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Editor's Notes

• #4: I love data, I love understanding data, I love the complexity of data and I love joining data together to develop insights.This is detective workIts deductiveI started sparkgeo 3 years ago but even before that I was deeply embedded in data. I started my professional life doing geostatistical analysis studying the optimization of soil sampling strategies using normalized difference vegetation index imagery dervived form low cost remote aerial remote sensing and near-infrared videography.We then studied the spatial distribution of the chemo-types of scots pine saplings in royal forest at balmoralAfter that I helped to clean up a corporate address database through the automated matching of addresses, places and people.Since crossing the pond I have been analysing forestry and resources data. Most most recently at sparkgeo in addition to resources work we help social networks “get” location. Data has been a theme in my life
• #5: But what drives technology.There was a relatively recent time when clock speed or pixel depth or some specification would drive technologyThat’s changing, now instead of specs, we look at features and when we look at features we are looking at dataData now drives the experience
• #6: Data drives your experiences of the internet, and in fact many other parts of your world.It is a measure by which we at sparkgeo are graded.
• #7: As a technology, company we are also a data company.
• #8: This is fromSparkgeo.com, so I guess this isn’t a surprise, we work in the tech space, we probably should be a data company.
• #9: Life360 33 million usersMapmyfitness 20 millionA couple of hundred thousand active users a dayA couple of hundred data points per routenextdoor
• #10: This might be more of a surprise. But by the end of this talk, I challenge you to dispute this fact. Every company is a data company. And what you do with data will be a KEY differentiator between you and your competitors.
• #11: This is what I will talk about for next few minutes.
• #12: http://www.oxforddictionaries.com/definition/english/dataIn Latin, data is the plural of datum and, historically and in specialized scientific fields, it is also treated as a plural in English, taking a plural verb, as in the data were collected and classified. In modern non-scientific use, however, it is generally not treated as a plural. Instead, it is treated as a mass noun, similar to a word like information, which takes a singular verb. Sentences such as data was collected over a number of years are now widely accepted in standard English.
• #13: This must be true, I read it on the internet. Whether its precise or not is irrelevant. The point is that we now have unprecedented access to data. I can’t articulate how much data sits on the internet
• #14: These numbers are very big… Big is a term we will use a great deal in the next few mins,Don’t be worried, big just means big…So in terms of data, there is lots of data…
• #15: A data point could be my height, my gender, my age, my date of birth.Some of these things will change over time, some *could* change over time and some will never change. Think of these as either static or dynamic data points. Sometimes you will hear about realtime data, that’s data thatsoundslikeitischangingfast, howevermyage and date of birth are also ‘real time’.*Real time*, is a way of presenting change in data, or if youwant to beharsh: it’s a marketing term.
• #16: Really? This is why we built the internet?14,308,667,560, and 2.7% of which are pictures of cats with bread around their face.University of abster
• #17: 86 million views?Of an angry cat?So, briefly consider the bandwidth wasted in cat viewing for a second…14 billion cat pictures / videos some being viewed up to 90 million times…?
• #18: Data is a collection of data points, usually describing something useful, well at least useful to somebody…Data is not informationData is not insightData is the support mechanism for developing information and insight. Without data you have opinion or guesswork or gut feelings, which are also valid in the presence of genuine experience.But data can tell you new stories about the world. New stories that could make a difference.
• #19: Lets run through some terminology…Big data!You will have heard this buzz term. It’s a way of describing data that’s really too big to have on a single machine and too big to transport or process conventionally.Typically its ‘messy’ or unstructuredTypically it was seen to be difficult to use or leverage
• #20: If you run a small or medium-size business, chances are you haven’t felt a need to invest in extensive customer data, relying instead on your well-honed intuition to help you hold your own against data-rich, bigger competitors. A lot of small-firm owners and managers feel that way, and in many cases they’re justifiably proud of their competitive intangibles—a gut sense of the market and the flexibility to change quickly.What you may not realize is that investing in data and learning how to use it might be transformative for your business. In research conducted with Gillian Armstrong of the University of Ulster and Andrew Fearne of the University of Kent, HBR found not only that small businesses benefited from the precision offered by customer data, but also that exposure to data encouraged owner-managers to share insights with employees and get them involved in companies’ competitive thinking.HBR and university of Ulster provided loyalty scheme data from the Tesco card to 7 small companiesFound that they were able to leverage this data exceptionally well. But the small firms didn’t abandon their reliance on experience. Instead, the data complemented the owners’ and managers’ intuition, giving them new confidence.This study was looking at consumer data in particular. An in reality this environment changing (as everything always does)Big is getting smaller, the tools are getting better and everyone now can actually leverage some forms of big dataBut access to data will always be a differentiator.What do you know about your customers that your competitor does not?
