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These metrics are based on a common set of questions across all fund flows.

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發表於 2024-3-3 17:38:22 | 顯示全部樓層 |閱讀模式
Specific cross-section of data, evaluated at time X, we look at: Clearing: Did the fund flow complete correctly? Timeliness: Did the data arrive on time? Completeness: Do we have a complete representation of the underlying data system? We then compose DQ metrics on individual fund flows to provide scoring and targeted guidance for technical experts. These measurements roll up to create a unified DQ score—a system with a % data quality score is extremely unlikely to hide major problems—turning a complex distributed analysis problem into a straightforward tabulation exercise. Technical users can likewise trust that improving DQ scores reflect true improvement in underlying system behavior and accuracy. Clearing Ledger is based on double-entry bookkeeping, a standard method for guaranteeing that all money in a system is fully accounted for by balancing credits and debits.

Grounding our analysis in this construct gives us a mathematical proof of correctness. If you’ve never encountered this term before, a helpful explainer is “An Engineer’s Guide to Double-Entry Bookkeeping.” Using double-entry Brazil Mobile Number List bookkeeping to validate money movement is similar to analyzing a flow of water through a network of pipes (processes) ending in reservoirs (balance sheets). At steady state, terminal (nonclearing) reservoirs are full, and intermediate (clearing) pipes are empty. If there is water stuck in the pipes.



Rather than just tabulating cash flow in and out, we’re simultaneously modeling internal data system behaviors that may have nothing to do with physical movement of money—for example, currency conversion, report parsing, estimation, or billing analysis. We can use the same bookkeeping concepts to reason about those systems and evaluate their correctness in a much more general way. Detecting problems Clearing measures the fraction of Ledger that is appropriately zeroed out at steady then you have a problem—in other words, unresolved balances on the balance sheet. Traditionally, bookkeeping is purely an accounting construct, but we apply these ideas in a novel way  state.

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