This blog is about how you can analyse information in the world to bring clarity and make better decisions by doing so. This post is about some thoughts on how difficult that sometimes can be! We all like to be nice and to reward people who are nice to us. So why is working out the right tip so difficult? Ideally you should be able to use tips to signal both good and bad service. I like the standard and well understood assumption in New York that 15-20% tip is expected on restaurant meals. I tip 0% or 5% to signal truly terrible service. 15-20% to signal service that was about what I expected and 25% or so to signal that they exceeded my expectations. I have a nice system that I'm happy signals what I want it to ... ... however, even in this simple case, I very much doubt that most waiters take my tip and really know what was meant by the signal! For example:
  • When I tip 5%, am I bring deliberately unkind? Do I even know that 15-20% is expected? Am I just being 'cheap'?
  • When I tip 25% am I signalling good service or am I just being flash with my cash? Did I think that was a normal tip?
So even in places we are familiar with, I believe that signalling what you want to signal with a tip is usually difficult. When considering how much to tip, I think you need to balance the following pieces of information at the very least.
The difficulty of calculating a tip in places you know
There is a lot of information there that you need to make a good decision!!!
  • First, you need to base your tip on the tip that the person is expecting from you. This varies by industry (restaurant workers yes, shop workers no. Why?), type of establishment (don't tip in a McDonalds restaurant, do tip in somewhere with white table cloths. Why? Do tip in hotels, not in B&Bs. Why?), location (by city and by country. Why?) amongst other factors.
  • If they are expecting 15% then you need to go to 20% or 25% to show appreciation. Is it ok to go below what they are expecting to signal bad service?
  • Is the tip already included in the bill? We have all made the mistake of adding a tip on only to realise on the way home that it was already in the bill and we ended up tipping twice!
  • Why tip as a percent of the bill? Does a waiter in a high class restaurant need four or five times the dollar value of tips that a waiter in a more downmarket place gets?
  • What wage is the person paid? Can they live on their salary, or do they genuinely need the tips to make a decent wage? If so, the tip is not really a tip. Its really part of the bill. If its really part of the bill, then the service would have to be pretty bad to justify you lowering the tip from their expectation. (You might argue that doing so would be akin to challenging the price of the actual goods / service you received.)
When away from places and industries that we know, it is very hard to find out what is expected as a tip. And as such, it is very hard to deliberately signal and to avoid accidentally signalling! Ask any two people and they will give you different answers. Some examples:
  • London taxis are, perhaps, the most expensive in the world, but offer perhaps the best trained drivers in the world. So what I consider reasonable for a tip probably doesn't mean much to the driver! I have lived in London for eight years and I'm not quite sure what the cab drivers actually expect by way of a tip!
  • Do you tip maids at hotels? I spend a lot of time in hotels with work and I can't claim back such tips so I don't leave them. Am I the only person in the hotel to not tip? I honestly don't know. One hotel I stay in a lot has a more local feel. I know the staff and so I feel bad not tipping. But I keep forgetting, so every now and then I leave a substantial tip on the bed with a thank you note. Hopefully this makes up for the times when I don't tip? [Someone recently told me that they tip maids in hotels as an incentive not to steal their stuff or clean the toilet with their toothbrush. That is another concept not included in my diagram: tipping as 'protection money' to avoid being treated badly!]
  • Do you tip the guy who takes your bag to your room in a chain hotel? How much? I have no idea. I try to carry my own bags to avoid the uncomfortable moment when they pause to see if I will tip and when I fumble through my wad of local currency I got from the airport ATM on the way and desperately try to calculate the exchange rate. Sometimes they insist on showing you to your room and its rude to not accept! Do you tip then?
In less developed parts of the world, it is even more difficult to know what and who to tip. And our inclination to be generous can easily be dangerous. In places you are not familiar with, I think the following is the minimum required to calculate an appropriate tip:
The difficulty of calculating a tip in places you don't know
For a start you are probably guided only by your guide book's view of what is 'expected'. Ask any two locals and you will get a different answer! There is the dangerous inclination to be more generous in local terms than you otherwise might be. "Why not just tip five dollars to the boy that helps carry your bags? Its nothing to me!" It is dangerous because you may well be giving that boy the equivalent of a week's wage for a local factory worker. In situations like this you create huge incentives for people to get close to tourists to get tips, rather than to learn skills and get more traditional jobs. Just think what this does to the local economy! But in such a situation you face the choice of looking stingy to the boy who is holding his hand out and to the people who are watching you decide what to give him, or being seen to be a big spending generous person. So its tough to do the right thing and give a tip that is reasonable in local terms rather than one that is reasonable in your terms. This also creates a whole industry of people whose very purpose is to do some small act and then guilt foreigners in to giving them a tip for it. In Marrakesh you will see the boys on the street who are seemingly stood around to help tourists lost in the maze of Souks. Show even the smallest glint in your eye of being lost and one will pounce. Even if you tell him you don't need help and don't tell him where you want to go, he will walk in front of you to your destination and when you get there, he will very vocally demand a tip of a few dollars for taking you there. They are a nuisance created by the lure of what we see as small tips. Who can refuse a few dollars of tip to a kid who has his hand out and is beginning to be an embarrassment to you by insisting that you owe him a tip for showing you the way? What do you think? Am I over-analysing? Is there a simpler way to ensure you tip the right amount without all the worry, above?
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  1. I've had the same feeling. If I don't what the customs are and I'm feeling generous, I tip regardless.

    Now that you noted what it could do to the economy, it makes me wonder.

    If you don't the local customs, I think it's best to just purposefully "misunderstand" any gestures for a tip, and just be kinda rude.

