data analysis

Confused About Big Data? Here Are 5 Things You Need To Do

When the oil tycoon John Paul Getty was asked about his rules for success, he reportedly said, “Rise early, work hard, strike oil.”

It’s a funny line, but it seems positively quaint now. It’s hard to imagine young entrepreneurs these days looking to find their fortune in resource extraction. The days of wildcat wells have long been replaced by an industry that’s dominated  by geologists, geopolitics and an unruly band of petro-dictators.

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The Shelf-Life of Marketing Data

The MIT Sloan Management Review recently asked Does Data Have a Shelf Life? According to the article:

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How To Lose Credibility When Using Data

I have been saying for a while that data is the next big thing.

No, not data by itself (which we have been talking about forever) or even “Big Data” (which is thankfully past the prime of hype and beginning to decline and going back to its maiden name: Data). We are talking about how we use data, what we do with it, and how it leads us to better decisions.

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The Hardest Part of Any Innovation Process Is Sensemaking. And Sensemaking Is Closely Linked to Insights

The hardest part of any innovation process is where data and insights come together and try to make sense of them. Sensemaking is about using visual mappings and narrative techniques to mine the non-quantitative data. This excerpt is taken from a piece in the current issue of M/I/S/C magazine on Insights and Sensemaking co-written by me and Richard Thomas.

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Social Media Analysis: What Data Can Teach Us

The Financial Times - How Can You Be So Amateurish??

The headline in today's FT says "Rift grows between old and young - Chancellor continues to shelter older people from austerity measures."

What follows is a pathetic attempt to construct an argument to justify the headline claim. It is worth marketers understanding the technique the FT attempts to employ. When done well it can be very effective - when done like this it is beyond contempt.

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Bright Lights Project - Standard & Poor's Rating Services

Standard & Poor’s is one of three major American rating agencies (Fitch Ratings and Moody’s Investor Services are the others). They’re in the business of assessing risk of various financial instruments and the reliability of the companies and governments that issue or trade them, and their ratings affect both investor interest and the prices paid for said financial paper.

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When Computer Science and Neuroscience Intersect

The potential that lies at the intersection of computer science and neuroscience is outlined in a new, quite literally mind-blowing book, The Two-Second Advantage: How We Succeed by Anticipating the Future—Just Enough by Vivek Ranadivé and Kevin Maney. It’s my pleasure to introduce this work to you in this the first post of the book’s Post2Post Virtual Book Tour.*

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Six Provocations for Big Data

The era of “Big Data” has begun. Computer scientists, physicists, economists, mathematicians, political scientists, bio-informaticists, sociologists, and many others are clamoring for access to the massive quantities of information produced by and about people, things, and their interactions.

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Fashionable Data

London Fashion Week finished this past week (strangely, I wasn't invited) so with my sometime obsession around interesting applications of data streams, it's timely to think about what the collision of two such polar opposite worlds as fashion and data might look like. Fortunately there's already some interesting examples.

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