Is it a coincidence that companies who are strong at innovation are three times more likely to rely on big data analytics and data mining than their counterparts? Or is it the data analytics that is making them more innovative in the first place? Here are 8 lessons you should learn from today's data innovators like Netflix, Facebook, Uber and Amazon: http://bit.ly/1Gz4PBW

1. Grand explorers
What we can learn from data innovators

2. Get data from the web for free

3. Or pay for data sets on demand

4. Now what?
So you want to start taking advantage of data

5. Take a look at these
innovators

7. Hyper-targeted marketing

8. Mass marketing is dead
Everything you do should be hyper-targeted to each
individual customer

10. Serving customers better

11. Stop being so selfish
Use the data you have for more than just marketing,
use it to improve the entire customer experience.

13. Predicting the future

14. You can still use data even if you don’t generate much
yourself
Predict trends with data

16. Saving billions with sensors

17. Don’t pigeonhole your data collection to data
produced by people
Machine generated data is just as useful

19. Real life price optimisation

20. You can teach an old dog new tricks
Don’t consider data analysis as too hard or expensive,
the rewards can be massive

22. Fighting crime with code

23. Your data needs to be timely and relevant in order to
have impact
Smart data collection is paramount.

25. House of cards

26. You should be using data when creating your ideas
and products
Not just when you’re marketing them.

28. Data partnerships

29. Data should inform every element of your business
Never underestimate the value the data you collect
has to people outside your organisation

30. Are 3x more likely
Companies strong at innovation
To rely on big data analytics and data mining than their counterparts

31. You should too!

32. Thank you