Remove 2013 Remove Big Data Remove Business Intelligence Remove Visualization
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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. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

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

datapine

Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. In 2013, less than 0.5%

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

Howard Dresner

Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere. He is one of the foremost thought leaders in Business Intelligence and Performance Management, having coined the term “Business Intelligence” in 1989.

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

FineReport

Recently, FanRuan has been recognized with Honorable Mention in the 2022 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms released by the well-known IT research and consulting firm Gartner! In 2020, FanRuan was listed by Internet Weekly as the most leading enterprise in the big data field.

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

As the following diagram demonstrates, Amazon Redshift will call Forecast, and data needed for Forecast model creation and training will be pushed from Amazon Redshift to Forecast through Amazon Simple Storage Service (Amazon S3). to create forecast tables and visualize the data. Bike Sharing Dataset.

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Dresner’s Point: How to Move the Needle in User Adoption

Howard Dresner

The topic of how to increase user adoption of business intelligence technologies generated a lot of opinions in a recent Friday #BIWisdom tweetchat. Mobile apps have the characteristics that “good BI” should have: agile, visual, interactive and intuitive. The tweets started with opinions about what hampers user adoption.

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How Wallapop improved performance of analytics workloads with Amazon Redshift Serverless and data sharing

AWS Big Data

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift.