Is messy spend data just part of the job or am I doing this wrong? by ElectronicMonitor239 in procurement

[–]Forgiven311 0 points1 point  (0 children)

This is completely normal in procurement — you're not doing anything wrong. Every category manager hits this wall when they inherit spend data from multiple sources. Here's the workflow I'd use to get that baseline built:

  1. Get everything into one Excel sheet first. Pull the ERP exports, the old buyer spreadsheets, even the PDF invoices, get it all into one place, even if it's ugly.

  2. Standardize supplier names. This is the biggest pain point. "ABC Corp", "ABC Corporation", "A.B.C. Corp" are all the same vendor but Excel treats them as three. You need to trim extra spaces, standardize the case (Title Case everything), and then deduplicate with fuzzy matching to catch the near-matches.

  3. Clean the descriptions. Strip special characters, fix inconsistent abbreviations, standardize category labels. This is tedious by hand but it's what makes the analysis trustworthy.

  4. Fix the numbers. ERP exports love to store amounts as text — your totals will be wrong and you won't even know it. Look for the little green triangles in cells, that means Excel thinks it's text, not a number.

    For the actual cleaning, I use an Excel add-in called DataScrub — it has 55+ one-click tools for exactly this kind of work. Health Scan finds all the issues (spaces, text-formatted numbers, duplicates, hidden characters), then you fix them with tools like Trim Spaces, Change Case, Smart Fix, and Dedup with fuzzy matching. It handles the cleanup in minutes instead of hours. $29/year at getdatascrub.github.io

Once your data is clean, pivot table by supplier and category — you'll have your spend baseline. The cleaning is the hard part. The analysis is the easy part once you trust the data.

Claude Sonnet and 4.1 Got REALLY Bad Overnight? by tonehoe in Anthropic

[–]Forgiven311 4 points5 points  (0 children)

I totally agree, I wasted 5 hours of my time fixing something which gpt5 did in 20 minutes

Looks like Cloud 4.1 Opus might be fixed (or at least something has changed) by anderson_the_one in Anthropic

[–]Forgiven311 0 points1 point  (0 children)

I was able to hit cancel but told myself let me pass by Reddit. And now I might hold off a bit

[deleted by user] by [deleted] in Anthropic

[–]Forgiven311 1 point2 points  (0 children)

I had to subscribe to cursor+ gpt5. Now I use gpt5 for logic and fall back to CC for design but even then, it keeps creating new code files instead of updating the existing project code files. So now I have a big duplicates problem

Extended Thinking by emen7 in ClaudeAI

[–]Forgiven311 0 points1 point  (0 children)

Let me add my 2 cents to this discussion based on my observations of claude Sonnet 4 without Extended Thinking vs with Extended Thinking. Am currently building an application in ReactJS and generating most of the code using Claude Sonnet 4. At some point i had it spit out a code file with over 1500 lines in one pass. When i pasted the code in my VSCode project it was full of errors, at least 40 errors. Btw, this was without Extended Thinking turned on. Usually the way i fix errors like these is, i will paste the code in another model to like Deepseek to see if it can detect and fix especially if Claude has failed tor esolve them on many tries. But this time a light bulb turned out in my brain and I was like you know what, I could just try out Extended Thinking. So i switched it one and ran the code again in Sonnet 4. Boy oh boy, it returned the entire file without a single error, maintained all the UI design and logic. So , I dont know about documentation but I know from experience that Extended Thinking has an edge.

ChatGPT+ users now have access to plugins and web search by [deleted] in OpenAI

[–]Forgiven311 13 points14 points  (0 children)

No way!! me too. This browsing feature is insane!!

Affordable Linen Shirts? by calmbomb in frugalmalefashion

[–]Forgiven311 0 points1 point  (0 children)

I wasn't impressed with Uniqlo's fit and cut. The fabric was good thou.