Remove Business Intelligence Remove Data Governance Remove Data Strategy Remove Unstructured Data
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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO Business Intelligence

Payers and providers will need to create a data foundation that addresses elements such as bringing in the right data, how to classify it, and how to create a data lineage so data sources can be tracked to address potential AI hallucinations. The need for generative AI data management may seem daunting.

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What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

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Data architecture strategy for data quality

IBM Big Data Hub

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

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Generative AI will be the key to achieving patient-centric care

CIO Business Intelligence

Focus on an administrative operation that is expensive, currently relies on heavy manual activity, and is hindered by a large amount of unstructured data. One example is creating an AI-based digital agent to assist with annual membership and enrollment for health plans.