Decision Sciences: Marketing @RobbMacDonald
The “Decision Sciences: Marketing” blog offers an evolving exploration into how decision sciences enhance strategic decision-making #decisionscience decisionsciences.blog Palo Alto, CA Joined May 2024-
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ROAS and the Flaws of Linear Thinking in Marketing Spend Decisions #DataScience #bizML #Marketing wp.me/pfJJ4p-Y9
“Data Helps, People Deliver”: Reflecting on My Last 10 Years as a Data Scientist—and Looking Ahead to the Next 10 #DataScience #bizML #Marketing wp.me/pfJJ4p-L1
The Economy of Insights in a GenAI-Driven World: A Decision Scientist’s Perspective #DataScience #bizML #Marketing #DecisionSciences wp.me/pfJJ4p-Ur
The Power of Decision-Driven Analysis #DataScience #bizAI #Marketing wp.me/pfJJ4p-OC
The Executive Decision Series (Post 4): Avoiding Risks with Monte Carlo Simulations in Marketing #DataScience #bizML #Marketing wp.me/pfJJ4p-IN
From Insights to “Out-of-Sights”: How Decision Sciences and GenAI Help Drive Consistency #DataScience #bizML #Marketing wp.me/pfJJ4p-n9
The Executive Decision Series (Post 3): Transforming Decile Tables into ROI Powerhouses #DataScience #Marketing #bizML wp.me/pfJJ4p-Fu
The Executive Decision Series (Post 2): How to Read a Decile Table for Response Optimization #DataScience #Marketing #bizML wp.me/pfJJ4p-Ck
Drawing on HBR’s ‘Where Data-Driven Decision-Making Can Go Wrong,’ this post connects insights from the article to the ideas of ‘impact paths,’ ‘decision black holes,’ and ‘data ‘shoehorning.’ #DataScience #bizML #Marketing wp.me/pfJJ4p-wb
“500 Cats” or one “Tiger”? The promise versus the reality of data analysis and its role in driving actionable decision-making within today’s organizations. #DataScience #bizML #Marketing wp.me/pfJJ4p-Bv
“The Executive Decision” is a new series I’ve launched to bridge the gap between advanced analytics and actionable decision-making. Each post spotlights a new conceptand shows how it empowers smarter decisions #DataScience #bizML #Marketing wp.me/pfJJ4p-xx
My latest blog post explores the concept of impact paths—structured, traceable frameworks designed to connect data-driven insights to explicit business decisions and measurable outcomes. #DataScience #bizML #MarketingStrategy wp.me/pfJJ4p-pA
In my latest blog, I explore the ‘data veneer’—how surface-level insights and confirmation bias undermine data-driven decisions #DataScience #bizML #Marketing wp.me/pfJJ4p-pn
“From Meaningful Data Science to Impactful Decisions: The Importance of Being Causally Prescriptive.” A must-read for data scientists aiming to establish a new framework in decision sciences #DataScience #bizML #DecisionScience datascience.codata.org/articles/10.53…
… shaping data to fit preexisting storylines can be dangerous and undermine objective decision-making. We want to tell a story with data, for sure, but we can’t put the story ahead of the data and unbiased analysis #DataScience #Integrity #bizML #Marketing
Decision-scientists must guard against confirmation bias: the tendency to draw conclusions first and then seek data to support pre-existing beliefs, ignoring contrary evidence #DataScience #DecisionMaking #bizML #DecisionScience
What's the difference between model explainability, interpretability, and observability? Jason Zhong's debut TDS article outlines the nuanced distinctions you should be aware of. buff.ly/3LbvGiZ
Post 7: Bridging the Intelligence Value Gap: Advancing Decision Sciences with Predictive & Prescriptive Analytics decisionsciences.blog/2024/05/18/bri… #bizML #datascience #marketing
Post 6: Empowering Decision Science with GenAI: Enhancing Strategic Decision-Making decisionsciences.blog/2024/05/06/gen… #bizML #datascience #marketing
I launched a new blog series on the (r)evolution of data science and ML for enhancing decision-making in Marketing. New content drops next week. Catch-up on current posts below… decisionsciences.blog #bizML #datascience #marketing
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