Data science: What does it mean and how is it best applied?

Data science: What does it mean and how is it best applied?

While data science (along with its associated tools, utilities and applications) is a hot topic in the tech world across innumerable facets of industry, there’s still a large degree of uncertainty as to just what data science means, and how it can best be applied.

At the Chief Data Scientist, USA event in San Francisco, CA, Assad M. Shaik, head of Enterprise Data Science for Cuna Mutual, joined Jeff Frick (@JeffFrick), co-host of theCUBE*, from the SiliconANGLE Media team, to talk about data science as it’s commonly seen and as it really is.

As Shaik explained, his focus at the event was to clarify understanding of what data science actually is. Noting “a lot of confusion” about whether it’s a new name for analytics, advanced analytics or something else entirely, his goal is to speak frankly and clearly enough for attendees to his panels to gain a better understanding of the challenges and goals encountered by data scientists on a daily basis.

As part of this examination, he’s looking at both the experiences encountered by customers and the revenue growth that can be gained by applying analytics to those customers. He’s also providing some insight into the new skill expectations being encountered by data scientists and the reasons behind those changes.

In Shaik’s estimation, sales skills and a grasp of marketing have become “essential” for a data science group to find success.

 

Share it:
Share it:

[Social9_Share class=”s9-widget-wrapper”]

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

You Might Be Interested In

Why banks should stay well clear of blockchain

25 Apr, 2017

If the financial services industry is banking on blockchain as the basis for new service innovation, it will be sorely …

Read more

Edge computing in hybrid cloud: 3 approaches

5 Nov, 2020

Hybrid computing in general has a great deal in common with hybrid computing that leverages edge computing. But you need different partitioning approaches for …

Read more

How to Design an Efficient Data Quality Management Strategy

23 Apr, 2018

In this age of digital revolution, organizations deal with large volume of data and information emanating from various sources. To …

Read more

Do You Want to Share Your Story?

Bring your insights on Data, Visualization, Innovation or Business Agility to our community. Let them learn from your experience.

Get the 3 STEPS

To Drive Analytics Adoption
And manage change

3-steps-to-drive-analytics-adoption

Get Access to Event Discounts

Switch your 7wData account from Subscriber to Event Discount Member by clicking the button below and get access to event discounts. Learn & Grow together with us in a more profitable way!

Get Access to Event Discounts

Create a 7wData account and get access to event discounts. Learn & Grow together with us in a more profitable way!

Don't miss Out!

Stay in touch and receive in depth articles, guides, news & commentary of all things data.