A5: Yes but would have to be adapted to the needs of a #datascience project. A project manager should be knowledgeable about the extra limitations that are introduced when dealing with such projects and be able to communicate that clearly to projects’ sponsors. #saschat

Q3: Why do only 25% of #datascience professionals follow a formal project implementation methodology, according to a recent survey? #SASchat

A1: Like any other project it needs to have a beginning, an end date and important milestones. It’s very important also to have clear expectations from the projects’ sponsors about expected benefit and flexibility for models’ refinements or methodology reviews. #saschat

Hello and welcome to our chat - please introduce yourself and don't forget to use #SASchat and #DataScience in all your tweets to be a part of the conversation.

David Weik SAS Forums rather with the flow #SASchat and #DataScience

A2: I think we are in agreement on this question - we have all felt the pain in the past probably 😂 #saschat #datascience

A2: It’s critical to take your stakeholders on a journey with you and communicate challenges as you go along. You should also make efforts to explain in simple way the techniques that are used to gain the trust you need to put your project into production. #DataScience #saschat

Q5: Can the adoption of a formal project management methodology improve the implementation of #datascience projects, or are there other factors at play? #SASchat

Q1: Do you use a certain method when implementing #datascience projects? #SASchat

David Weik #saschat good point!

Q2: What is the role of communication and interpersonal issues in the success of #datascience projects? #SASchat

Hellos #saschat people, are we ready? :D

Markus Weick SAS Forums Do you follow a methodology when prototyping or do you go with the flow? #SASChat #DataScience

Great discussion today #SASchat team! What final thoughts would each of you like to share before we close up this chat? #DataScience

David Weik Hi David, I am Markus also from a sunny part of Germany.
#SASchat and #DataScience

David Weik A4: Isn't this true for all subjects? #SASchat and #DataScience

A3: Data Science is not really mature as a stand-alone field. It borrows things from statistics, CS, business, and the field domains. You can imagine who the data scientist actually is, not necessarily a formal CS person who
knows an IT/Software methodology #SASChat

A1: I try to, but I find myself often skipping steps and then regretting it afterwards but it is always tempting to just go ahead and skip things. But especially when collaborating with others then methodology becomes more important #DataScience #SASChat

Hi All, David from sunny Germany checking in - if you haven't already please check out my SAS Communities article on this topic as well communities.sas.com/t5/SAS-Communi…
#SASChat #DataScience

A3: One reason might well be that they aren't though in university (as far as I'm aware) and Data Science often is more of an individual then a team sport so following a methodology isn't as appreciated as it should be #SASChat #DataScience

Try out some methodologies and see what you works for you and what doesn't. It is always great to gain more insights on how to work I think - if you are looking for a good starting point check out communities.sas.com/t5/SAS-Communi… #SASChat #DataScience

Hello from sunny Greece ☀️ #saschat

A2: It is everything! Often times you need communication just to get up and running with the project (data, platform access, etc.) and then to make a project a success you need to be able to communicate & share the results #DataScience #SASChat

Insurance modernization spans the spectrum from unlocking growth potential, protecting profitability and becoming more resilient. Join our next #SASchat to hear from past and present SAS Hackathon teams how #analytics is powering this journey. 👉2.sas.com/6012OFecE #insurance

SAS Forums #saschat it affects but it's not only the root of the problem, you can learn it but then you have to put in action in any company, so the processes in every #datascience department should adopt it

A5: As with any methodology it can lead to productivity and consistency gains but can crush innovation and flexibility so balance is key and depends on the business context (how regulate are you) #SASChat #DataScience