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Business Intelligence vs Data Science vs Data Analytics

FineReport

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. financial dashboard (by FineReport). Insurance Dashboard (by FineReport). What is Data Science?

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? Prescriptive Analytics. interactive reports, dashboards, timesheets flexibility in creating data apps user-friendly search for data trends integration with third-parties profound search feature.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.

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

FineReport

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. .” Offers interactive and shared dashboards. Enables Predictive Analytics on data.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

Low-latency data access and delivery (system requirement) is necessary for delivery of low-latency analytics products (business user requirement). Along with the massive growth in sensor data (including location-based and time-based streaming data), there have emerged some special analytics categories that are growing in significance.

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A Guide to Data Analytics in the Travel Industry

Alation

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. We have been able to combine datasets that we didn’t combine before.”

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Note that there’s not enough room in an article to cover these presentations adequately so I’ll highlight the keynotes plus a few of my favorites. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. The many reviews, discussions, debates, etc., Videos will be coming out later.