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The Data Science struggle – the Dilbert way.

By November 6, 2016February 21st, 2024Data Science, Technology3 mins read
Data Science struggle

The moment I finished my previous post on the possible reasons for the Data Science struggle at organizations, I could not but resist my search for the quintessential Dilbert strips that brings in sanity to most of us. Here are some of my favorites to laugh it out.

As much as the world experiences amazing possibilities across diverse fields with Data, these Dilbert strips are sort of a unfortunate black humor with the way many of the organizations are struggling with their Data Science vision, approach and talent.

After discussing the potential reasons behind the struggles organizations face in implementing data science, it’s important to take a moment to lighten the mood. The iconic Dilbert comic strips have a way of bringing a sense of sanity and humor to the challenges we encounter. Let’s explore some of my personal favorites that shed light on the struggles organizations face in their data science endeavors, allowing us to have a good laugh while reflecting on the realities.

In the world of data science, where the possibilities seem endless, these Dilbert strips serve as a bittersweet reminder of the unfortunate situations many organizations find themselves in. They capture the essence of the struggles organizations face when it comes to their data science vision, approach, and talent.

The strips often portray scenarios that highlight the complexities of data analysis, unrealistic expectations, and the clash between management and the data science team. They satirize the challenges of obtaining clean and reliable data, navigating through data governance issues, and the sometimes questionable decision-making processes within organizations.

Despite the humor, these Dilbert strips also serve as a gentle reminder of the importance of addressing the issues faced by organizations in their data science initiatives. They highlight the need for organizations to invest in building a strong data science culture, fostering collaboration between business and data science teams, and providing the necessary resources and support to drive successful data-driven initiatives.

While the strips may bring a smile to our faces, they also underscore the urgency for organizations to overcome the struggles and seize the opportunities that data science presents. With the right strategies, alignment, and investment in talent and infrastructure, organizations can harness the power of data to drive innovation, make informed decisions, and gain a competitive edge.

In conclusion, the Dilbert comic strips provide a lighthearted perspective on the challenges organizations face in their data science journeys. By embracing these challenges and addressing them head-on, organizations can transform their struggles into opportunities for growth and success in the data-driven world. So, let’s appreciate the humor, learn from the lessons, and work towards creating a more effective and prosperous data science landscape in organizations.


Dump the Jargons.




Garbage in Garbage Out. 



Access to Data.


Data Science Organization.


All comics are sourced from