Tips for Data Scientists: Think Like a Business Executive

Tips for Data Scientists: Think Like a Business Executive

Tips for Data Scientists: Think Like a Business Executive

I spend a lot of time helping organizations to “think like a data scientist.” My book “Big Data MBA: Driving Business Strategies with Data Science” has several chapters devoted to helping business leaders to embrace the power of data scientist thinking. My Big Data MBA class at the University of San Francisco School of Management focuses on teaching tomorrow’s business executives the power of analytics and data science to optimize key business processes, uncover new monetization opportunities and create a more compelling, engaging customer and channel engagement.

However in working with our data science teams, I have come to realize that we also need to address the other side of the data science equation; that we need to teach the data scientists in order for them to think like business executives. If the data science team cannot present the analytic results in a way that is relevant and meaningful to the business (so that it is clear what actions the business leaders need to take), then why bother.

Read Also:
Why You Should Already Have a Data Governance Strategy

In order to engagement more effectively with the business users, here are a couple of key points that the data science team needs to understand as they conduct their analytics:

The data science team needs to understand thoroughly the key decisions that the business users are trying to make. Then, the data science team can present where and how the analytic results can help the business users make better decisions.

As part of ensuring that the analytic results are relevant and meaningful to the business, it is also critical to tie the analytic results back to the organization’s key financial or business drivers. Figure 1 shows an example of linking the analytics to the organization’s key financial and business drivers around the following business decision:

Which customers should receive which promotional offers?

The Harvey Balls in Figure 1 show the relative impact that the promotional offer analytics would have on 6 key financial and business drivers in support of the customer targeting business decision.

Read Also:
Are CMOs and their data scientists having the right conversations?

 



Data Innovation Summit 2017

30
Mar
2017
Data Innovation Summit 2017

30% off with code 7wData

Read Also:
Are CMOs and their data scientists having the right conversations?

Big Data Innovation Summit London

30
Mar
2017
Big Data Innovation Summit London

$200 off with code DATA200

Read Also:
Predictive Marketing: The Next Must-Have Technology for CMOs

Enterprise Data World 2017

2
Apr
2017
Enterprise Data World 2017

$200 off with code 7WDATA

Read Also:
‘Rogue Algorithms’ and the Dark Side of Big Data

Data Visualisation Summit San Francisco

19
Apr
2017
Data Visualisation Summit San Francisco

$200 off with code DATA200

Read Also:
How to Avoid a Loveless Business Intelligence Relationship

Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
Rise of the Machines: Artificial Intelligence Over the Next 20 Years

Leave a Reply

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