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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. That represents a 24-point bump over those organizations where real time data wasn’t a priority.

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Improve User Adoption of BI Tools with Embedded BI!

Smarten

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes.

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Real estate CIOs drive deals with data

CIO Business Intelligence

Empowering agents with data Re/Max’s Ligon, who previously served as CIO of Prudential Real Estate and Berkshire Hathaway Home Services, oversees a cloud estate that includes Oracle Financials, Personify for membership management, and Inside Real Estate, a third-party industry SaaS platform tailored for brokers and agents.

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Best BI Tools For 2024 You Need to Know

FineReport

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets.

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The Cloud Connection: How Governance Supports Security

Alation

Organizations launched initiatives to be “ data-driven ” (though we at Hired Brains Research prefer the term “data-aware”). They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. On-premises business intelligence and databases.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

But the database—or, more precisely, the data model —is no longer the sole or, arguably, the primary focus of data engineering. If anything, this focus has shifted to the ML or predictive model. New trends in data architecture and data services. as it was even three years ago.

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