• #21: Dubbed the sexiest job in the 21st CenturyWhich is actually hugely ironicA data scientist is a statistician who lives in SFData science is statistics on a macA Data scientist is someone who is better at statistics than a software engineer and better and software engineering than a statistician.
• #22: At sparkgeo we make maps, lots of maps. We often use data to make those maps, in all the years we’ve been making maps we have learned a few things about the world. One of those things is that you can make the world look different depending upon how you project the world, which is an ellipsoid, a close to spherical blob onto a flat plane, on in this case a screen. There are contentious projection systems such as the peter’s projection which is arguably more representative than our standard and Mercator view of the world. One of my favourites is the lambert conic conformal, which makes Canada look particularly good.But something which few people are aware of is the fact that we actually
• #23: Live on a giant chickenData needs context.without context, data can be…. Misleading?
• #25: RoutingManaging workforceInvoicing, do you track hours?Project management, ?
• #26: Again for general business purposesBut also do you use google analytics, an excellent tool for understanding your web traffic
• #27: The Los Angeles and Santa Cruz police departments, a team of educators and a company called PredPol have taken an algorithm used to predict earthquakes, tweaked it and started feeding it crime data. The software can predict where crimes are likely to occur down to 500 square feet. In LA, there's been a 33% reduction in burglaries and 21% reduction in violent crimes in areas where the software is being used.
• #28: These guys make games to support health care goals, the taking of medication etc.But really they capture data about behavior in healthcare and how to manage it.
• #29: Who took the prices of items sold at their auctions and started to publish them.Richie brothers now set the price of used equipmentThey took a piece of their business and started the leverage the data they were already collectingThey added enormous value to their business by thinking just a little differently about the data they were already collecting in their day to day business operations.Data can make the difference, data with context can cahnge the game.
• #31: Data runs every business. But as the legendary peter drucker said, you can’t manage what you don’t measure.So the first step towards being a data driven company is to start measuring what actually makes your company tickThat might be hours, clients, sales, production goalsLook at these items over time and see the trendsPlug your website into google analytics, start to get a feel for who is looking at you, get a feel for why. Understand their behaviourConsider if there are any measurables which you might be missing.A key piece of the data puzzle is figuring out what to measure. Likely you’ll get that wrong at first, so review and refine.More often than not data will provide the questions to which human behavior is the answer, so why does productivity drop on a Friday? Can you break that pattern with incentives? Data will provide the opportunity for deeper insight into your business. It will also help you articulate issues to your workmates. It may help demonstrate something you’ve know for years.In my experience the party with the better data wins any discussion. Its hard to dispute actual data. Consider First Nations… and environmental monitoring…
• #32: We hear about a lot about social media. Last night I heard Steve describe twitter as a river, that’s a good analogy. To a data guy the twitter stream and in fact any social network is an opportunity.In reality social media is a mine of human consciousness, as we know there are pictures of cat. Potentially 65 pictures of your cat.Usually social media is seen as an engagement opportunity, or a way of humanising a brand.But, what if instead of talking, you listened?In social media you have a huge repository of opinion > source opinions on your business, look for differentiators between your business and that of your competitors. You wonder if people like your products? The answer is there now, readily available just waiting to be discovered.So, customer behavior pattern, and product perceptionEngage brand advocatesAlso look for after market support issues, and patterns
• #33: Roofing contractors are not the first professionals who spring to mind when you think cutting-edge technology. But some roofers are using big data to drastically cut their costs. A contractor used to take a call, drive to look at a roof and, often, realize it was not a job he could take on. That meant time and money wasted. Smart roofing companies use big data to avoid that expense. A contractor gets a call, takes an address and inspects the roof at Google Earth. If he does the job, he can use Google Earth to check out the roofs of other homes in the neighborhood and offer the owners a deal.
• #34: Finally you could take the plunge and start to capture data you think has value.Are you in an industry which is heavily price controlled? Can you set that price? Are you in an industry where the public might be interested in data can you provide that data?Or can you just capture the data so you know more than the next guy?Data is your differentiator