    At least you aren't destroying the economy! :)

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  2. What do you think would happen if I tipped a negative amount on a credit card? I have never had to do it, but the idea has appeared twice when I received inedible food that was not taken off the bill after it was returned. Also, why don't tippers tell the server to their face why they are tipping poorly? Say, "Yo, I'm not gonna tell your boss this, but next time, try not bringing out cold burgers". Most likely, they know a good tip means the person liked their service, but they probably don't know what kind of pet peeves every customer has. Confrontational poor tipping should be encouraged.

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  1. I gave a talk at the Big Data Insight Group in London recently and they've just posted my talk online.


    I talk about how we've helped EMI Music make use of data and about how we're doing so in zeebox.

    One of the themes throughout my talk is the importance of people. Both in terms of how we use data to help people make decisions and about how we need to understand the people we're trying to help, in order to give them what we need. Technology enables this, but without the right people and without understanding people, technology is as good as useless.


    I also talk about how important skills and judgement are. And that, although it's sometimes seen as the things that drives decisions, it's usually or perhaps always used alongside skills and judgement. 


    I think that admitting to the role of skills and judgement isn't being 'anti-data'. I think that being honest about this enables and empowers us to better use data in the right ways. And it certainly helps people to feel comfortable with data, also!

    With the right people in place and data playing the right role in an organisation, the opportunity for data to help an organisation is massive. The way that EMI Music has embraced data across the organisation alongside skills and judgement shows that this is the case.


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  2. We all know there are decisions where you need data to help you make them and there are decisions where data just isn't that important. This morning XKCD did a wonderful job of illustrating it. http://xkcd.com/1036/

    Buying a lamp is a creative decision. Turn your eye away from the reviews and go with your heart :)

    The same is true of many decisions data folks are asked to help with every day in organisations. We shouldn't be afraid to champion this strategy there, either!

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  3. We sat down recently to talk data and insight. Here is what we talked about, plus a little video of me talking about insight at both zeebox and EMI.

    http://www.thebigdatainsightgroup.com/site/article/david-boyle-emi-zeebox-data-driven-includes-video
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  4. I don't like the term 'scientist' as it makes the role sound unaccessible and elite. Google's Hal Varian said "the sexy job in the next ten years will be statisticians" ... but I don't like that term either. I'd replace 'statisticians' with 'working with data' or something ... and then I believe it!  I think data people have a tendency to overplay the role of the 'statistics' and magic of it and underplay the importance of the 'bringing it to life' and 'helping people understand / make use of it' parts of working with data.

    I thought about this because of this cool article in The Guardian about data scientists.

    As it points out, "science" is defined as "systematic study of natural or physical phenomena". I guess that's us all. Perhaps I shouldn't shy away from that phrase.

    The journalist describes the role well, as "someone who can bridge the raw data and the analysis - and make it accessible. It's a democratising role; by bringing the data to the people, you make the world just a little bit better." Perfect, eh?

    One last quote: "the four qualities of a great data scientist are creativity, tenacity, curiosity, and deep technical skills." That list sounds pretty good to me, also. So perhaps I should rename this the 'data scientist' blog and be done :)



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  5. Some fun from http://fosslien.com/ via http://www.freakonomics.com/2012/02/29/the-life-of-the-number-crunching-analyst/


    I particularly like this one:

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  6. So much data, so easily displayed in such a small but easy to understand format. I need say no more. I'm in love with the new sparlklines just made available in Google Spreadsheets: http://support.google.com/docs/bin/answer.py?hl=en&answer=2371371


    It's this simple:

    Google Spreadsheets is rapidly becoming my go to choice for building business dashboards. Bye, bye cost. Bye, bye developers (would be VERY sad not to work with them, of course). Bye, bye Microsoft!

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  7. I spoke on a panel last night on the subject 'data as the new black gold'. There are three challenges I think this metaphor poses to the data world.







    First, that of crude oil. Data is everywhere in organisations, but too often left in it's crude form: gloopy and unusable. The oil industry had to work this out before it could be mainstream. It had to refine oil to a form that works for consumers day-to-day and it had to make it available to consumers in ways that fitted in to their daily life. It's trivial to stop by a petrol station and pick up some oil in a format you can instantly make use of. Data doesn't yet work the same way: it's rare to find an organisation that appropriately refines it and then makes it available to it's people in a way they can access and make use of as part of their day-to-day work.


    Second, I think we need to demand higher 'miles per gallon' from our data. Often we gather fantastic raw data, capable of being a really powerful part of decision making ... but then business leaders don't ask interesting questions of it. They don't demand smart analysis and challenge the data to offer insight. It's like demanding that cars offer higher miles per gallon from the oil they are burning.


    Finally, I think we need to embrace hybrid technology. In cars that's about oil being only part of the story for how the car gets powered. In data it's about saying that data is only part of the story for how organisations get powered. We need to be honest and bold about the role of skills & judgement alongside data in powering organisations. Too many people believe / pretend that data alone can power organisations to greatness. Everything I've seen tells me that data is necessary but not sufficient: smart people to use the data alongside their expertise is ALWAYS required. The data world should be honest about this and build data and systems around that truth. I've always found that has a much greater impact :)
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  8. I've used a lot of word clouds recently. But I think of them as charts really, since they are still pretty faithful to the underlying data. The size of the word is proportional to the number of times that word is in the data set. Simple.

    But reading a cool data visualization book I came across this. Really it not based on 'data', but it's interesting his words and their location on the page conveys such a lot of information. Perhaps some good, well placed words can replace the need to chart actual data?

    http://creativeroots.org/2011/03/italy-infographic-map/
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  9. Simple, easy to read, but really powerful. Nice little sparklines spotted in the papers from the 20 week scan my wife just had. Cool little chart like this should be everywhere!

    And by the way, it's a boy!
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