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Data Science & the Data-Driven Culture
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@Lyndon_Henry  lol....just barely.  : ) 

Blogger

Much thanks to both of you! I feel reassured that humankind may yet prevail against the robots...

Blogger

Yes,  Thank you very much Josh and Ezmeralda .....hopefully you can come back sometime !   Really enjoy the chat ....have a nice day everyone !

Blogger

Thank you, great to speak with all of you

Prospector

I will say the transit authority I worked at could have used some of that data-driven culture that Josh & Ezmerlada have been preaching...

Blogger

Thanks everyone.    Hope you can make use of the ideas and experience for your business.

Prospector

@Lyndon_Henry   It would be nice (refreashing) to see a data-driven culture in action.  I don't know what most companies are doing ?   I guess it is call a "revenue-driven culture" at most.

Blogger

@David Wagner - yes agree!    

Prospector

Looks like we are winding down. Josh and Ezmeralda, thank you for a great presentation. And, thanks to everyone on the chat board. Have a wonderful day.

Editor

OK, I would like a tour of Booz-Allen-Hamilton to check out whether their data-driven culture actually fits what I've been imagining...

 

Blogger

Jim writes

==That "weird zany" techie on crime shows probably is so they can keep the cops themselves as "serious" pros.==

 

Probably true, but that's how the TECHIES (i.e., "data scientists") are portrayed. And it does seem close to what I'm envisioning of data-driven culture from what Josh and Ezmeralda have discussed.

Is this getting close? And does it fit within the overall "culture" of most companies?

 

Blogger

Only a few minutes left in the hour. Any final quesstions for Josh and Esmeralda?

Editor

Not trying to be sarcastic here-- There's a much more interesting discovery of the business than something that provides top line growth?

Editor

@joshua   I am going to check out your company, sounds like you get it !  : ) 

Blogger

@eth0- Thanks for stopping by and good luck.

Editor

@etho  Take Care !  Talk to you later ! 

Blogger

Sorry friends My hour is close to fisnish. We see you in other time. Good Luck

Prospector

@David - Management is usually investing (at first) in Data Science or similar name because they believe in the potential for upside (top line growth, bottom line savings).     

So I'm a strong advocate of not missing the "On Ramp" to an Analytics-Driven culture---which is applying real science and discipline to a business domain.    That will lead to much more interesting Discovery for the business in my experience.  Does take a strong advoate and resistance to being measured initatially.

Prospector

@Lydon. That "weird zany" techie on crime shows probably is so they can keep the cops themselves as "serious" pros.

Editor

 @Lyndon_Henry   Nice catch.  I have noticed these shows as well - refuse to watch them as I know they are painting how "data scientist" are to be precieved.  Hollywood has no place in real world applications for the most part.

Blogger

@Jim, how often really depends on changes in business drivers, number of business lines taking on data science, maturity and size of the organization.  No one answer but considerations on how to make the selected model successful

Prospector

@Jim - I don't go through HR to hire :-)    

In all seriousness though, yes we have very tailored ways of crafting our data science positions.    Usually, we'll hire someone based on thier potential to be a data scientist, but that is now how they enter our business.  They enter as Computer Scientists, Mathemtician, Consultant, etc, and begin the journey toward data science team.

 

Prospector

@josh- Interesting. So you don't look at the finding the data for question only, but also allowing the data to dictate the questions. That's real science. How does management usually respond to that?

Editor

Notice that a lot of the TV crime shows with lots of high-tech forensic science (i.e., analytics) have kind of weird, unconventional, even zany (i.e. creative) characters. Maybe a snapshot of a "data-driven culture"? But is that realistic in the real business world?

Blogger

@Ezmeralda. Any sense of how often a company needs to re-examine the structure of that analytics team, so it evolves with time?

Editor

@Robert  Arvanitis    I see.   I think we speak of think of it (creativity) differently.   What you speak of in my mind is innovation which of course it just a larger aspect of creativity.   I like the thought of a systematic approach to introducing changes and comparisons, but in my mind as soon as you apply a "system" the trueness of creativity is lost.   

