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What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Analytics 338
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Crisis Management in the Digital Age: Lessons for 2024’s Unpredictable Economy

N2Growth Blog

There is friction between globalization and regional autonomy, a conflict between the desire for sustainability and the lure of rapid development, ongoing political uncertainties, and the ever-increasing impact of digital technology. It is the driving force behind the shift from traditional brick-and-mortar businesses to the virtual world.

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How companies around the world apply machine learning

O'Reilly Media - Data

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

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What are decision support systems? Sifting data for better business decisions

CIO

The concept of DSS grew out of research conducted at the Carnegie Institute of Technology in the 1950s and 1960s, but really took root in the enterprise in the 1980s in the form of executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS). Crop planning. Clinical DSS.

System 360
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What Do CIOs Have To Know About Business Intelligence?

The Accidental Successful CIO

CIOs need to understand how to make use of new business intelligence tools Image Credit: deepak pal. Modern CIOs need to understand that Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an company’s strategic and tactical business decisions.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Understanding key technologies and methods. Machine Learning in the enterprise".

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Why You Should Embrace Machine Learning – You Can’t Afford Not to

Datavail

were unsuccessful in fulfilling their aspirations of implementing Machine Learning (ML) systems in 2021. Pursuing the full range of economic opportunities will require an equal embrace of the technologies capable of maximizing those options. Recent research indicates that most companies (80%!) Datavail is here to help.