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The Role of Business Intelligence in The Modern Commercial Organization

Smart Data Collective

The management decisions depend entirely on the depth of the analysis of available information. While top management is concerned with global issues, line managers are more concerned with the state of affairs in their specific line of business. BI (Business Intelligence) systems exist to solve problems. Conclusion.

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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO

Jon Pruitt, director of IT at Hartsfield-Jackson Atlanta International Airport, and his team crafted a visual business intelligence dashboard for a top executive in its Emergency Response Team to provide key metrics at a glance, including weather status, terminal occupancy, concessions operations, and parking capacity.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

Datapine Blog

After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. It does this by using Artwork Visual Analysis (AVA) “a collection of tools and algorithms designed to surface high-quality imagery from videos.

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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. 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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How Trend Analysis Works in Marketing

Netbasequid

Trends come and go, and marketers need to keep tabs on the lifecycle of each with proper trend analysis. A trend analysis is the method used to track shifts in trends for an ongoing understanding of global and niche narratives. We’ll discuss the advantages in more detail here, and also how trend analysis works in marketing.

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7 Tips for Text Analysis Success

Netbasequid

Text analysis is the process of sorting, analyzing and gaining insight from text sources. Thanks to data science and artificial intelligence, machine learning can mine the rich resources of text data and break it down into its components to identify themes, sentiment, trends and many other indicators found within. Thematic analysis.

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US Aerospace Sector Poised to Take Off After Pandemic Slowdown

ArchIntel

Executive Profile: Jim Drea, Business Intelligence and Analytics Director at Parker Aerospace. Drea took on the role in 2016 and has since led the company’s business transformation using robotic process automation, self-service analytics and data governance. Jim Drea, Director, Parker Aerospace.

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