 

I finally figured out that is why I don't write my jokes down either.  : ) 

Blogger

@David Wagner - yes, matching the right Questions, Data, and People at the same time is so hard!   We never count on having the right data.    First step in Data Science is ALWAYS Data Janitor, basically trying to fill gaps, reduce question scope to match available data, interpolate, etc.     Questions always evolve, so never count on having the right question to start with....  but to get the Culture right, always insist on having the right people.

Prospector

The right model for a data science team depends on the size and complexity of the organization as well as your current business drivers.  You may start with one model (i.e., centralized) and evolve to another over time

 

Prospector

Josh. Have you considered telling HR: "Put 'curiosity' at the top of the job posting?

Editor

Jim writes

==There's some type of balance to be found between data and intuition/experience. They have to work together.==

 

Seems to me data-driven culture involves understanding that and effectively integrating...

 

Blogger

So I think we've talked a lot about that data science culture. And we've talked a fair amount about spreading evangelism. But it seems to me the hardest part of data science is always that conenction between the decision and the data needed for the decision. How do you prepare your culture to making sure you are putting the right data in the hands of the right people and the people making the decisions want the data to begin with?

Editor

To help develop our own data science teams and those of our clients we developed a data science competency model.  Basedlined against our data scientists and found that  innovation, creativity, curiousity, and perserverance were integral to their skills

Prospector

Would an organization's structure play a part on the effectiveness of a data science team? Also, which would work better - a centralized team that's deployed based on projects? Or a decentralized model, as @EKhalil said?

Prospector

Lyndon. I'm with you. There's some type of balance to be found between data and intuition/experience. They have to work together.

Editor

Josh writes 

==humans have incredibly strong ability to see patterns that computer cannot see.==

Yea!

Blogger

The conversation reminded me of a favorite quote of mine:

Everyone you'll ever meet knows something you don't.       (Often attributed to Bill Nye)    Makes me think there is a reason to have a "big tent" data science skills / background approach to finding staff, provided they have the curiosity and relentlessness needed.

Prospector

@louiswatson.  Well, at least a framework for creativity.  Like "Analogies, Metaphors, Perspective."  A systematic way to introduce changes, and comparisons.  Idea is to not overlook something because the current way is too embedded in our thinking.

Prospector

I've been arguing for years now on A2 that there's a role for human skills, like, say, creativity and intuition. But the robots have been marching inexorably from over the horizon...

Blogger

Enjoy the link as well...looking forward to reading it.

Blogger

For companies just starting with data science, considering a centralized model can work best to start building a cadre of data science capabilities.  Then organizations can think about diffused (matrixed) or deployed (decentralized) models over time

Prospector

ditto what @Lyndon_henry said

Prospector

To the question about reasoning:

Inductive reasoning to find patterns – humans have incredibly strong ability to see patterns that computer cannot see. Inductive reasoning lets you form hypothesis and Ask Bigger Questions.

Deductive reasoning brings in the science – the ability to perform a data experiment and test the hypothesis.]

The ability to move between these (it takes practice!) is so important to a real data science team.

Prospector

Downloaded the book — looks interesting. Thanks to B-A-H for publishing it & making available.

Blogger

@Robert Arvaitis   Sounds like an oxymoron to me ....structure "creativitiy" ?

Blogger

I have to admit that the idea of data science beig a "craft" is new to me, but it makes a lot of sense.

Editor

@louis- True, HR likes to operate by checklist. Especially with hundreds of resumes coming in, they seem to kick resumes out by rote.

Editor

Here are some thoughts about Data Science:


· The value of data is unknown until you ask a question of it...

· Machines do Analytics, Humans do Analysis
Analytics: execute algorithms, reading, detail awareness, comprehension
Analysis: reserved for humans and cognition, imagination, reasoning, inference, creation

 

Prospector

Creativity seems to be a major component of data-driven culture. But aren't some companies actually resistant to it?

Blogger

How do we first begin to form hypothese, when seeking correlations?  Is there a way to systematize, or at least structure, "creativity?"

Prospector

Where are these companies that are looking for the base skills ?   And how do you get by HR which is only looking at the unrealistic expectations of the job listing ?

