fragmented data sources

USAGE SUMMARY

The phrase "fragmented data sources" is correct and usable in written English.
It can be used when discussing data that is scattered across multiple locations or systems, making it difficult to access or analyze comprehensively. Example: "The company's decision-making process is hindered by fragmented data sources, which prevent a unified view of customer insights."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

The company sells software that makes it easier to integrate fragmented data sources, Hookey says.

TechCrunch

In particular, developing partnerships between separate agencies is recognised as a necessary element in circumventing fragmented data sources and facilitating the sharing of information (see Gibbs et al. 2015; INTERPOL 2015c).

Crime Science

Third, if local health data are available for some local areas, they are often distributed over fragmented data sources, which makes it difficult to combine and interpret them [ 11].

Human Resources for Health

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

On the other hand, the major drawback of this method is that the pathway data is not available from a single experimental resource as it is highly dispersed in multiple published articles, and hence, to extract the valuable information from this fragmented data source, a large number of human resources are required to be involved throughout the entire process.

Database : the journal of biological databases and curation

In principle this difficulty arises from the high complexity of life science data, which is partly an artefact of the fragmented landscape of data sources but also stems from reasons integral to the life sciences.

BMC Systems Biology

Acquisition of patient data for clinical research is challenging, because routinely collected patient data is often incomplete, fragmented (divided over different data sources), or poorly accessible (on paper or in free text format).

BMC Medical Informatics and Decision Making

The creation of a "fusion center" for the enterprise is recommended by the authors where the ESM is collaboratively utilized across organizational boundaries in a variety of ways especially regarding any aspects that could be fragmented (e.g., planning, risk assessment, data sources, intelligence analysis, etc).

Journal of Big Data

"As data sources become more and more fragmented and internal customers become more and more data savvy, DBA, IT and Analysts become bottlenecks of data utilization instead of data enhancers," says Leven. "With Panoply.io's fully automated data warehouse, we democratize the ability to harness big data capabilities".

TechCrunch

This keeps data on the overall size of America's incarcerated population, as well as information about their crimes, quite fragmented.Yesterday the Prison Policy Initiative (PPI), a criminal-justice research and advocacy group, released a report and chart that draws on various data sources to present a fuller picture of precisely who is behind bars, and for what reason.

The Economist

There weren't any data sources there.

The Guardian - Tech

Moreover, it can encrypt each fragmented data or selected fragmented data.

EURASIP Journal on Wireless Communications and Networking

Expert writing Tips

Best practice

When addressing "fragmented data sources", clearly define the scope of the fragmentation. Specify which systems, databases, or departments contain the separate data pieces. This will provide clarity and context to your analysis or solution.

Common error

Don't assume that every "fragmented data source" holds information of equal importance. Prioritize data integration efforts based on the potential impact and relevance of each source to your objectives.

Linguistic Context

The phrase "fragmented data sources" primarily functions as a noun phrase, often serving as the subject or object of a sentence. It identifies the state of data being scattered or distributed across multiple locations, making it challenging to consolidate and analyze. Ludwig AI confirms the proper grammatical use of this term.

Expression frequency: Uncommon

Frequent in

Science

34%

News & Media

33%

Formal & Business

33%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "fragmented data sources" is a grammatically sound noun phrase that describes a common data management challenge. Ludwig AI confirms its correct and usable nature. It's used across various fields, including science, news, and business, to highlight difficulties in consolidating and analyzing data. Addressing this fragmentation is essential for informed decision-making. Related terms include ""disparate data sources"" and "scattered data sources". To effectively tackle the issue, understanding the scope of fragmentation and prioritizing data integration based on business value are crucial steps.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Disparate data sources

Emphasizes the distinct and dissimilar nature of the data origins.

Scattered data sources

Highlights the dispersed or spread-out characteristic of the data's location.

Distributed data sources

Focuses on the data being spread across different locations or systems.

Decentralized data repositories

Stresses the lack of a central authority or control over the data storage.

Isolated data silos

Highlights the separation and lack of integration between different data stores.

Fragmented information landscape

Broader term that considers all types of information not only data.

Siloed data systems

Focuses on the systemic separation and lack of communication between data systems.

Unintegrated data sources

Highlights the lack of unified access or combination of data.

Disjointed data sets

Emphasizes the lack of connection or overlap between different data collections.

Complex data environments

Focuses on the complicated and often challenging nature of managing diverse data sources.

FAQs

How can I effectively address "fragmented data sources" in my organization?

Start by creating a comprehensive data inventory to understand where your data resides. Then, prioritize integration efforts based on business value and consider using tools designed to consolidate data from "disparate data sources".

What are common challenges associated with "fragmented data sources"?

Common challenges include difficulty in obtaining a unified view of information, increased time and effort for data analysis, inconsistencies in data quality, and potential for errors in decision-making.

What are some alternatives to "fragmented data sources"?

Depending on the context, you could use alternatives such as ""disparate data sources"", "scattered data sources", or "siloed data systems".

Why is it important to address "fragmented data sources"?

Addressing "fragmented data sources" is crucial for improving data-driven decision-making, enhancing operational efficiency, and gaining a more complete understanding of your business landscape. It also helps in ensuring data consistency and accuracy.