Date: Thursday, October 20, 2022
Time: 11:00 AM ET / 10:00 AM CT / 8:00 AM PT / 3:00 PM GMT
Find out what happens when distributors get clean and efficient product data in the format they need and can be used immediately. The amount of time and resources spent manipulating and correcting data downstream is staggering. Likewise, manufacturers are spinning their wheels trying to provide data in many formats to their distributors.
IDEA’s Harmonized Data Model (HDM) enables manufacturers to gain efficiencies by having a single source of product data to feed multiple syndication formats. Harmonizing data transforms incomplete and inaccurate data into usable information.
In this webinar, hear from thought leader, Denise Keating, and data standards expert, Angela Baraks. You’ll learn how data standards fit into the HDM, the difference between normalization and harmonization, and how harmonized data makes it easier to compete in today’s digital landscape. The HDM initiative is underway with dozens of companies participating. You won’t want to miss it.
VP Customer Success
Denise Keating, former CEO & co-founder of DATAgility, is passionate about helping companies put quality product data into motion to drive results. With 30 years’ experience in distribution, she is a thought leader and frequent speaker on digital trends & strategies. She was awarded the NAED Associate Service Award for her demonstrated vision and leadership in development and implementation of data standards and for supporting the goals of NAED for the betterment of the Electrical industry. Keating oversees data quality and standards as well as the HDM initiative.
Director of Data Quality & Standards
Angela Baraks brings extensive experience of 25+ years with industry data standards. She oversees IDEA’s data quality and Pro Data Services team, as well as industry subject matter experts (SMEs) for the Harmonized Data Model (HDM) initiative. She has contributed to the industry data standards through her volunteer work on standards development and consulting work through DATAgility.