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McKinsey Report: Are you ready for the era of ‘big data’?

Great study on the opportunity and challenges of Big Data. While every industry can benefit from big data analytics some will more than others:

Quotes from the article:

Over time, we believe big data may well become a new type of corporate asset that will cut across business units and function much as a powerful brand does, representing a key basis for competition. If that’s right, companies need to start thinking in earnest about whether they are organized to exploit big data’s potential and to manage the threats it can pose. Success will demand not only new skills but also new perspectives on how the era of big data could evolve—the widening circle of management practices it may affect and the foundation it represents for new, potentially disruptive business models.

…

Big data ushers in the possibility of a fundamentally different type of decision making. Using controlled experiments, companies can test hypotheses and analyze results to guide investment decisions and operational changes. In effect, experimentation can help managers distinguish causation from mere correlation, thus reducing the variability of outcomes while improving financial and product performance.

Source: mckinseyquarterly.com

    • #bigdata
    • #analytics
    • #mckinsey
  • 1 year ago
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McKinsey: Second Economy

McKinsey recently published on the “Second Economy”. Below two quotes on how it is defined and it what sense it acts intelligently. (This pragmatic definition of intelligence is extremly helpful, because it acknowlege that a service like Google Search is intelligent even though it will - hopefully - never posses consciousness.)

Interestingly business analytics is a much bigger player in this second economy as in the visible one. Think credit scoring, price optimiation or campaign optimization.

Quotes from the article:

If I were to look for adjectives to describe this second economy, I’d say it is vast, silent, connected, unseen, and autonomous (meaning that human beings may design it but are not directly involved in running it). It is remotely executing and global, always on, and endlessly configurable. It is concurrent—a great computer expression—which means that everything happens in parallel. It is self-configuring, meaning it constantly reconfigures itself on the fly, and increasingly it is also self-organizing, self-architecting, and self-healing.

[…]

There’s a parallel in this with how biologists think of intelligence. I’m not talking about human intelligence or anything that would qualify as conscious intelligence. Biologists tell us that an organism is intelligent if it senses something, changes its internal state, and reacts appropriately. If you put an E. coli bacterium into an uneven concentration of glucose, it does the appropriate thing by swimming toward where the glucose is more concentrated. Biologists would call this intelligent behavior. The bacterium senses something, “computes” something (although we may not know exactly how), and returns an appropriate response.

    • #McKinsey
    • #Economy
    • #IT
  • 1 year ago
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Who wouldn’t expect analytics vendors pitching for analytics as a strategic differentiator. But lately media has hyped it quite a bit from bone-dry “The Economist” (Data Everywhere) to freaky “Wired” (The End of Science) and many others.
Now McKinsey published a comprehensive study that — while offering little real news — serves as a neat primer to the practice and its impact. Check:
Big data: The next frontier for innovation, competition, and productivity
Deep analytical talent: Where are they now?
Recommended read indicating that analytics is continuing gaining attention in business.
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Who wouldn’t expect analytics vendors pitching for analytics as a strategic differentiator. But lately media has hyped it quite a bit from bone-dry “The Economist” (Data Everywhere) to freaky “Wired” (The End of Science) and many others.

Now McKinsey published a comprehensive study that — while offering little real news — serves as a neat primer to the practice and its impact. Check:

  • Big data: The next frontier for innovation, competition, and productivity
  • Deep analytical talent: Where are they now?

Recommended read indicating that analytics is continuing gaining attention in business.

Source: mckinsey.com

    • #Analytics
    • #Strategy
    • #McKinsey
  • 1 year ago
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IT growth and global change: A conversation with Ray Kurzweil

Convincing and thought-provocing pitch from Ray Kurzweil, one of the both most visionary and most controversial figures in IT, on how the exponential growth of technologies will transform industries and pose new opportunities—and hurdles—for business and society.

I think his judgement of benefits of IT developments outweighing the perrils is rather bold. The truth is, I suspect: No one knows.

    • #IT
    • #McKinsey
  • 2 years ago
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McKinsey on Technology Trends

    • #Business
    • #McKinsey
    • #Study
    • #Technology
    • #Trends
  • 2 years ago
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I love applying Advanced Analytics to business problems.

My interests include Data Mining, Statistical Analysis, Predictive Analytics, Forecasting, Operations Research and Optimization, Big Data, Open Data and Data Visualization, Enterprise Software, and the Internet.

All opinions my own.

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