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Introduction To The Basic Business Intelligence Concepts

datapine

This concept is known as business intelligence. Business intelligence, or “BI” for short, is becoming increasingly prevalent across industries each year. But with business intelligence concepts comes a great deal of confusion, and ultimately – unnecessary industry jargon. Learn here! But more on that later.

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

datapine

4) Business Intelligence Job Roles. Do you find computer science and its applications within the business world more than interesting? 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?

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

datapine

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. 6) “The Signal And The Noise: Why So Many Predictions Fail – But Some Don’t” by Nate Silver.

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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. End-users consume data using business intelligence (BI) tools and analytics applications.

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Dresner’s Point: Ready for the “2014ization” of Business Intelligence?

Howard Dresner

I don’t like making predictions, so rest assured this is not another of a myriad of predictions articles that hit the media annually. Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere. What is your organization planning to try to achieve in 2014?

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The impact of AI on edge computing

CIO Business Intelligence

These servers can host AI models directly, enabling real-time inference without relying on cloud connectivity. As organizations embrace the edge ecosystem it will unlock new possibilities for intelligent automation, predictive analytics, and personalized experiences at the edge.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. On the contrary, without using the right tools, intelligence, and insights, you’ll likely find yourself forever on the back foot.

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