Prepare a reporting import by defining the first question, inventorying the source records and agreeing how the initial view will be validated. An import is a starting point for a review, not proof that the review is ready.
Uploading the largest available file can create more work than starting with a smaller, understood scope. The best first slice is large enough to answer a meaningful question and small enough to reconcile carefully.
Write down the first useful outcome
Choose a question such as explaining a field’s LOE movement or reviewing one AFE against the accepted plan. Identify the periods, properties and measures needed to answer it.
That outcome determines which source records matter. It also helps distinguish a missing input from a nice to have field that should not delay the first accepted review.
Prepare the reference information
Confirm property identifiers, display names, account definitions, units, date fields and ownership basis. Identify whether rows represent transactions, monthly totals or another grain. Mixing grains without a documented transformation can duplicate or distort totals.
Keep the source files intact. Record who provided them and when, so a later correction can be compared with the original version.
Identify the gaps early
Check missing periods, blank identifiers, duplicate records and unexpected values. Blank and zero should not be treated as interchangeable without an accepted rule. Zero can be a valid measure; a blank can represent an unavailable input.
Do not fill uncertain values simply to make the upload succeed. Preserve the issue and decide how it affects the first review.
Agree on acceptance
Choose totals and sample records to reconcile. Ask a knowledgeable reviewer to inspect the resulting categories and property assignments. Record unresolved exceptions with owners.
For a fictional first activation, one field over three complete months might be sufficient to test the reporting definitions. The acceptance note should name that scope rather than imply the entire portfolio is validated.
Upstream’s onboarding conversation should connect the input records with the operating question. The first success is an explainable reporting view that the team can use and repeat.
Research and references
These sources offer background for the review question. The worked examples and review methods above are Upstream’s practical guidance.
- A Survey of Data Quality Measurement and Monitoring ToolsEhrlinger & Wöß · Frontiers in Big Data · 2022 · Peer-reviewed systematic review · Open access
Further reading on profiling, quality measurement and monitoring.
- Beyond Accuracy: What Data Quality Means to Data ConsumersWang & Strong · Journal of Management Information Systems · 1996 · Peer-reviewed research
Research perspective on evaluating data quality beyond accuracy.
Common questions
Should the first import include every historical file?
Start with the scope needed for a meaningful, verifiable review, then expand after the definitions and acceptance checks are understood.
What should be checked after an import succeeds?
Reconcile totals, sample records, categories, property assignments and unresolved exceptions for the agreed scope.
Put the question to work
Explore the connected workflow for reporting practice or bring your well data question to a working session.