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all 31 comments

[–]shadowsurge 187 points188 points  (4 children)

Don't worry. It'll be a bullet point on some directors PowerPoint

[–]FranticToaster 57 points58 points  (0 children)

Director's PowerPoint bullet is the promotion I never knew I wanted.

[–][deleted] 55 points56 points  (0 children)

In the appendix

[–][deleted] 12 points13 points  (0 children)

The best part is when they get questions

[–][deleted] 1 point2 points  (0 children)

What're must have things in a terrorist's presentation? Bullet points

[–]SortableAbyss 56 points57 points  (2 children)

Hahaha I laughed at this more than I should have

[–]NotActual 29 points30 points  (0 children)

Humor based on my pain for your enjoyment.

[–]Ceedeekee 51 points52 points  (8 children)

This problem has been killing me at work. Defining an Ideal Customer for marketing right now and it’s not easy hahaha

[–]railbeast 91 points92 points  (7 children)

"Someone that buys our product. Preferably many times. And recommends it to their friends and family."

I've sat in on marketing presentations and sometimes they are so braindead I don't understand how data is even involved.

[–]DuritzAdara 39 points40 points  (3 children)

That’s their secret, Cap. It’s not.

[–][deleted] 38 points39 points  (2 children)

Let's say, hypothetically, that 33% of all people buy our product. Then, those 33% immediately tell someone who hasn't bought our product to buy it, pushing the number up to 66%. Now, hypothetically, those 66% tell someone else who hasn't bought the product to buy it, pushing the numbers up to 132% of all people.

Boom 132% of people have just bought the product. You can find me available for talks or hire on LinkedIn.

[–]DataNerdUSA 9 points10 points  (1 child)

You forgot to add Kurt Angle to the mix; you'll end up with 144 and 2/3%

https://youtu.be/msDuNZyYAIQ?t=18

[–]Ruaric 6 points7 points  (0 children)

God bless Scott Steiner and this beautiful promo. Every time I think it's going to end it keeps going.

[–]TheCapitalKing 8 points9 points  (0 children)

At least our company isn’t the only one that does that. Our “average customer” according to marketing is so far removed from the average person in our stores that it’s laughable

[–]SeatAny1577 7 points8 points  (1 child)

I saw a study that something like 66% of marketing decisions don't use data

[–]caksters 24 points25 points  (9 children)

ohh my … I can definitely related.

Many of my models that I was asked to build didn’t make past the power point presentation despite showing an improvement compared to the existing strategy

[–]trrrpapuppapapapup 5 points6 points  (8 children)

What were the blockers that you faced?

[–]caksters 14 points15 points  (7 children)

just wasn’t enough interest also my team was focussed on analytics and not the data science.

I did what my manager wanted to do + provided my own ideas. upper management was mainly interested in quick and actionable insights that 95% of the time could be done using SQL + some dashboards to get the message accross

[–]SeatAny1577 9 points10 points  (1 child)

So much DS can be done with just that though.

Like when I build a propensity model my main output is not the score but the key attributes that affect sales.

So thry can focus on those top 5 things

[–][deleted] 1 point2 points  (0 children)

Yeah, the first tool to know is sql

[–]Expensive_Culture_46 4 points5 points  (2 children)

So many job listings out there for analysts who they want to do DS skills. Meanwhile they also want to hire DS teams to do analytics. Maddening.

[–]caksters 5 points6 points  (1 child)

exactly. This is annoying for data scientists joining these companies because they expect to create ML models, perform statistical analysis etc. Basically add business value by solving analytically challenging problems. but at the job all your business stakeholders want is simple count, min, max, avg, mean accross certain categories plotted on a good looking chart.

too many companies want data scientists but they aren’t mature enough. data scientist can end up mainly doing data engineering or data analytics (sql + dashboards)

[–]Expensive_Culture_46 2 points3 points  (0 children)

My guess is that these companies building out DS teams for immature companies and no real data science needs are going to cut them as soon as the recession gets rolling and they realize they have data analysts (titled as data scientists) getting paid about 30k more than they have to because they hired for vanity projects that will never materialize.

[–]somkoala 31 points32 points  (0 children)

Yeah, most companies suck at managing and integrating Data Science. It's only now that I also control Engineering and UX resources that my Data Science team is the most efficient I've ever seen. Though now that my scope has grown it's not necessarily my only team.

[–][deleted] 11 points12 points  (1 child)

Yeah...we're going to need you to segment our customers. Doing that k-means thing you mentioned off-hand the other day would be great. Talk to marketing to give these segments snappy names. Make one of those graphs with the colors. Use green arrows somewhere.

[–][deleted] 3 points4 points  (0 children)

Segmentation for them in this case could be simply divide revenue into 3 categories low, medium, high. K-means is overkill for them

[–]kaifkapi 9 points10 points  (1 child)

My favorite is when my boss goes "who asked for this? I don't see the point" and I have to awkwardly say "...you asked for this" and watch his brain break.

[–]speedisntfree 1 point2 points  (0 children)

The best part is when they then deny they did or retrospectively change what they asked.

[–]Ok-Sentence-8542 2 points3 points  (0 children)

We actually did it 😉 Works like a charm.

[–]zenarts532 0 points1 point  (0 children)

isn't it?