Information Logistics, from the collecting of raw data and information to the table of decision-makers, is a key part of any organization. It's a new topic, especially as data and information become more intertwined with cloud computing and storage. The idea of managing data in a way that brings together the necessary data at the right time, in the right format has long been a theme in systems administration. In this episode, Erin Pearson, together with Marc Vollenweider, Director & Co-founder, Evalueserve, and also Rigvinath (Rigvi) Chevala, Chief Technology Officer, Evalueserve, discusses how important the movement of information from data gathering, analysis, insights, and interpretation up to decisions and implementation in an organization.

📌Key Takeaways
✔️The importance of Information logistics for making decisions in an Organization.
✔️Storytelling as a way for easy communication of Data and Information
✔️Factors and Elements in Information Logistics
✔️Some Examples where Information Logistics are being done


📌Quote Takeaways in this Episode

📣“It's not enough to just provide someone with some information. You want this to be a community so that people can start talking about it.” - Marc

📣“The problem I see is that when we construct these (the system), all of these personalities, we need to cater to them and make them more effective so that the User can make informed decisions.” - Rigvi

📣“you need to have it (information and data) in a digestible format and people like stories as stories resonate with people very well.” - Erin







📌The Guests in This Episode

🎙️Marc Vollenweider | Profile
Director & Co-founder, Evalueserve

🎙️Rigvinath (Rigvi) Chevala | Profile
Chief Technology Officer, Evalueserve

🎙️Erin Pearson | Linkedin
Director GTM, Evalueserve



📌Time Stamp
[00:00] introduction
[01:15] logistics of Data Analytics, from Raw Data up to the Decision Maker
[10:03] Storytelling, another way to make data and Information digestible
[13:15] Factors and Elements in Data Analytics
[17:27] Cultural Element fitting in Data Analytics
[24:08] Trust Factor on AI Analytics
[26:29] Conclusion

This Episode is produced by Heartcast Media