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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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2018 Patent Analysis: Patent Quality and Utility Essential to Patent Owners

Anaqua

With the ability to integrate “big data” market analytics with internal portfolio analysis, IP organizations can be smarter about their patent strategies, better supporting the business while maintaining increased budget control.

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A better way: combining Business Intelligence with Design Thinking

mjvinnovation

Learn how to combine these forms of analysis and apply it in your business. A qualitative analysis of Business Intelligence is added through the experimental and collaborative methodology brought by Design Thinking. Big Data: data analysis is what really matters. A new approach: BI and DT.

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Examples of Data Science projects to help you leverage results

mjvinnovation

Regardless of industry or size, organizations that want to remain competitive in the era of Big Data need to develop and efficiently implement Data Science capabilities – or risk being left behind. Do you know what Data Science is? One way to understand data science is to visualize what a data scientist does.

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A better way: combining Design Thinking and Business Intelligence

mjvinnovation

Learn how to combine these forms of analysis and apply it in your business. A qualitative analysis of Business Intelligence is added through the experimental and collaborative methodology brought by Design Thinking. Big Data: data analysis is what really matters. A new approach: BI and DT.

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Business Analytics: how to implement in your company

mjvinnovation

Welcome to the “Data Age” First and foremost, a contextualization: we do not live what experts are calling the “Data Age” What they want to synthesize is the fact that the world has changed before our eyes, transforming into a universe of digital data of the most varied formats (text, video, audio, image, etc.).

Company 40
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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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