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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

Whether you’re a researcher, developer, startup founder, or simply an AI enthusiast, these events provide an opportunity to learn from the best, gain hands-on experience, and discover the future of AI. If youre serious about staying at the forefront of AI, development, and emerging tech, DeveloperWeek 2025 is a must-attend event.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. This type of analytics is valuable for troubleshooting and problem-solving.

Analytics 203
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3 Common Challenges with Business Intelligence Implementations

Dataversity

Typical business intelligence implementations allow business users to easily consume data specific to their goals and daily tasks. The ability to analyze both past and present events unlocks information about the current state and is essential for remaining competitive in today’s data-forward market.

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6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

The entire process is also achieved much faster, boosting not just general efficiency but an organization’s reaction time to certain events, as well. Basic Business Intelligence Experience is a Must. Communication happens to be a critical soft skill of business intelligence.

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