3 big data lessons from the Ford Motor Company

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Michael Cavaretta, Ford data science leader

At Ford Motor Company “big data” means many things, which has ones and zeros piling up everywhere it looks. There’s data coming off the cars, data generated by the machinations of a Fortune 500 company and even the data customers are generating out in the real world about how they view the company. Michael Cavaretta,  the Ford data science leader, is one of they guys charged with helping the company sort all this data out.

 

 

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Marketing isn’t really marketing anymore

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The role of a CMO today isn’t what it used to be.

When it comes time to hire a head of marketing, many tech entrepreneurs imagine bringing on someone who’s a master of SEO and A/B testing, who will drive millions of new visitors to their website. They may see a role for the CMO beyond this — perhaps they’ll ask their job candidates “How will your marketing take advantage of big data?”

 

 

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Government agencies are spying on our data according to 33% of big data developers

Government agencies are tracking the data that two out of five software engineers are collecting, creating, and analyzing. And if you only ask those who are confident they could tell if the government was indeed spying on their data, that number goes up to 59 percent.

 

 

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The future of software is all about analytics

Companies that want to sell software to enterprise in the next few years might be wise to start thinking about data. That doesn’t mean they need to become a “big data” company, per se, but at least thinking of what metrics your customers need tracked and how to deliver that information to them.

 

 

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Is anonymity mathematically impossible because of big data?

The more data there is, the less any of it can be said to be private.

The European Union introduced privacy legislation  in 1995. The legislation defined “personal data” as any information that could identify a person, directly or indirectly. The legislators were apparently thinking of things like documents with an identification number, and they wanted them protected just as if they carried your name.

 

 

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Trying to build better workers with big data

Workers can now be analyzed like any other data.

As it turns out, bosses really do matter and they may matter more than we even realize. For example, in telephone call centers where hourly workers handle a steady stream of calls under demanding conditions, the communication skills and personal warmth of an employee’s supervisor are often crucial in determining the employee’s tenure and performance. Recent research shows that the quality of the supervisor may be more important than the experience and individual attributes of the workers themselves.

 

 

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The origins of ‘big data’

Digital technology is changing both how words and ideas are created and proliferate, and how they are studied.

The fundamental building blocks of language and culture are words and phrases, much as genes and cells are to the biology of life.  Words are how we express ideas.  Tracing their origin, development, and spread is not just an academic pursuit but a window into a society’s intellectual evolution.

 

 

 

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If big data was easier to use we wouldn’t need more data scientists

Data scientists serve as the gatekeepers and mediators between the systems and the domain experts.

There are many articles today about how big data in the U.S. is suffering from a crucial shortage of data scientists.  The 2011 McKinsey & Co. survey pointed out that many organizations lack both the skilled personnel needed to mine big data for insights and the structures and incentives required to use big data to make informed decisions and act on them.

 

 

 

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Baby boomers are the driving force behind ‘big data’ demand

Baby boomers represent the largest generation driving rapid growth in data demand.

No matter what generation we are we usually see young adults, who are tethered to their mobile device for texting, gaming and surfing the web, as the drivers of our new data-driven world. But surprisingly, baby boomers — aged 46 to 64 — represent possibly the largest generation driving rapid growth in data demand.

 

 

 

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Will Big Data Destroy the Stock Market?

Futurist Thomas Frey: When you buy a stock, you place a bet on how that stock will perform in the future. In a perfect world, where market insiders and manipulators are removed from the equation, the market is a terrific tool for determining the true value of companies being invested in.

 

 

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