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

datapine

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. Download our free summary outlining the best big data examples! Discover 10.

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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. The Role of Big Data.

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FanRuan Recognized Again With Honorable Mention in the 2022 Gartner Magic Quadrant for ABI Platforms

FineReport

FanRuan is the only ABI vendor in China to be listed in the nomination, which means it has an internationally recognized market size, product strength, and strong appeal to customers. In the domestic business intelligence software market share rankings in the first half of 2021, FanRuan ranks first with 19.1% The updated 5.1

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

The reasons are that we all like complexity, it gives us energy :), we tend to be logical, and we often treat data output as the end when in reality the data output is just the start of the process that results in actions that deliver business impact. What is the problem we are trying to solve with this data?

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions.

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Delivering More Impactful Insights From Your Cloud Data

Sisense

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. It used to be a challenge to order and structure data to get a basic answer.

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

Howard Dresner

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.