Blogger

There is a lifecycle for data  models/analytics, can you tell us from your experience of companies doing this right what skill sets they have for the early discover data scientist, vs the maintain models, and best practices for operationalizing analytic models.

 

Prospector

Thank you both for your time the insights will be very helpful moving forward. 

Prospector

Ja, ja, ja, ja.... :-)

Prospector

If anyone raised questions that didn't get answered on the audio portion. Please feel free to repeat them.

 

Editor

I see a number of thoughts on how to learn data science in both training and university settings.   Columbia Univ in NY, Stanford, Coursera, and ExploreDataScience.com are all great resources that I've seen used.   Some are classroom based and others are "learn by doing" as others have pointed out.

 

Prospector

@ethO  But you hang in there !   Nothing can keep a a good man (or woman) down !   You can and will do it !  

Blogger

Thank you for your time.  Very much enjoyed talking with you

 

Prospector

Looking forward to the text chat. I feel like we've opened a lot of interesting lines to talk about. I, for one, would love to know how you interview and recruit for the kind of relentless curiosity we talked about at the beginning of the show.

Editor

Booz Allen Hamilton long established company  -- does lots of work for public transit agencies...

Blogger

thanks everyone....great info and discussion.

 

Prospector

Great to talk with everyone.   The Field Guide to Data Science is free and online (no registration or anything required) at http://www.boozallen.com/media/file/The-Field-Guide-to-Data-Science.pdf 

 

Prospector

given what Josh said - wouldn't data science be based mainly on the coefficient of determination or analytics along that line of thought?

Prospector

Would it be possible to share the link of the book mentioned in the talk?

Prospector

@ethO   Oh gheez,  You do need work....well this listing is in L.A.   Doesn't sound like you are close ?

Blogger

Be sure to give URL for the free book...

Blogger

Thanks for coming, Katfree. I'll try to do some researcha nd do an article on NGOs and data science.

Editor

What is the best way for a seasoned experience IT Enterprise Application Consultant with strong business domain experience to get onto roles as Data Scientists to build upon the existing experience.

I think getting real time experience through Hadoop, No SQL and R to gain market insights, consumer purchasing pattern.

 

Want to hear from experts.

 

 

Prospector

What was that book title again?

 

Prospector

@lyndon- I'd imagine they would. But some companies seem to rotate people around the business quite a lot. I've never been at a company like that, and I've often wondered how it works. Seems like you run the risk of moving people from places they are succeeding to places that they might fail.

Editor

Unfortunately, I have to jump off for a conference call.  I would be interested in a follow up conversation if anyone has any ideas on how a NGO can pay for data scientists.  Even the curious people in NGO's have other jobs and can't dedicate the time to data mining.  Great conversation though! Wish I could stay on!

Prospector

Yes Sir! I need the money I only earn now 50 USD at month. To pay the internet that cost to me 5.00 every hour, I have to restrict a lot of things in my life.

Prospector

As they rotate, they'd have to get up to speed really fast in the different business lines ... right?

Blogger

This notion of analytics advocates, "story-tellers", etc. is very interesting...

Blogger

Have data scientists reached the point where they are specializing in certain technologies or platforms? Or does the term assume a familiarity with most of the verious databases and tools?

Prospector

@David    I am looking for a company like that .....never so lucky though

Blogger

How do we grow and develop curiosity and creativity ?

Prospector

rotation is a great way to increase understanding and creativity

Blogger

@katfree- I get that. What I've discovered is that there are a lot of people with no experience in that but with good intellectual skills who can be drafted to do it. i've met data science folks that started with all kinds of backgrounds who just found their way into it through their own curiosity.

Editor

@KatFree I agree - a lot of data floating around. Not that many people who can put it to good use.

Prospector

It isn't the access to data that is the issue - its the access to people who can mine it, interpet it, and apply it.

Prospector

@ethO    Serious ?   I will post the link .....

Blogger

Luis Watson, I'm iterested in a job!

Prospector

@katfree- I'm amazed at how many great open source data sets are out there, especially from the federal government. You can do a lot with a little when you have a creative use of open source data.

Editor

@Bill- Agreed. Good motto for this type of person.

