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Obtain Business Development With Data Intelligence Tools & Technologies

datapine

, explore data intelligence technologies, glance at information intelligence, and consider how these activities offer continued value in a real-life business context. Download right here our guide, and find out everything you need to know! Download right here our guide, and find out everything you need to know!

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5 Signs You’re Using Bad Data to Make Business Decisions

Jet Global

This poor data quality translates into an average of $15 million per year in a ripple effect of financial loss, missed opportunities, and high-risk decision making. Because bad data is the reason behind poor analytics. . Reduce the Risk of Bad Data with Master Data Management (MDM). Download Now.

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

datapine

Download our free summary outlining the best big data examples! An article titled “ The Big Business of Big Data ” examines some of the possibilities. One of our big data analytics examples is that of Tropical Smoothie Cafe. Download our summary of the best big data analytics examples-for free! Discover 10.

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. Exclusive Bonus Content: Download Our Free Data Analysis Guide. Exclusive Bonus Content: Download Our Free Data Analysis Guide.

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Predictive Analytics Helps New Dropshipping Businesses Thrive

Smart Data Collective

Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany. The dropshipping industry is among them.

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The Journey to Understanding your Insurance Customers

Cloudera

It should be noted, however, that what an insurer knows about their customer has been primarily focused on evaluating an individual’s risk factors rather than truly understanding the customer and their needs. Download the whitepaper. The post The Journey to Understanding your Insurance Customers appeared first on Cloudera Blog.

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Data Science, Past & Future

Domino Data Lab

Those workflows would feedback into your business analytics. What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things. You see these drivers involving risk and cost, but also opportunity.