I worked at a self-described "data-driven" company, and the analogy senior leadership liked to make was that the company was like a machine learning algorithm, using data (particularly A/B tests) to do "gradient descent" of the product into its optimal form. My first take-away was that using data to make decisions is tremendously, tremendously powerful. A/B tests, in particular, can help determine causality and drive…
Do data-driven companies win?
21–30 of 63 posts
Re: Do data-driven companies win?
#22I see too many "data driven companies" that are not data driven, but selectivly use data to do what the executive wants to be done. On top of that I see companies with employees who didn't understand college mathematics but now want to be data driven - E.g. basing major decisions on 10 customer feedback data points. Or who don't know the difference between median and average.
the thirst of some people when I give them something that sounds like what they want. When they re-parrot last years findings back to me incorrectly because they only listened to the parts that backed up their instinctual beliefs. Makes me angry I waste my time on the data when all they wanted was an excuse. I coulda given them an excuse without having to do all that data digging...
Re: Do data-driven companies win?
#23I worked at a self-described "data-driven" company, and the analogy senior leadership liked to make was that the company was like a machine learning algorithm, using data (particularly A/B tests) to do "gradient descent" of the product into its optimal form. My first take-away was that using data to make decisions is tremendously, tremendously powerful. A/B tests, in particular, can help determine causality and drive…
Re: Do data-driven companies win?
#24Re: Do data-driven companies win?
#25I worked at a self-described "data-driven" company, and the analogy senior leadership liked to make was that the company was like a machine learning algorithm, using data (particularly A/B tests) to do "gradient descent" of the product into its optimal form. My first take-away was that using data to make decisions is tremendously, tremendously powerful. A/B tests, in particular, can help determine causality and drive…
If you don't know how to properly construct experiments and interpret data it's honestly not much better than hiring an ornithomancer to spot omens in the skies. To be clear, this is something that even scientists with decades of both education and experience sometimes get wrong. If you're coming at it with an MBA I've got some concerns.
Re: Do data-driven companies win?
#26I worked at a self-described "data-driven" company, and the analogy senior leadership liked to make was that the company was like a machine learning algorithm, using data (particularly A/B tests) to do "gradient descent" of the product into its optimal form. My first take-away was that using data to make decisions is tremendously, tremendously powerful. A/B tests, in particular, can help determine causality and drive…
Re: Do data-driven companies win?
#27Re: Do data-driven companies win?
#28I worked at a self-described "data-driven" company, and the analogy senior leadership liked to make was that the company was like a machine learning algorithm, using data (particularly A/B tests) to do "gradient descent" of the product into its optimal form. My first take-away was that using data to make decisions is tremendously, tremendously powerful. A/B tests, in particular, can help determine causality and drive…
I wonder if A/B testing is a bit like that. You're suddenly listening to every single issue encountered by users, but lack the wisdom to understand which issues to ignore. As a result, software changes constantly, users cannot really learn a GUI because it changes so frequently, and software teams feel like they're constantly improving things, however the software itself is not actually getting better when a the whole user's experience is taken into consideration.
Re: Do data-driven companies win?
#29I believe everything else being equal data-driven is better. Of course if data-driven means short-term with bad KPIs this version of data-driven will fail. I think a lot of people picture this A/B short-term testing when they think of it. A data-driven approach is still far from objective and relies on choosing good metrics to optimize for. To this end I would recommend the book "How to measure anything" from Douglas…
While I understand your point, it also depends on what you mean by "better". It's certainly safer, less risk, more predictable and makes planning easier. It also limits creativity and high pay offs.
Some one else commented that it was like "driving by looking only at the dashboard". You can do that very safely in planes, but you're limited in where you can go. I feel it's the same in business.
There is the option of you having an absolutely massive dataset available. It just seems a bit far fetch to assume that any company would have data that could allow them to move from developing a SaaS product to running a chain of burger joints, because the data indicates that would be a good move.