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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. Graph Algorithms book.

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

CIO Business Intelligence

Decision intelligence seeks to update and reinvent decision support systems with a sophisticated mix of tools including artificial intelligence (AI) and machine learning (ML) to help automate decision-making. Types of decision support system In the book Decision Support Systems: Concepts and Resources for Managers , Daniel J.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations. The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. Predictive analytics is the most beneficial, but arguably the most complex type.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Just doing machine learning is not enough, and sometimes not even necessary.”. First off, her slides are fantastic! Nick Elprin.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

.” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting.

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What Is Embedded Analytics?

Jet Global

We have laid out the pricing and packaging trends that pertain to embedded analytics. To learn more about taking a disciplined approach to pricing and all the considerations that shape your go-to-market strategy, download this e-book. Diagnostic Analytics: No longer just describing.

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A Guide to Data Analytics in the Travel Industry

Alation

Why is data analytics important for travel organizations? How is data analytics used in the travel industry? The travel and tourism industry can use predictive, descriptive, and prescriptive analytics to make data-driven decisions that ultimately enhance revenue, mitigate risk, and increase efficiencies.