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    Startup Science

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    Startup Science

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    Startup Science

     

Hello!

Pollenizer builds incubation and acceleration programs that help entrepreneurs and big companies all over the world get started with high growth, tech-powered businesses. We call this 'startup science'.

DIY Incubation for Entrepreneurs

DIY incubation for entrepreneurs that want to drive themselves to success.

“Wow! The investment in a Pollenizer course pays for itself 10 times over by saving wasted time, effort & development costs. You’ll leave the course maniacally focussed on what it is you need to do next, which is priceless!” Dan Lamb // Entrepreneur

We’ve started lots of companies and now we’ve created products that can help you get started better. Whether you are still coming up with an idea, or chasing down product/market fit, we can help.

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Startups & Big Companies

As Australia's first digital incubator, we have developed the experience and expertise as well as a powerful network of contacts across Asia Pacific to guide startups and large corporations in their journey to innovation and success.

Lean enterprise. Fast, edgy and gutsy. Products and programs for big companies to keep up.

“21st century corporate survival requires companies to continually create a new set of businesses by inventing new business models.” David Butler
VP Innovation and Entrepreneurship // Coca-Cola

Find out how Pollenizer is helping big companies like Coca-Cola and Singtel to systematically create new business models and bring entrepreneurial drive to big companies.

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Startup Science Newsletter

A weekly dose of startup science.

Now that we all know what Big Data is, how can we use some of that data which is being generated by GAFA. Who is #GAFA you ask….? It’s 4 of the major Big Data players: Google, Apple, Facebook and Amazon. While all of these firms have created corporate fortunes through accumulating Big Data, we too can benefit from the information they generate. I thought I’d share with you some of the possibilities created by

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What is Big Data? There two things we can all agree on when it comes to big data. 1. Startups think they’ll make a fortune accumulating it 2. Big companies think they need to be using it. Both of these might be true, but there is one thing I know to be true for sure: There is a lot of confusion when it comes to Big Data. And before I go about demystifying it, we

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Then vs Now Whenever we have a look at a successful business, it’s easy to admire how all the moving parts, features and services seem to work in harmony to make a great company. Food companies like Nestle have an incredible set of related product formats. Their giant range has similar pricing, similar distribution channels, which provide incredible synergy, scale and financial power. And Nestle is not too dissimilar to Google which has an incredible array of search products: web info,

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