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

datapine

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. 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. Behind the scenes.

Big Data 244
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What is Self-Serve Data Preparation and How Can It Support Business Users?

Smarten

Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge. What is Self-Serve Data Preparation?

IT 40
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Version 2 of The Anatomy of a Data Function

Peter James Thomas

Between November and December 2017, I published the three parts of my Anatomy of a Data Function. These were cunningly called Part I , Part II and Part III. Eight months is a long time in the data arena and I have now issued an update. Larger PDF version (opens in a new tab).

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New CIO appointments in India, 2022

CIO Business Intelligence

In his new role, Ramamoorthy will lead technology and digital transformation for the bank, as well as be responsible for modern technologies such as APIs, AI and machine learning, and business intelligence. In 2017 he left to become a senior vice president at Reliance Payment Services.

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7 famous analytics and AI disasters

CIO Business Intelligence

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The refrain has been repeated ever since.

Analytics 145
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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. It’s up two places from 2017 and up six places from 2016. (A

IoT 20
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Fact-based Decision-making

Peter James Thomas

Especially for all Business Analytics professionals out there (2009). [7]. Why Business Intelligence projects fail” (2009). Ideas for avoiding Big Data failures and for dealing with them if they happen (2017). The origin of this was a Peter Sellers interview in which he impersonated Caine. [5].

Metrics 49