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Is $2 enough for a tip?

The Web site www.tipthepizzaguy.com suggests the following: 15% for normal service, with a $2 minimum; 20% for excellent service; 10% or less for poor service; at least 10% for orders of $50 or more. Don't assume a delivery charge, if there is one, goes to the pizza deliverer. Ask the person who takes your order.

money.cnn.com - CNN/Money: How much to tip

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How much to tip

If you ask 10 people how much to tip in a given situation, you'll get several answers and a slew of hot-headed opinions about the "right" thing to do. To help start your next debate, here's a quick guide to customary gratuities for various services. The guide is provided by the Emily Post Institute. Those with passionate views about how much to tip the pizza-delivery guy, please see the information in the footnote provided by two other sources. (For a look at the real reasons we tip and whether tipping has anything to do with the quality of service we receive, click here.) RESTAURANTS/BARS Waiter/waitress: 15% of bill (excl. tax) for adequate service; 20% for very good service; no less than 10% for poor service Headwaiter/captain: often gets a cut of table server's tip; so tip your server extra to reward captain, or tip captain separately Sommelier, or wine steward: 15% of cost of the bottle Bartender: 15% to 20% of the tab, with a minimum of 50 cents per soft drink, $1 per alcoholic drink Coatroom attendant: $1 per coat Parking valet or garage attendant: $2 to bring your car to you Washroom attendant: 50 cents to $1 DAILY LIFE Taxi driver: Varies depending on locality. Assume 15% will be enough; an extra $1 to $2 for help with bags. Food delivery person:* 10% of the bill (excl. tax), at least $1 for bills up to $10. Should tip 15%-20% for a difficult delivery. Grocery loader: Check with store policy if tips are accepted. If so, $1 for bringing bags to car; $1.50 to $3 if you have more than 3 bags. Barber: 15% to 20%, minimum $1, for a haircut. For other services (shampoo, shave or manicure) tip $1 to $2 to service provider. Hairdresser: 15% to 20%. (It is now acceptable to tip owner, unless he or she says otherwise.) Shampoo person: $2 Manicurist: 15% Spa service (e.g., massage): 15% to 20%. If service is provided by owner, no tip. Staff at coffee/food retailers with tip jars: No tip required. It's completely optional. Handyman: No tip Gas attendant: No tip * Mike Lynn, associate professor of consumer behavior at the Cornell Hotel School suggests tipping pizza delivery folk a minimum of $2 per pizza. His reasoning: Food delivery can be dangerous if delivering to crime-ridden neighborhoods or driving in bad weather, etc. The Web site www.tipthepizzaguy.com suggests the following: 15% for normal service, with a $2 minimum; 20% for excellent service; 10% or less for poor service; at least 10% for orders of $50 or more. Don't assume a delivery charge, if there is one, goes to the pizza deliverer. Ask the person who takes your order. TRAVEL Skycap at airport: $1 per bag if you check-in curbside; $2 per bag if skycap takes bags to check-in counter. Hotel doorman: $1 per bag for help with luggage; $1 per person for hailing a cab Hotel bellhop: $1 per bag for bringing luggage to your room (but a $2 minimum if you have just one bag) Hotel housekeeper: $2 to $5* per night Hotel concierge: $5 for getting you tickets or reservations ($10-plus if they're hard to get). No tip required when you ask for directions. Cruise: Varies. Ask cruise line about customary gratuities.

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How can I predict my future data?

Predictive analytics is the process of using data analytics to make predictions based on data. This process uses data along with analysis, statistics, and machine learning techniques to create a predictive model for forecasting future events.

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Rise of Big Data

Predictive analytics is often discussed in the context of big data, Engineering data, for example, comes from sensors, instruments, and connected systems out in the world. Business system data at a company might include transaction data, sales results, customer complaints, and marketing information. Increasingly, businesses make data-driven decisions based on this valuable trove of information.

Increasing Competition

With increased competition, businesses seek an edge in bringing products and services to crowded markets. Data-driven predictive models can help companies solve long-standing problems in new ways. Equipment manufacturers, for example, can find it hard to innovate in hardware alone. Product developers can add predictive capabilities to existing solutions to increase value to the customer. Using predictive analytics for equipment maintenance, or predictive maintenance, can anticipate equipment failures, forecast energy needs, and reduce operating costs. For example, sensors that measure vibrations in automotive parts can signal the need for maintenance before the vehicle fails on the road. Companies also use predictive analytics to create more accurate forecasts, such as forecasting the demand for electricity on the electrical grid. These forecasts enable resource planning (for example, scheduling of various power plants), to be done more effectively.

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