Indexing quality: what “good enough” looks like for ops — this article focuses on “Data quality” within Upload & indexing. Uploading PDFs and the automatic extraction flow. Below is a practical playbook you can apply immediately, and how a knowledge graph keeps facts from living only in PDFs and spreadsheets.
Why “Data quality” deserves its own focus
Under Upload & indexing, teams often cram every detail into one summary — and the items that blow up before a deadline get buried. Isolating “Data quality” gives owners a clear definition of done, and gives reminders and dashboards something concrete to hang on.
fida lab’s approach: extract parties, obligations, dates, and amounts from PDFs into a knowledge graph. Chat, expiry radar, cashflow, and calendar all read that graph — they do not re-guess the source text.
Practical steps
- State in one sentence why “Data quality” matters now
- List three risks that will surface within 30 / 90 days if ignored
- Assign a single owner and a backup contact
- Query the graph once for “any similar contracts?” to avoid blind spots
One-week checklist
- Is the document the latest signed version?
- Do amounts and currencies match finance systems?
- Are surviving post-termination obligations flagged?
- If you switch vendor/venue, is the transition window long enough?
Common pitfalls
- Tracking only the “expiry date” and forgetting the “notice period” — a few weeks’ gap can close the renewal window.
- The same counterparty appears under different spellings and gets counted as two companies.
- Keyword search finds a paragraph but cannot answer cross-document portfolio questions.
Summary and next steps
If you are building an operating rhythm around Upload & indexing, finish the first two checklist items before automating reminders. Once contract facts live in a knowledge graph, Q&A, expiry, and cashflow views get much cheaper — that is the time fida lab aims to save for SMEs.
Ready to try fida lab?
Stop chasing renewal dates across PDFs and spreadsheets. Create a free account and start turning your contracts into a knowledge graph you can ask, track, and act on.