TEALBOOK
Solving
Supplier Data for Procurement Leaders
“ I own Data Ops and within this , Data Governance , Data Quality and the processing of information to complement where the shortcomings are . A big part of my role is also to decide how we ' re using artificial intelligence technologies and be able to train those models to perform better over time ,” said Liwanag .
The problem of bad data Particularly in the procurement space , supplier data is about the collection of the information . Liwanag explains : “ It ' s very difficult to convince the universe of suppliers out there to deliver that information in the same way . With the landscape as it stands today , suppliers work with many buyers , and all these buyers want specific information to be able to transact with you . And then , in that situation , each individual buyer is asking that one supplier the same question 30 or 40 times .”
This tireless process causes supplier fatigue as they enter this information in multiple portals and maintain this information over time .
Liwanag added : “ People change , situations change , and information changes . So you can see how that problem gets out of scale very quickly . We ’ re talking about a dynamic environment where things are constantly changing in terms of your buyer landscape , the technologies they ' re using , and the supplier itself is changing constantly in different dimensions , so then maintaining data across those different systems consistently , in the manual fashion , essentially becomes unsustainable .”
160 April 2022