Driving Behavioral Change for Information Management through Data-Driven Green Strategy (EDW 2024)

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented “Driving Behavioral Change for Information Management through Data-Driven Green Strategy” on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. 

In this presentation, Majumder and Aguilar Islas discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization.

In this session, participants gained answers to the following questions:

  • What is a Green Information Management (IM) Strategy, and why should you have one?
  • How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? 
  • How can an organization use insights into their data to influence employee behavior for IM?
  • How can you reap additional benefits from content reduction that go beyond Green IM?

Slide Deck

Urmi Majumder Urmi is a Principal Consultant and hands-on architect with broad experience across many areas of technology including semantic data engineering, machine learning, application development, databases, search engines, analytics, infrastructure, DevOps and security. She has deep expertise in knowledge graphs, enterprise AI, application architecture, design and development, relational databases, Lucene-based search engines, large scale computing solutions and AWS. She is passionate about problem solving, irrespective of the domain. More from Urmi Majumder »
Fernando Aguilar Islas Fernando Aguilar Islas is a data analyst with a passion for turning data into valuable insight through exploratory data analysis, statistics, and machine learning techniques. With a quantitative academic background and experience in the services industry, he provides a unique blend of algorithmic and practical approaches to problem-solving delivering business-relevant solutions. More from Fernando Aguilar Islas »