT operating model, critical data is finding its way into the cloud.

article thumbnail

3 ways CIOs should drive the future of work

CIO Business Intelligence

But taking this kind of butler approach to the organization’s future of work mission and waiting for business drivers can be shortsighted. I expect we’ll see the consumerization of search and knowledge management over the next decade, driven by generative and conversational AI capabilities.

article thumbnail

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.

article thumbnail

Want to be a hybrid cloud winner? The recipe for XaaS success

IBM Big Data Hub

Building confidence in safeguarding data Data is the lifeblood of modern businesses, but its movement must be safe and compliant. Scaling AI for better business outcomes and impact AI has transitioned from peripheral to core business driver, demanding optimized infrastructure for high-performance AI workloads.

article thumbnail

Announcing zero-ETL integrations with AWS Databases and Amazon Redshift

AWS Big Data

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. But integrating data isn’t easy.