As I mentioned in my first post in this series, the central purpose of Data Science is to find patterns in data and use these patterns to make useful predictions about the future. It’s this predictive part of Data Science which gives the discipline its mystique; even though Data Scientists actually only spend a relatively small fraction of their time on this area compared to the more workaday activities of loading, cleaning and understanding the data, it’s the step of building predictive models which unlocks the value hidden within the data.
Every September in France, summer-weary parents pack their children off to school for la rentrée (‘the return’) and return to work after the idleness of August. The break from the métro, boulot, dodo routine of daily life enables both students and their parents to throw themselves back into their work and studies with renewed vigor. … Read more
Ah, GDPR. Like the guy (or girl) you matched with on Tinder six months ago who got less interesting the more you got to know them, it just won’t go away. It keeps sliding into your DMs with teasing headlines like, “Data Protection Authority of Baden-Württemberg Issues First German Fine Under the GDPR” or “Washington Post offers invalid cookie consent under EU rules“. And there you were thinking you were done with it back in May, when you sent all your users that “Please respond to this email to stay on our mailing list” email and threw that giant banner about cookies up on your website.
I’ve been a member of the Digital Analytics Association for, it turns out, about twelve years – over half my professional life. In that time I’ve seen the organization grow and blossom into a vibrant community of professionals who are passionate about the work they do and about helping others to develop their own skills … Read more
Accurate multichannel campaign attribution has stumped the online marketing industry for years. But what if the solution is to stop worrying about attribution, and move to an optimization-driven approach?
It’s been a busy couple of years here at Microsoft. For the dwindling few of you who are keeping track, at the beginning of 2012 I took a new job, running our “Big Data” platform for Microsoft’s Online Services Division (OSD) – the division that owns the Bing search engine and MSN, as well as … Read more
Some interesting news today: Google has fully launched the cloud-based BigQuery service that it first previewed last November. From the website: Google BigQuery is a web service that lets you do interactive analysis of massive datasets—up to billions of rows. Scalable and easy to use, BigQuery lets developers and businesses tap into powerful data analytics … Read more
It’s usually my lovely wife who blogs about jewelry, and me who blogs about charts and data, but today the tables are turned – well, almost. Wieden+Kennedy London has come up with a range of designer necklaces which celebrate the beauty of data, under the name Plot. The necklaces use charts of thirty years of … Read more
This, as it turns out: Ah, Mrs Thomas, you know me too well. The only problem with it is that it’s just too perfect to actually eat. As you’ll have no doubt already worked out just by looking at it, it’s made of 70% milk, 20% dark and 10% white chocolate. From the wonderful … Read more
Those smarty-smart smart people at Stanford (which gave us Sergey and Larry, Sun, and, ahem, Jerry) have developed some software to make it possible to insert dynamic images or videos inside the environment of another video. I’m not talking about pre-rolls, post-rolls or overlays here; the inserted images/movies (which could of course be ads) are … Read more