Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Top Data Analysts Must ‘Speak the Language of the Business’
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Top Data Analysts Must ‘Speak the Language of the Business’
AnalyticsJobsStatistics

Top Data Analysts Must ‘Speak the Language of the Business’

Brett Stupakevich
Brett Stupakevich
4 Min Read
SHARE

data analysts must speak the language of business photo (bi training)

Author: Linda Rosencrance
Spotfire Blogging Team

data analysts must speak the language of business photo (bi training)

More Read

Smarter Agent Performance Management
The Evolving Role of Analytics in Strategic Financial Management
The Driving Force Behind Big Data: Data Connectivity
Analytics: What’s Passion Got to Do with It?
CIO.com: R is a Big Data open-source technology to watch

Author: Linda Rosencrance
Spotfire Blogging Team

Analytics professionals do best if they can succeed in three types of skills: technical, business thinking and “intangibles,” according to Kaiser Fung (@junkcharts), Vice President of Strategic Analytics at Sirius XM Radio, and the author of Numbers Rule Your World: The Hidden Influence of Probability and Statistics on Everything You Do.

Fung points out that business thinking – how to teach data analysts to talk to the business in language the business understands – is often the hardest to develop because colleges and grad schools (outside of business schools) just don’t teach it. For him, intangibles are the hardest to find, mainly because it’s impossible to gauge them in an interview. 

In his book, Fung makes the case that even people who aren’t statisticians have to really understand what analytics can accomplish – and who better to help them understand than data analysts.

Fung says the whole field of business analytics is still developing—so much so that the average company isn’t really using them in the best way possible. And people in the field are still trying to use analytics to become more influential in the boardroom. In order to make a company operate more efficiently—a critical goal—BI professionals have to figure out how to effectively communicate their information to people who are not necessarily technical thinkers or quantitative thinkers.

Fung says that’s the only way to change anything in the business world because the important decisions are going to be made by people who either think intuitively or who are not trained in any quantitative skills.

But it’s not enough to teach the business folks the math so they’ll understand what the business analysts are talking about. So one of the big challenges is going to be to figure out how BI pros can speak to non-technical people in a language that works, which is one of the ways analysts can become more effective and help the business, he says.

Fung says the point of Numbers Rule Your World is that data analysts really should speak to people in English, and in the language of business as opposed to in the language of math and in the language of statistics. Of course the language of math and statistics is important for analyzing the data and reaching conclusions, but once analysts know what the insights are, they should look at communicating those insights in a way that’s different from doing the math.

That’s the challenge Fung is talking about—the challenge of communicating the findings.

“I think that’s where the statistics community has not done enough yet,” he says. “We are very obsessed with coming up with methodologies and coming [up with] new techniques that may be marginally better than the existing techniques. That stuff is great for academia and research, [but] you’re talking about practice and business interpretations.”

Bottom line: even though it’s a cliche, data analysts who want to make themselves even more invaluable to their companies have to learn “to speak the language of the business.”

 

TAGGED:analyst skillsanalystsRole of the Analyststatisticians
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News
data analytics for pharmacy trends
How Data Analytics Is Tracking Trends in the Pharmacy Industry
Analytics Big Data Exclusive
ai call centers
Using Generative AI Call Center Solutions to Improve Agent Productivity
Artificial Intelligence Exclusive
warehousing in the age of big data
Top Challenges Of Product Warehousing In The Age Of Big Data
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Changing Environment is Changing Analytics

6 Min Read

Analyst Skills are Hot

6 Min Read

How to Speak Like a Data Scientist

5 Min Read

The Emerging Role of the Analyst – Posts from the Blogosphere

1 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?