I am proud to announce the official launch of Right Brain Data, a different kind of Data Science consulting service.
We help companies improve their Analytics ROI by taking a Right Brain approach to Data Science. 🧠
Learn more at https://t.co/Z0UoqaqLCb.
I recently signed up to be a host on Flow Club: https://t.co/VMjQPtk27w
I've found @flowdotclub to be an extremely helpful service to help me prioritize deep work while providing accountability and community.
An #AtoZ guide to #RightBrain#DataScience:
C is for #Clarity.
Clear documentation, code, and visuals enable data science projects to be easily understood, replicated, and used as building blocks for other projects.
Aim for a "clear crate" instead of a "black box".
Data analytics has great power when it is built on first-principles thinking, analytical rigor, and domain knowledge.
Learn more and schedule your free consultation today:
https://t.co/jVFCwfMdxC
The dark side of Data Science:
ML models fail to deliver their promised accuracy...
Key insights in the data are never uncovered...
VentureBeat reported that 87% of Data Science projects don't even make it into production!
A #RightBrain approach to #DataScience builds trust and connection with the business objective from the start to ensure that solutions are targeted, sustainable, and impact the bottom line.
An #AtoZ guide to #RightBrain#DataScience:
B is for Balance.
The Bias-Variance Tradeoff. Exploration vs. Exploitation. Predictive Accuracy vs. Model Interpretability.
The optimal position often is a place of #Balance somewhere in the middle, depending on analysis goals.
"A player who does several things well will always be underrated compared to a specialist."
@billjamesonline wrote those words in appreciation of Dwight Evans, but the same is true in business. Don't sleep on the #generalists! #RightBrain#DataScience
https://t.co/gV2wlnfk1y
Data Analysis Re-Use > MLOps
Systems of data analysis re-use (including the "one-off" analyses not covered by MLOps) reduce the friction of information flow 🌊 through an organization, accelerating the transformation of data into value. Great post!
https://t.co/3EW0drJoA2
Data Scientists are not typically considered storytellers. Some would even take offense at such a description.
But effective #DataStorytelling is often necessary to drive change with #DataScience.
Thread:
Don't make data-driven decisions.
Instead, make data-informed decisions that integrate data analysis, intuition, and domain knowledge.
The great book "Burn Your Boats" by @mhiggins calls these "gut sandwiches".
I call it #RightBrain#DataScience.
https://t.co/GOVJ3bk7wT
How much is your data worth?
Given the billions of dollars organizations spend on collecting, organizing, cleaning, integrating, and analyzing data, it's an important question to consider.
https://t.co/S5stbfUK42…
#RightBrain#DataScience#AnalyticsROI#SoWhat
@CaitlinClark22 recently broke the NCAA scoring record that had been held by Pete Maravich since 1970.
Less appreciated is Clark's court vision and passing ability. This incredible play is just one example.
Elite performers are rarely one-dimensional.
https://t.co/ekmxf7yN8g
Are you measuring what matters in your Data Science projects?
Thinking critically about the metrics you're trying to optimize is one of the foundations of #RightBrain Data Science. It's one of the biggest levers you can pull to increase your #AnalyticsROI.
#MeasureWhatMatters