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Big Data: get to know your customer to generate more business

mjvinnovation

On the way to the end of the purchase, the customer contacts the brand several times in the virtual environment, be it on the website, social networks, chat, e-mail and even in channels with videos explaining ways to use. In this context, Big Data provides important data about customer behavior.

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Unlocking Innovation with Data, Creativity, and Automation

Tullio Siragusa

No matter what your path is, it’s important to stay up to date on the latest trends and technologies to stay ahead of the competition. In this podcast recap blog post, we will discuss how innovation derived from creativity, data, and automation can lead to success. In the world of b2b tech, data is even more important.

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How to grow faster than the market average

hackerearth

Manage their costs. Data & Analytics. Data and analytics is the most notable attribute that leads a company on the path to be a top grower. Empowers management to make better decisions. Big data analytics acts as a trusted advisor for an organization’s strategic planning.

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A better way: combining Business Intelligence with Design Thinking

mjvinnovation

Big Data: data analysis is what really matters. The available data is not only useful for outlining a consumer profile on the internet. In the movie Moneyball, for example, a coach facing the challenge of running a low-budget baseball team decides to employ data analysis to improve the performance of his players.

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Banging the Data Valuation Drum

Information Playground

Two months ago our research was published for the first time in MIT Sloan Management Review.    In addition to this paper, I submitted an article on Data Value as part of the Dell EMC World Knowledge Sharing competition.  For this session I invited Dean of Big Data Bill Schmarzo up on stage.

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A better way: combining Design Thinking and Business Intelligence

mjvinnovation

Big Data: data analysis is what really matters. The available data is not only useful for outlining a consumer profile on the internet. In the movie Moneyball, for example, a coach facing the challenge of running a low-budget baseball team decides to employ data analysis to improve the performance of his players.

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Data Science: Why and How do you Invest in Data?

mjvinnovation

A Data Science strategy aims to mine large amounts of structured and unstructured data to, among other things, identify patterns to help organizations control costs, increase efficiency, recognize new market opportunities, and increase competitive advantage. Banking institutions are mining data to improve fraud detection.

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