Live data from Hacker News

Big companies are not becoming data-driven fast enough

techcrunch.com

1–10 of 16 posts

Re: Big companies are not becoming data-driven fast enough

#3
post #2

Headline is misleading. This is reporting on some research showing that adoption of the "data-driven" buzzword is fairly slow. The assertion is made that this is important, without evidence. Not answered: fast enough for what?

For the robot overlords to take over.

Re: Big companies are not becoming data-driven fast enough

#4
With data products taking 6-10 weeks to be deployed, they are not fast enough for anything.

Biggest challenge here is integrating and deploying tools for each phase in the pipeline, so we built a data solution with everything you need built-in, so you can be ready in hours.

https://www.slicingdice.com/

Re: Big companies are not becoming data-driven fast enough

#5
post #2

Headline is misleading. This is reporting on some research showing that adoption of the "data-driven" buzzword is fairly slow. The assertion is made that this is important, without evidence. Not answered: fast enough for what?

You might say the article is lacking data to support its claims. I guess it was too difficult to gather.

Re: Big companies are not becoming data-driven fast enough

#6
post #2

Headline is misleading. This is reporting on some research showing that adoption of the "data-driven" buzzword is fairly slow. The assertion is made that this is important, without evidence. Not answered: fast enough for what?

>fast enough for what?

> "They can acquire all of the latest solutions to bring data to the forefront, but unless they combine that with a broad cultural shift and a deep understanding of how to use that data inside business processes, they will continue to struggle."

I guess fast enough to grow or maintain dominate positions.

Re: Big companies are not becoming data-driven fast enough

#8
post #7

Here I am thinking we went too far with data-driven product development. A/B testing and optimizing for bad metrics like "engagement" which creates products like facebook that look good from a metrics perspective.

So true. Ultimately, data only gives you insight into people's short term decision processes. It doesn't help you to give people what they actually need in the long term.

Also, data can always be presented in ways which serve the financial interests of those who control that data.

Re: Big companies are not becoming data-driven fast enough

#9
I'd like to see a solid argument for a new style of management that uses statistics in new ways. For the most part, my experience with the phrase "data driven" has been a negative one. Most of the time, when I have a client that claims to be "data driven", they are using a style of argument to avoid direct, honest conversations. When I wrote "When companies make a fetish of being data driven they reward a passive aggressive style" I did my best to explain what I've seen:

"As far as I know, there has never been a company that said “We want the worst informed people to make the decisions” so in a sense all companies have always valued data. But they didn’t make a fetish out of it. They simply expected people to be well informed, and to make intelligent arguments, based on what they know. That would have been true at General Motors in 1950. That much has probably been true at most companies for centuries. When management says that the company is going to be “data driven” they are implicitly asking for a particular type of interaction to happen in meetings, an elaborate dance where people hide their emotions and quote statistics."

http://www.smashcompany.com/business/when-companies-make-a-f...

Re: Big companies are not becoming data-driven fast enough

#10
We can never be data driven. The important data is what customers will be willing to spend money on next year - we can only make guesses. Data can educate the guess somewhat, but it is still a guess. Will our competition come up with some not patent on a product that is so much better than us that we sell nothing - if so the right answer is for the CEO to lay me off now. Will our new product be enough better with expensive to develop feature X to be worth the price - we can do focus groups and the likes but it is still a guess in the end.
Post reply on HN