English | EN Consider: Big Data today is what the web was in 1993. We knew the web was something and that it might get Big, but few of us really understood what “Big” meant.
For organizations, what is the most important new rule of play with regard to Big Data?
Big Data Question 4
About the author
Sander Duivestein (1971) is a highly acclaimed and top-rated trendwatcher, an influential author, an acclaimed keynote speaker, a digital business entrepreneur, and a strategic advisor on disruptive innovations. His main focus is the impact of new technologies on people, businesses and society.
2 spelregels:
– denk in kleine stappen (zie vorige onderwerp). Dus ontwikkel incremental en voeg continue waarde toe en meet die waardetoevoeging ook (meten is weten).
– geloof de big data niet (de big data is per definitie onwaar), dus stel altijd vast wat het waarheidsgehalte van je resultaten is.
Vooral eerst borgen van de data, hoeveel het er ook is. Té is nooit meer een vraagstuk. Bouw zoveel mogelijk historie op. Volgende stap is op kleine schaal, hetgeen wat Ted al noemt, proeven uit die waarde toevoegen. Toon aan dat de bewegingen in de markt gehaald uit je eigen big data een duidelijk beeld geven welke volgende stap genomen móet worden.
This will be awesomely big. We can’t even fathom this. Look at massive Hadoop clusters. Look at Watson. Nobody in his right mind could foresee this in the common business space.
We’ll see innovation to rise up to the challenge.
So, the most important rule of play is: “Don’t think you can understand this fully. But be confident that you can harness its power for your benefit”.
We don’t understand a human brain, but we can work toghether.
Think BIG. The effort will be expensive, the learning curve will be steep, and hence the benefits must be game changers. So think in 10%s of turnover increase, or it is not worth it.
First try to give the client something that he values more than just a commercial offer, if possible. We discussed the AH bonuscard this evening at the VBTU in Vianen. I think if AH would start with sending me personal advise with regard to my eating and drinking habits, I would really value that. For instance, they could detect a possible shortage of vitamine D and iron, and suggest some products (that I bought before, so I probably like them) to improve these levels. Perhaps not even with a discount, to maintain the image of a service instead of a commercial offer. When the public is used to the use of big data in such a way, the logical next step would be to commercialize it