Susan Walsh

Susan Walsh's picture
About: 

With nearly a decade of experience fixing your dirty data, Susan Walsh is The Classification Guru.
She brings clarity and accuracy to data and procurement; helps teams work more effectively and efficiently; and cuts through the jargon to address the issues of dirty data and its consequences in an entertaining and engaging way.

Susan is a specialist in data classification, supplier normalisation, taxonomy customisation, and data cleansing and can help your business find cost savings through spend and time management - supporting better, more informed business decisions.
Susan has developed a methodology to accurately and efficiently classify, cleanse and check data for errors which will help prevent costly mistakes and could save days, if not weeks of laborious cleansing and classifying.

Susan is passionate about helping you find the value in cleaning your ‘dirty data’ and raises awareness of the consequences of ignoring issues through her blogs, vlogs, webinars and speaking engagements.

From this author

data protection
Feb 18, 2021    0

So, you’ve just shelled out big money to have it classified and your data will almost certainly be correct when you receive it, but it will only stay accurate for a short period of time.

Updates and changes mean that before you know it, your once neat and tidy data sets will contain unclassified data, data that’s been incorrectly classified, typos, and cut and paste errors, to name but a few. That is why, and I cannot emphasize this enough, it is crucial to maintain your...

Finance departments use GL codes to track spend.
Nov 25, 2020    0

Finance departments use GL codes to track spend. We’re looking at items like office supplies, marketing or maybe a specific project within the business. However, what finance are looking for and what procurement are looking for can be two quite different things.

The Trouble With GL Codes

Firstly, if you're only using your general ledger codes, I can almost guarantee they are wrong! In my experience working with GL codes, I would say 90% of them are unreliable. You...

Data accuracy is an investment, not a cost.
Oct 23, 2020    0

We all think we know what dirty data is, but it can mean very different things to different people. At it’s most basic level, dirty data is anything that’s incorrect.

Within procurement, it could be misspelt vendors, incorrect invoice descriptions, missing product codes, a lack of standard units of measure (e.g., ltr, l, litres), currency issues, duplicate invoices or incorrect/partially classified data.

Dirty data can affect the whole organization. We each have an...

Ensure your data is consistent, organized, accurate and trustworthy to get the most out of it.
Aug 12, 2020    0

 

Data services are just like coats - not all are created equal. There's a varying range of price, quality and reliability. And, if your data doesn’t have a good coat, there could be a range of bad or costly decisions made. These decisions could affect the business performance, financial situation, risk jobs, or even the fate of the company. 

Let me put it this way, you wouldn't go out in freezing temperatures without the appropriate coat...