There’s an app for that.
No really, it is not just a catch phrase anymore! There is literally an app for almost anything you do in your daily life- from getting up in the morning to grocery shopping.
And while the apps for personal use are booming with programs that clip recipes and keep track of family schedules, there has also been an unprecedented amount of growth in app technology for offices and private businesses.
And for good reason.
Beyond IPad cash registers and attachments that make credit card swiping easy, mobile apps offer businesses of all varieties ways to streamline their work while keeping organized with the added bonus of saving a few extra trees.
Apps are truly here to stay and, if you find yourself in the unfortunate position of convincing your app-resistent company to jump on the bandwagon, here are a few points to get you started.
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I see dead people. No, I see zombies. They walk aimlessly down the street and swerve into my lane on the highway. They’re not under the spell of a witch or voodoo overlord; they’re controlled by their smartphones.
I See Zombies Everywhere
Zombies have taken over planet Earth. As I walk past a gym, zombies (in workout clothes) exit. Arm extended, phone in palm, shoulders hunched forward. Forget about making eye contact. These zombies are focused on the latest text, tweet or email. They can’t be bothered by humans.
When a car swerves briefly into my lane, or when a driver is going 35 MPH in a 70 MPH zone, it’s invariably driven by a zombie: one hand on the wheel, the other holding a phone.
Eyes pointed straight down. Talented zombies use two phones, while steering the car with the backs of their hands.
Visit a restaurant these days…
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Big data has become so big, it’s spread beyond the tech world. When 163-year-old publication New York Times hired a chief data scientist earlier this year, it became clear that even non-technical organizations were hopping on the big data train. To successfully predict what their customers want or how they might behave, companies that know how to mine big data — also know as companies who hire good data scientists — have the advantage.
To do their jobs effectively, data scientists must do a whole lotta dirty data work. The New York Times calls it “data janitor work.” In a recent article, NYT reported that data scientists spend from 50 percent to 80 percent of their time laboriously collecting and prepping data before it can be extracted into digestible insights.
“Data wrangling is a huge — and surprisingly so — part of the job,” Monica Rogati, VP for…
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