Dataconomy

NOVEMBER 24, 2017

At some point, almost every company faces questions like How good are the customers that we acquire? How do they differ from each other? How much can we spend to encourage their first or next transaction? As a measure that determines the amount of profit a customer brings over the. The post Understanding the value of your customer: CLV 101 appeared first on Dataconomy.

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Explosion

NOVEMBER 21, 2017

[Update on 11–29–2017: I’ve posted multiple datasets and my code containing enough for you to reproduce the analysis. Please share with the rest of us what else you find — *gets on soapbox* — a free internet will always be filled with competing narratives, but well-researched, reproducible data analyses can establish a ground truth and help cut through all of that.

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Dataconomy

NOVEMBER 20, 2017

Countless words have been written in recent years about the rise of the ‘gig economy’. As the natural evolution of the freelance model, the gig economy is based on short-term and temporary jobs handled by contractors and other independent workers. Instead of hiring full-time staff, freelancers offer a concise way. The post Can Blockchain Supercharge the Gig Economy?

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Dataconomy

NOVEMBER 22, 2017

To state the value of technology at this point would be a needless redundancy, but for as great a resource as the world of cyber information is, it also leaves crucial infrastructure vulnerable in a way that it has never been before. Without question this (relatively speaking) new threat is. The post 5 Insights on Infrastructure Cyber Attacks appeared first on Dataconomy.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Dataconomy

NOVEMBER 20, 2017

Graph databases are now common within a range of industries such as life sciences, healthcare, financial services, government and intelligence. Graphs are particularly valuable in these sectors because of the complex nature of the data and need for powerful, yet flexible data analytics. In addition, graph databases allow visibility across. The post How to keep graph databases both flexible and secure appeared first on Dataconomy.

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Dataconomy

NOVEMBER 22, 2017

If you think for a moment about the world of computers and gaming, your mind might initially drift to the perceived glitz and glamor of the latest releases that showcase 4K graphics, or perhaps even the might of the PS VR, which hints at console gaming being ready to move into. The post Can Data Explain Why Online Slots Are Succeeding Against Tech-heavy Rivals?

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