Editor

Sopunds like data science culture means a lot of tolerance (and expectation) of creativity, unconventional, nonconformist. Without threat of proverbial pink slip ...

Blogger

Change really is the key and it comes from effective commuinciation

Blogger

"Learn by Doing" is the school motto for Cal Poly San Luis Obispo, CA. They'd be a great university to look for data scientists coming out of university. 

 

Prospector

Triplicorn? Trunicorn?

Prospector

How does a non-profit (NGO) organization get access to data science resources. They simply don't have resources to develop teams on their own.  Any suggestions?

Prospector

OK, how does rotating the data science staff among the different business lines actually work (i.e., look like) in practice?

Blogger

Hi everyone. Seeing a lot of interesting questions. Looking forward to some of the answers.

Prospector

@Rodney  So could the A's and Dodgers ....ugh

Blogger

Wouldn't a triple threat uncorn be a tricorn? :)

Editor

How do you get senior management to understand the value of creativity? And be able to recognize it?

Blogger

The Red Sox could have used a triple-threat unicorn this season. /sigh/

Prospector

Interpetation is really a big problem regardless of the organization doing the analysis. I think a big problem is that most organizations don't understand the connection between the data and strategic direction.  It's even worse in social services.

 

Prospector

Wow .. a triple-threat unicorn?

Blogger

The broader organization. Yes. How do you get senior managerment involved in your data science initiatives?

Editor

I saw a listing for a Data Scientist role recently and they wanted you to have had work in one or more of the following: NOSQL, Hadoop, Hive, Pig, MapReduce, or other similar tools, Databases and/or data models (Graph databases, semantic frameworks etc), Statistics (Regression, Clustering, Decision trees, Hypergraphs etc), Simulation, scenario analysis, modeling

Blogger

Democratizing analytics ... I like the sound of that...

Blogger

No the audio is dead. I'm trying in yahoo also and is the same.

Prospector

Sorry guys. Lost audio for a minute. My connection has been wonky in my house today.

Editor

@Lyndon_Henry  lol.....Thank Goodness for the Safety Net !

Blogger

@lyndon- You are right, which is why finding a company willing to accpet failure on the way to success is so important.

Editor

Personally, I'm not all that worried about data scientists hiring people like them in comparison to the "gut" manager. But obviously, I prefer diversity.

Editor

Repeated failures will help get you unemployment insurance benefits...

Blogger

@lyndon_henry- With all due respect to Watson, i tis great at finding the patterns it is trained to find. It can't yet just look at something it has never been trained to look at and "get it." People sometimes can.

Editor

re: failure     I have been learning alot then !  : ) 

Blogger

@Josh lots of trial and error...

Prospector

relentless! Yes, that's another skill I love in people.

Editor

..

Humans better at pattern finding than computers?! Watson may disagree with that...

Blogger

I can't install nothing here in the cybercafe there are a lot of restrictions in the operating system. I'm sorry. I downt have other place to go.

Prospector

@David   We both would but we have a small problem called HR.    They don't think like this at all....

Blogger

@louis- yup, I'd love to know how you look for that in an interview setting. Some people naturally display it. but others don't.

Editor

Hi Fazil ..Welcome !

Blogger

welcome, fazitharron. Hop right in the chat.

Editor

Curiosity and reasoning .....I like that .....really looking for basic abilities first ....sounds smart to me.

Blogger

I'll take a smart, curious worker over a qualified one any day. Obviously, both are ideal.

Editor

Hi All,

Glad to join you today.

Prospector

Curiosity! Yes! That's the thing i look for most in any worker. Totally overlooked.

Editor

@eth0- Try refreshing your browser. Sometimes the player needs that to start. Also, you might have to push the play arrow.

Editor

Sorry but I don't listen nothing from here

Prospector

Oops, sorry for the double post. Thought I failed to post the first one

Editor

Just about 10 minutes to go.

Prospector

Welcome, Maryam. I hope you enjoy the discussion. Feel free to share any questions that you may have for Josh and Ezmeralda.

Editor

Good afternoon everyone!

Blogger

Josh will be joining us in just a few hours.

Editor

Looking forward to talking about Data Science & the Data-Driven Culture with everyone.

Prospector


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