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3 Ways Big Data Is Bringing SEO Out of The Stone Age

Anybody that was online in the 1990s knows how different search engines are in the field of SEO. Big data has drastically improved the functionality of search engines.
Big data has had a two-pronged effect on the search engine industry. AJ Agrawal, the CEO of Alumnify has talked about this in his article on Inc.

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Why software projects take longer than you think – a statistical model

Anyone who built software for a while knows that estimating how long something is going to take is hard.
It’s hard to come up with an unbiased estimate of how long something will take, when fundamentally the work in itself is about solving something.
One pet theory I’ve had for a really long time, is that some of this is really just a statistical artifact.

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Beware the bandwidth gap – speeding up optimization

Disks are slow and RAM is fast. Everyone knows that. But many optimization algorithms don’t take advantage of this. More to the point, disks currently stream at about 100-200 MB/s, solid state drives stream at over 500 MB/s with 1000x lower latency than disks, and main memory reigns supreme at about 10-100 GB/s bandwidth (depending on how many memory banks you have).

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Make Your Data Relatable

I’m a big admirer of Nancy Duarte and her new book DataStory. One thing that Nancy knows is that data communication isn’t just about data visualization — any more than a movie is just about moving images. Audiences are moved by a movie because of so much more: storyline, characters, conflict, context, mood, specificity, meaning, and relatability.

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Omni-channel Retail Paradox: the Curse of Digital

Everyone knows that the retail industry is being transformed by digital, analytics and big data. Winning requires continual data-driven experimentation and transformation.   Shortened time from idea-to-app is a constant challenge. Evidence of this “digital disruption” by category are mounting every day.

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