costs of data

USAGE SUMMARY

The phrase "costs of data" is correct and usable in written English.
It can be used when discussing the expenses associated with acquiring, storing, or processing data in various contexts, such as business or technology. Example: "The costs of data management have increased significantly due to the need for advanced security measures."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

And internet penetration is rising faster than anywhere else as costs of data and devices fall.

The Guardian

Home Office officials giving evidence said the £174m estimate was the cost over 10 years based on their work with the industry and the historical costs of data collection.

The Guardian

Symantec's study found a correlation between having a senior executive in charge of information security and lower costs of data breaches.

The Economist

Facebook's engineers have a proven track record in reducing costs of data transfer and a partnership with the likes of Nokia, Qualcomm and Samsung can only increase their expertise.

Independent

Given the economic advantages of online businesses - advantages that will grow as utility computing drives the costs of data processing and communication even lower - traditional companies may have no choice but to refashion their own businesses along similar lines, firing workers in the process.

The Guardian - Tech

The company also aims to further reduce costs of data further down the line automatically.

TechCrunch

The sender and receiver measure the energy costs of data and ACK packets, respectively.

EURASIP Journal on Wireless Communications and Networking

Irreversible compression may lower the cost of maintaining long-term archives and reduce the time and costs of data migration.

Insights into Imaging

The underestimation of cyber threats will only continue driving up the business and reputational costs of data breaches while exposing the troves of enterprise secrets and government data.

TechCrunch

This is because costs of data transfer to the code running on the public cloud are less expensive than data coming from the public cloud.

Journal of Internet Services and Applications

The costs of data capture, storage, and distribution are now so low that it is profitable to collect personal data about everyone.

International Journal of Bipolar Disorders

Expert writing Tips

Best practice

When discussing budgetary concerns, specify which facet of data management the "costs of data" refer to. For instance, distinguish between "costs of data storage" and "costs of data analysis" to provide clarity.

Common error

Don't just focus on obvious expenses like software or storage. Include less visible "costs of data", such as employee training, compliance efforts, and security measures, for a comprehensive financial picture.

Linguistic Context

The phrase "costs of data" functions as a noun phrase, typically serving as the subject or object of a sentence. It describes the financial burden or expenses associated with data-related activities, aligning with the examples Ludwig provides.

Expression frequency: Very common

Frequent in

Science

40%

News & Media

35%

Formal & Business

25%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "costs of data" is a grammatically sound and frequently used expression referring to the financial implications of data-related activities. As Ludwig AI confirms, its usage is appropriate across various contexts, primarily in science, news, and business. When using this phrase, it's essential to clarify which specific aspect of data management is being discussed—whether it's storage, analysis, or security. To reduce ambiguity, alternatives like "data expenses" or "data acquisition costs" can be considered. Remember to account for both obvious and hidden expenses to get a complete financial picture. Overall, "costs of data" is a versatile phrase that requires careful application for clear communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data acquisition costs

Specifically addresses expenses incurred when obtaining data.

data expenses

Focuses specifically on the expenditure related to data, simpler and more direct.

data storage fees

Highlights the charges associated with storing data.

data management costs

Encompasses the overall expenses of managing data, including storage, security, and maintenance.

data-related expenditures

Highlights the spending aspect connected to data activities.

expenses for data handling

Refers to the costs involved in processing and manipulating data.

data pricing

Emphasizes the establishment of prices for data products or services.

data processing charges

Focuses on the fees for transforming and analyzing data.

financial burden of data

Highlights the weight of expenses associated with data.

economic impact of data

Addresses the broader financial and economic consequences of data use.

FAQs

What does "costs of data" generally refer to?

The "costs of data" typically encompass all expenses associated with acquiring, storing, processing, managing, and securing data. This can include infrastructure, software, personnel, and compliance costs.

How can I reduce the "costs of data" in my organization?

Strategies for reducing the "costs of data" include optimizing data storage, implementing efficient data management practices, leveraging cloud services, and automating data processing tasks. Consider also "data loss prevention" measures to mitigate risks of data breaches and consequential expenditures.

What's the difference between "costs of data" and "data value"?

The "costs of data" are the expenses incurred in handling data, while "data value" refers to the benefits or returns derived from leveraging that data for decision-making, innovation, or other strategic purposes.

Are the "costs of data" always monetary?

While monetary costs are primary, the "costs of data" can also include non-monetary factors such as time spent on data management, the environmental impact of data storage, and potential reputational damage from data breaches.