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Understanding the 5Vs of Big Data

Acuvate

In order to understand at what point ‘data’ transitions into being ‘big data’, and what its key elements are, it is imperative that we study the 5 Vs associated with it: Velocity, Volume, Value, Variety, and Veracity. What is Big Data. Big data volume defines the ‘amount’ of data that is produced.

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Data-Driven Mindset: how to implement data culture in your company?

mjvinnovation

It is no coincidence that data visualization has gained such relevance in recent years. Let’s start with what the data-driven mindset is! It is embedded within the company’s DNA, it is the way they carry out their processes. Data Culture goes far beyond a strategy that simply guides a company’s data.

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Why Your Company Should Have a Data Driven Culture

InnovationManagement

While the business industry—much like the American educational system—has been slow to the uptake of implementing technological advancements into their marketing and planning strategies, the 2020s herald a new age for the use of data and technological advancement in companies big and small.

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Unlocking Innovation with Data, Creativity, and Automation

Tullio Siragusa

Unlocking Innovation with Data, Creativity, and Automation. For some, it may be through hard work and determination, while others may find success through innovation with creativity, data, and automation. In this podcast recap blog post, we will discuss how innovation derived from creativity, data, and automation can lead to success.

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7 steps to implement Data Science in your company

mjvinnovation

Data Science is about mining large amounts of structured and unstructured data to identify patterns that can help an organization control costs, increase efficiency, recognize new market opportunities, and increase the organization’s competitive advantage. Here are our seven steps to implement Data Science in your business: 1.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact. Myth 2: Data Analytics is extremely expensive.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

By embracing Design Thinking principles differently in the future of innovation, organizations can foster a more profound culture of creativity, empathy, collaboration, and user-centricity. This involves moving computing power, data storage, and decision-making to the edge of operations.