reconcile data

USAGE SUMMARY

"reconcile data" is a correct and usable phrase in written English.
It means to compare and adjust data from different sources to make sure they are accurate and consistent. Example: In order to ensure the accuracy of our financial statements, we need to reconcile data from our accounting software and bank statements.

✓ Grammatically correct

Science

News & Media

Academia

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

19 human-written examples

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

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

Clinical and Translational Medicine

To do this, companies will need a system that can gather and reconcile data from all of their sales channels and translate it into paper or online returns for each jurisdiction.

Forbes

Even though systems thinking is an appropriate starting point in which to reconcile data with theory, it still remains to be widely accepted across a number of scientific disciplines.

Injury Epidemiology

Eventually I want to take advantage of it's ability to reconcile data against external sources, too, but it will be more effective if we get through the cleaning process first.

Duke University

Human-verified similar examples from authoritative sources

Similar Expressions

41 human-written examples

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

The Economist

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

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

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

Expert writing Tips

Best practice

When using "reconcile data", ensure you clearly specify the data sources you are comparing and adjusting. This provides context and improves clarity.

Common error

While "reconcile data" often involves correcting discrepancies, it can also simply mean ensuring consistency across different data sets that are already accurate. Don't assume there are always errors to be fixed.

Linguistic Context

The phrase "reconcile data" functions primarily as a verb phrase where 'reconcile' acts as a transitive verb and 'data' serves as its direct object. This is supported by Ludwig's examples, which showcase the phrase in contexts involving the comparison and adjustment of information.

Expression frequency: Common

Frequent in

Science

40%

News & Media

22%

Academia

18%

Less common in

Formal & Business

15%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "reconcile data" is a grammatically correct and widely used phrase referring to the process of ensuring consistency and accuracy across different datasets. According to Ludwig, it's commonly found in scientific, academic, news and business contexts. While "reconcile data" often implies error correction, it's crucial to specify the data sources involved and be aware that it doesn't always indicate fixing mistakes. Alternatives include "harmonize data" and "align data". The phrase maintains a formal register and signifies the importance of data integrity in diverse fields.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

harmonize data

Focuses on bringing data into agreement or consistency; similar to reconciling, but implies a smoother, less confrontational process.

align data

Emphasizes arranging data in a line or series, implying agreement or correspondence between different data sets.

integrate data

Highlights the combining of data from different sources into a unified whole.

correlate data

Stresses establishing a mutual relationship or connection between different data points.

consolidate data

Implies combining separate data sets into a single, more manageable set.

synthesize data

Highlights the combining of different ideas or influences into a coherent whole, often involving interpretation.

unify data

Stresses the bringing together of different data sets into a single, cohesive unit.

standardize data

Focuses on conforming data to a standard format or definition.

validate data

Emphasizes confirming the accuracy and correctness of data.

rectify data

Implies correcting errors or inaccuracies in data.

FAQs

How can I use "reconcile data" in a sentence?

You can use "reconcile data" to describe the process of comparing and adjusting data from different sources. For example, "The accounting team needs to "reconcile data" from the sales and marketing departments to get an accurate view of revenue."

What's the difference between "reconcile data" and "validate data"?

"Reconcile data" involves comparing and adjusting data from different sources to ensure consistency. "Validate data" focuses on verifying the accuracy and correctness of data against a set of rules or standards.

What can I say instead of "reconcile data"?

You can use alternatives like "harmonize data", "align data", or "integrate data" depending on the specific context.

In what situations is it necessary to "reconcile data"?

It's necessary to ""reconcile data"" whenever you are using data from multiple systems or sources, especially in finance, accounting, scientific research, and data management to ensure accuracy and consistency.