reconciled data

USAGE SUMMARY

The phrase "reconciled data" is correct and usable in written English.
It is typically used in contexts involving data analysis, accounting, or data management, where data has been verified and adjusted to ensure accuracy and consistency. Example: "After reviewing the financial records, we were able to produce reconciled data that accurately reflects our current financial status."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

9 human-written examples

Without incentives to share customers, the most elegantly reconciled data in the world will make no difference.

The Economist

However, throughout the operation of the plant, if the economic criterion changes – due to variations of prices, costs, production demand, market fluctuations, reconciled data, disturbances, etc. – the optimal operation point also changes.

Journal of Process Control

Based on the comparison with other DR methods, the novel robust DR method can effectively improve the reliability of reconciled data even when errors do not follow normal distribution.

Neurocomputing

Examples for grinding and flotation circuits are given to illustrate the impact of the instrumentation design parameters on the accuracy of the reconciled data and the robustness of the reconciliation algorithm, and to illustrate possible compromises between instrumentation cost and data reconciliation efficiency.

IFAC Proceedings Volumes

Ensures that a clean and comprehensive database with fully reconciled data and amounts is maintained.

UNICEF

Estimates reconciled data from ten imputed data sets using Rubin's approach [ 17] in the R package Zelig [ 18].

BMC International Health and Human Rights

Human-verified similar examples from authoritative sources

Similar Expressions

51 human-written examples

It reconciles data indicating the same phenomenology as that taking place when a monolayer is chemisorbed as well as quantitative results suggesting the presence of a thick layer.

Electrochimica Acta

We've also experimented with new tools and technologies; for example, setting up and using the KryoFlux and creating bash scripts to reconcile data discrepancies.

Princeton University

We present EDReconciler, an open-source, freely distributed application designed to reconcile data from the individual data sources that represent the billing cycle pathway.

Annals of Emergency Medicine

One of Nokia's most valuable patents is one describing a "method for mapping, translating, and dynamically reconciling data". This is now fundamental to syncing calendars on different devices.

MIT Technology Review

This cloud-based platform enables health care systems to aggregate, transform and reconcile data across the continuum of care.

Clinical and Translational Medicine

Expert writing Tips

Best practice

When using "reconciled data", ensure you can clearly explain the process by which the data was reconciled. Transparency builds trust in your results.

Common error

Don't assume that "reconciled data" is necessarily 100% error-free. Reconciliation minimizes discrepancies but may not eliminate all errors. Always consider potential limitations.

Linguistic Context

The phrase "reconciled data" functions as a noun phrase where the adjective "reconciled" modifies the noun "data". As Ludwig AI highlights, it signifies data that has undergone a process of verification and adjustment to ensure consistency and accuracy.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

30%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "reconciled data" refers to data that has been verified and adjusted to ensure accuracy and consistency, as confirmed by Ludwig AI. While the phrase is grammatically correct and usable in written English, it's important to remember that reconciliation doesn't guarantee perfection. Ludwig's analysis shows that "reconciled data" is commonly used in scientific, news, and business contexts. When using this phrase, be prepared to explain the reconciliation process. Consider alternatives like "harmonized data" or "validated data" to add nuance to your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

harmonized data

Refers to data brought into agreement or uniformity, similar to reconciled data but emphasizes blending different sources.

validated data

Indicates data that has been checked for accuracy and correctness, ensuring it meets certain standards.

verified data

Implies data that has been confirmed to be true and accurate, with an emphasis on the verification process.

consistent data

Highlights the uniformity and lack of contradictions within the dataset.

accurate data

Focuses on the correctness and freedom from error in the data.

unified data

Suggests that multiple datasets have been combined into a single, cohesive set, with any discrepancies resolved.

aligned data

Emphasizes that the data points are in agreement or correspondence with each other or with a standard.

integrated data

Implies that data from different sources has been combined, potentially involving a reconciliation process.

adjusted data

Focuses on the changes made to the data to correct errors or inconsistencies.

corrected data

Highlights that errors have been identified and fixed in the data.

FAQs

How is "reconciled data" typically used?

"Reconciled data" is used in contexts where data from different sources or formats has been brought into agreement. This is common in accounting, data analysis, and scientific research to ensure consistency and accuracy.

What can I say instead of "reconciled data"?

You can use alternatives like "harmonized data", "validated data", or "verified data" depending on the specific context and nuance you want to convey.

Is "reconciled data" always accurate?

While "reconciled data" aims to improve accuracy by resolving discrepancies, it does not guarantee complete accuracy. It's essential to understand the reconciliation process and potential limitations.

In what fields is "reconciled data" most commonly used?

"Reconciled data" is commonly used in fields like finance, data science, and scientific research, where combining and verifying data from multiple sources is crucial.