Richard Golian: Business Intelligence, Automation and Performance

Hello, my name is Richard Golian, and I would like to introduce you to my main activities in the field of E-commerce.

Me (Richard Golian) and my colleague at the summit of Slovak e-commerce leaders. 6.6.2024

Business Intelligence

• BI project leadership and management
• Improving data quality, accelerating the flow of bad news
  • Read more at: Disaster! Messy Data, Misinterpretations, and Nonsensical Actions
• Development
  • Read more at: AI's Unexpected Role in Enhancing My Coding Skills
  • I built my own analytics
• Corporate data protection
  • Read more at: Irresponsible Sharing of Sensitive Data with AI
• Applied statistics
  • Read: I’m Surprised by the Confident Use of Words Like Certainty and Causality

Talent Acquisition and Development

• Team development
• Headhunting
  • Read more at: What do I look for in potential colleagues?

Practical interviews at Mixit s.r.o.: PPC and Data

Performance Management:

Marketing and Advertising

• Decision-making
  • Read more at: Decision-making and probability
  • When it comes to mistakes, I see two types of people: those who hide them and those who harshly critique themselves. But do we even know what a mistake means? Read more
• Problem-solving
• Growth management
• ROI (Return On Investments) optimization
• Analysis of advertising accounts to identify errors and opportunities
  • Read more at: What Is Performance Marketing?

Blending Technology and Phenomenology: My Unique Approach

• Phenomenology of Understanding
• Applied Phenomenology

Currently, my main activities involve applying phenomenology. I conduct qualitative research that is difficult to summarize in a few sentences. Similar to mathematics or physics, understanding phenomenology requires investing time and effort. Broadly, my work focuses on how we perceive and understand the world around us. Phenomenology offers a unique perspective on examining the layers of meaning that underlie our interactions with the world, especially in areas where traditional analytical methods fall short.

Anyone who would like to know more about it can contact me via LinkedIn, X or email mail@richardgolian.com.

If you have any thoughts, questions, or feedback, feel free to drop me a message at mail@richardgolian.com.