Event

Webinar: Headway Analysis of Incorrect Sales Categorisation

  • 22 April 10:00 am – 11:00 am
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  • CPD Points: 1.00
  • Access Restrictions: The recording of this webinar is only available through the Property Institute site to people who have purchased access using the Register button on this page.
  • Duration: 60:00
Pricing
$0.00 Members
$126.50 Non Members

About the Event

Historically and even still today, sales transactions have been excluded from searchable databases due to missing critical data elements. Join Headway as they provide an analysis of the historic sales dataset, how to mitigate any ongoing issues and what changes are in the pipeline for the coming year.

CPD Point

Members please note, you will be required to complete a participation & CPD verification question before your CPD points will be automatically allocated to your CPD diary.

No responsibility or liability is accepted by the New Zealand Institute of Valuers (NZIV) or the Property Institute of New Zealand (PINZ) for the accuracy of any statement, opinion or advice contained in this publication. The views and opinions expressed in this publication are those of the individual authors rather than NZIV or PINZ. While all reasonable care has been taken in presenting the material, it is intended to provide general information only. It does not constitute legal or financial advice and should not be relied on as such. Readers should rely upon their own enquiries or research before making any decisions or taking any action based upon information presented. Specialist advice should be sought on particular matters.

Speakers

  • Glenn Hughes

    Glenn has 30 years’ experience in the IT industry including the last 20 supporting Headway. There he has been at the forefront of NZ sales data consolidation including involvement with many of the leading Property information software packages.

  • Gus Pawson

    • Data Analyst Headway Systems Ltd

    Gus has recently joined the Headway Team after completed his Master in Applied Data Science at the University of Canterbury. Initially during his Masters analysis, and then as part of the Headway team, Gus had developed an intimate understanding of key areas of the historical sales and rating datasets.