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Decoding the Future: The Art and Science of Analytics in Business

Decoding the Future: The Art and Science of Analytics in Business

Update: 2024-01-05
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Description

In this episode of the Plain Sight podcast from Invisible Technologies, Stewart Alsop welcomes guest Paul Jerajian, the Director of Analytics at Invisible. They delve into an engaging conversation about the role of analytics in business and its evolution. Paul explains how Invisible's focus is to understand complex business operations, identify processes, and determine the tasks the team dislikes for optimization.


A highlight of the conversation includes Paul's definition of analytics and his thoughts on data, information, knowledge, and wisdom. They also discuss the impact of AI, how data can predict patterns, and the significance of understanding a business's past and goals for efficient analytics. The conversation wraps up with Paul emphasizing the need for open communication within a team to foster innovation and improve processes.


If you have GPT4 access check out this GPT that we trained specifically on this episode


Time Stamps


00:00 Introduction to the Plain Sight Podcast

00:04 Understanding Invisible Technologies

00:22 The Philosophy Behind Invisible Technologies

00:52 Invitation to the Podcast

01:10 Interview with Paul Jerajian, Director of Analytics

01:21 Exploring the Concept of Analytics

02:14 The Relationship Between Data and Knowledge

03:44 Common Misconceptions About Data and Analytics

05:04 Translating Business Problems into Data

08:21 Understanding the Role of Analytics in Invisible Technologies

10:32 The Importance and Challenges of Dashboards

11:58 Exploring the Future of AI and Analytics

16:42 The Role of AI in Understanding Human Thought and Language

21:21 The Concept of Creating in AI

27:31 The Predictive Power of AI

28:20 Understanding the Role of Prediction in Science

30:03 The Challenges of Predictability in Analytics

31:36 The Scale of Prediction: From Universe to Business

32:11 Exploring the History and Evolution of Analytics

33:15 The Cross-Disciplinary Nature of Analytics

38:02 The Role of Analytics in Goal Setting and Measurement

38:20 Dealing with Unmeasurable Aspects in Analytics

42:14 The Importance of Understanding Company History and Future Goals

46:40 The Challenges and Benefits of Remote Work in Analytics

48:27 The Value of Personal Interactions and Riffing in a Remote Environment

53:24 Closing Thoughts and Contact Information


Key Points



  1. Definition of Analytics: Paul Jerajian defines analytics as the science and understanding of using data to make decisions or to understand patterns.




  2. Data to Knowledge: Jerajian discusses the progression from data to knowledge, emphasizing that any piece of information or existence contains data, which, when analyzed, can lead to patterns and, subsequently, a deeper understanding and knowledge.




  3. Common Misconceptions: Many people have misconceptions about data, often viewing it as a magical solution that automatically provides answers. Jerajian clarifies that data requires iterative understanding and analysis to unlock its true potential.




  4. Business Problem Translation: He explains the importance of conceptualization before using data analytically in businesses. Understanding what to track, measure, and analyze is crucial for effective data use.




  5. Role of Dashboards: Jerajian talks about dashboards, describing them as both a blessing and a curse. Dashboards summarize insights from data points, usually in a visual format, aiding in pattern recognition and decision-making.




  6. AI and Sensory Data: The conversation touches on the potential of AI in interpreting sensory data and its implications, such as AI's ability to predict or infer human thoughts and behaviors.




  7. Limitations and Challenges in Analytics: He highlights the limitations in analytics, especially in predicting business outcomes for companies with variable growth or those that are relatively new.




  8. Analytics in Business: Jerajian emphasizes the cross-functional nature of analytics in business, where it can aid various departments, from operations to finance.




  9. Learning and Communication in Remote Environments: The discussion also covers the challenges of remote work, particularly in fostering immediate, spontaneous communication and learning.




  10. Personal Approach to Analytics: Finally, Jerajian shares his personal approach, which includes understanding the history and goals of a business, fostering personable communication, and being open to learning from others' experiences.



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Decoding the Future: The Art and Science of Analytics in Business

Decoding the Future: The Art and Science of Analytics in Business

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