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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. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness. Data Sourcing.

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science? Data Science is an activity that focuses on data analysis and finding the best solutions based on it. Definition: Data Mining vs Data Science.

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AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

Artificial intelligence is driving a lot of changes in modern business. Here are some of the risks that organizations face in dealing with suppliers, and what they can do to mitigate those risks with artificial intelligence. You can use predictive analytics tools to anticipate different events that could occur.

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Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?

Elegant BI

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence? Advanced Analytics is the logical tool to help a business optimize its investments and achieve its goals.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Datapine Blog

4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In So, what skills are needed for a business intelligence career? Do you need a good business intelligence resume?

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Pharma Analytics: Unlocking Success and Transforming Your Business

Netbasequid

By applying internal and external data, you understand the problems better and are at an advantage in developing effective solutions, unlike using a limited dataset. Leading pharmaceutical companies gather and analyze different kinds of data, using advanced business intelligence tools to view the data holistically.

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Top 14 Must-Read Data Science Books You Need On Your Desk

Datapine Blog

By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish. Without further ado, here are our top data science books. 1) “Artificial Intelligence in Practice” by Bernard Marr.

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