• +1 888.396.AIML (2465)
  • wecare@aicg.com

Data Science: 5 tips on how my company should do it?

Share on twitter
Twitter
Share on linkedin
LinkedIn

The saying that no two companies run their business the same definitely applies on this topic. Providing advisory on Data Science and AI is what we do, and we’re good at it. So when a client or old-colleague bumps into me at a conference and any variation of the question “how do I start with data science at my company?”, I first collect myself, take a deep breath and pause before I geek out about this topic that is amazing. Then with calm poised self I ask, “Why do you think your company needs a data science initiative?”

That’s right. We shouldn’t all believe that every company needs to spend time, money, and resources on data science, data mining, or advanced analytics. But when the justification to do so can be rationalized with some strong people ROI or business ROI, then all lights should go green and here’s 5 quick tips that both rationalize and move an organization in the right direction.

#1 – Determine that What of Data Science?

#2 – Determine the Who of Data Science?

#3 – Consult and Expert – Even if Just an Hour

#4 – Talk Infrastructure First

#5 – Discuss Iterative Development, Maintenance, and Outputs

More to explorer

what is data subsetting

What is Data Subsetting?

One of the most important concepts in analytics, machine learning, and data science is to obtain a workable dataset to analyze, and

Scroll to Top