Start Date
4-4-2018 1:00 PM
End Date
4-4-2018 4:00 PM
Description
As technology continues to advance, data is not only becoming more accurate, but increasingly cheaper to both capture and store. This has led to an abundance of valuable, insightful data the world over. Some data are easily accessible, provided for free at online portals or through familiar software, while other "raw" sources require much more technical consideration to access and then analyze. Taught by Ulster University's Professor Michael McCord, Ph.D., IAAO Valuation Research Project Manager Paul Bidanset (Ph.D. candidate), and IAAO Research Director Margie Cusack, this hands-on symposium will equip attendees with tools in the following areas: • What exactly is meant by "big data" and "open data"? • Where can this data be found? • How can this data be mined to glean insight and paired with existing real estate data to improve both accuracy and defensibility of valuations?
Publication Date
4-4-2018
Recommended Citation
McCord, Michael PhD; Bidanset, Paul; and Cusack, Margie, "Improving valuations with big data, open data, & data mining" (2018). International Research Symposium. 2.
https://researchexchange.iaao.org/irs/irs18/sessions/2
Improving valuations with big data, open data, & data mining
As technology continues to advance, data is not only becoming more accurate, but increasingly cheaper to both capture and store. This has led to an abundance of valuable, insightful data the world over. Some data are easily accessible, provided for free at online portals or through familiar software, while other "raw" sources require much more technical consideration to access and then analyze. Taught by Ulster University's Professor Michael McCord, Ph.D., IAAO Valuation Research Project Manager Paul Bidanset (Ph.D. candidate), and IAAO Research Director Margie Cusack, this hands-on symposium will equip attendees with tools in the following areas: • What exactly is meant by "big data" and "open data"? • Where can this data be found? • How can this data be mined to glean insight and paired with existing real estate data to improve both accuracy and defensibility of valuations?