Remove 2013 Remove Big Data Remove Business Intelligence Remove Data-driven
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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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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Big data technology has been instrumental in helping organizations translate between different languages. We covered the benefits of using machine learning and other big data tools in translations in the past. How Does Big Data Architecture Fit with a Translation Company?

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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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14 essential book recommendations by and for IT leaders

CIO Business Intelligence

The Unicorn Project: A Novel About Developers, Digital Disruption, and Thriving in the Age of Data (IT Revolution Press, 2019) tells the story of Maxine, a senior lead developer, as she tries to survive in a heartless bureaucracy overrun with paperwork and committees. 10/10; would — and often do — read again.” Practical, indeed.

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Dresner’s Point: Are You Ready for the Mobile BI Diamond?

Howard Dresner

A participant in one of my Friday #BIWisdom tweetchats observed that “in the mobile ecosystem, Big Data + social + the NSA data surveillance news are a perfect storm.” Bottom line: Like an unpolished diamond in the rough, mobile delivery of business intelligence hasn’t yet reached its potential.

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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. Some tweeted that perhaps we should apply the mobile app model to business intelligence. But one thing has not changed: technology adoption must be driven top down.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Cloud technology and innovation drives data-driven decision making culture in any organization. Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. Cloud washing is storing data on the cloud for use over the internet. Hadoop was developed in 2006.