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"data mining" news, interviews, and features

Features about data mining

  • IoT analytics brings new levels of innovation to new product development

    Studies show that around 40% of products fail. But what if product designers could understand what features are most and least popular, which components tend to fail sooner than others, and how customers actually use products versus how designers think they use them? And, what if product developers could then utilize these insights to develop products that perform better, potentially cost less and, most importantly, are aligned with actual customer needs?

  • Big data companies argue their case at Demo Traction

    The recent Demo Traction event showcased a host of young companies that are gaining market momentum.  Each gave their pitch and then answered to a panel of judges.  If it is important for you to stay on the up and up with emerging technologies, this is must watch stuff.

  • Why businesses should focus on wide data, not Big Data

    In these heady days of Big Data, a lot of organisations treat data collection like a Pokémon game: Gotta catch it all. But Dane Atkinson, CEO of cross-platform marketing analytics specialist, SumAll, says most organizations need to think wide, not big, when it comes to data.

  • Finding critical business data -- fast

    A lot of security processes failed during the <a href="http://www.computerworld.com/article/2486959/cybercrime-hacking/target-says-hackers-likely-accessed-40-million-cards.html">breach of Target's systems</a> during last year's holiday season, but one surprising revelation was that the <a href="http://www.computerworld.com/article/2488641/malware-vulnerabilities/major-companies--like-target--often-fail-to-act-on-malware-alerts.html">retailer actually did receive</a> security alerts about the malware in its system. Yet because the security team was bombarded with alerts -- estimated at hundreds per day -- it couldn't adequately prioritize them.

  • How analytics helped Ford turn its fortunes

    Big data and analytics permeate virtually every move Ford makes, from forecasting the worldwide price of commodities to figuring out what exactly consumers want, what it will build, where it should source parts and how to power its lineup of vehicles.

  • Big data blues: The dangers of data mining

    Companies are taking matters into their own hands with internal controls, open privacy policies, ethical codes and greater candor over how they're collecting and parsing personal data. But many wonder whether it's enough to allay consumers' fears as techniques for manipulating data multiply.