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Health care
In a health information system, aggregate data is the integration of data concerning numerous patients. A particular patient cannot be t… See moreWikipedia
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- Aggregate data1combines and summarizes information, whereas detailed data1is more granular and provides more information. Aggregation is a function that allows key figure values on detail level to be automatically summed up at runtime, and then shown or planned on an aggregated level2. Disaggregation is a function that automatically provides the details of a key figure value from the aggregrated to the detail level2. Disaggregating data might help gain a deeper understanding of various subsets within a larger dataset1.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Aggregate data combines and summarizes information, whereas disaggregate data separate aggregated data into separate points or pieces of information. Disaggregating data might help gain a deeper understanding of various subsets within a larger dataset.dataconomy.com/2022/03/31/what-is-aggregate-data/Aggregation is a function that allows key figure values on detail level to be automatically summed up at runtime, and then shown or planned on an aggregated level. Disaggregation is a function that automatically provides the details of a key figure value from the aggregrated to the detail level.tipsfolder.com/difference-between-aggregated-disa…
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WEBJul 23, 2015 · Aggregate data refers to numerical or non-numerical information that is (1) collected from multiple sources and/or on multiple measures, variables, or individuals and (2) compiled into data summaries or summary reports, typically for the purposes of public reporting or statistical analysis—i.e., examining trends, making comparisons, or ...
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WEBfrom one side you have list of activities with aggregate information. From the othe side you have a very detailed information about specific …
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WEBSep 25, 2023 · Learn how aggregate, de-identified and anonymous data differ and how they affect your privacy. Find out why aggregate data is not always safe and how de-identification can be flawed.
WEBJun 7, 2018 · Aggregation is a mathematical operation that takes multiple values and returns a single value: operations like sum, average, count, or minimum. This changes the data to a lower …
WEBData aggregation is the process of combining datasets from diverse sources into a single format and summarizing it to support analysis and decision-making. This makes it easier for you to access and perform statistical analysis on large amounts of data to gain a holistic view of your business and make better informed decisions. Key Benefits.
What Is Aggregate Data? - Dataconomy
WEBMar 31, 2022 · Comparison: Aggregate data vs disaggregate data. The distinction between aggregate and disaggregate data is subtle but essential. Aggregate data combines and summarizes information, whereas disaggregate data separate aggregated data into separate points or pieces of information.
Data Aggregation: Everything You Need to Know | Astera
WEBMay 13th, 2024. Data aggregation is the process of combining and summarizing data from disparate sources into a cohesive dataset. It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse.
What is Data Aggregation: A Comprehensive Guide 101 | Hevo
WEBFeb 4, 2021 · Data Aggregation is the process of gathering data from multiple sources and presenting it in a summarized form. Learn about the types, levels, and applications of data aggregation, and how to automate it with Hevo Data.
WEBJan 31, 2020 · We aimed to compare the results from a large cohort of systematic reviews and meta-analyses based on individual participant data (IPD) with meta-analyses of published AD, to establish when the latter are most likely to be reliable and when the IPD approach might be required. Methods and findings.
*Datasets & Statistics Guide: Types of Data - University of St.
WEBMay 10, 2024 · Aggregate/Macro Data vs. Microdata. Aggregate or Macro Data are higher-level data that have been compiled from smaller units of data. For example, the Census data that you find on AmericanFactfinder have been aggregated to preserve the confidentiality of individual respondents.
Why Detailed Data Is As Important As Big Data - MIT Sloan …
WEBApr 26, 2012 · The increasing ability for companies to get transaction-level, detail-level data — clickstream data versus summary data — presents huge opportunity, says Boston College’s Sam Ransbotham. Big data gets all the press these days, but as important — and perhaps even more important — is detailed data.
Be Data Literate Part I: Why Aggregated Data Misleads, …
WEBMay 10, 2021 · The degree of aggregation in data refers to the level of detail or refinement in data. A high level of aggregation conceals differences between and among subgroup categories. (In a few moments we will define what is meant by subgroups).
sql - Should an aggregate data item have the same name as a …
WEBJun 27, 2011 · Pro: the aggregated data item is, in all ways save its dimension, the "same type of" data item as the detailed data item.
The Difference Between Aggregate and Detail Reports (3.5 minutes)
WEBSep 9, 2019 · Materials. This lesson covers the StudentTracker for Colleges & Universities aggregate (summary) and detail (student level) reports and highlights the purpose of each as well as their key similarities and differences. Special attention is …
Data Visualization Part 4: aggregation and granularity
WEBDec 23, 2021 · The purpose of aggregations is to simplify data for easier consumption or when the raw data doesn’t provide the level of detail we need. There are three main aggregations: sum,...
Aggregate health data in the United States: Steps toward a public …
WEBMay 27, 2013 · Aggregate health data in the United States: Steps toward a public good. JoshuaRolnick View all authors and affiliations. All Articles. https://doi.org/10.1177/1460458212462077. Contents. PDF / ePub. Abstract. The rise of electronic medical records promotes the collection and aggregation of medical data.
Data & Statistics: Microdata - University of Northern British Columbia
WEBApr 28, 2023 · Aggregate data are compiled statistics, such as a table of marital status by sex for some locality. Microdata are inherently flexible. One need not depend on published statistics from a census that compiled the data in a certain way, if at all.
Aggregated vs Disaggregated Data: Essential Insights
WEBOver 90% of the world’s data was made in the last two years. Our use of data keeps growing. That makes it important for any organization to grasp the ideas behind data aggregation and disaggregation. Aggregating data brings together multiple sources. It makes a complex issue easier to understand.
Meta-Analyses of Aggregate Data or Individual Participant Data …
WEBOverview. The purpose of this page is to describe and compare and contrast three quantitative approaches—meta-analyses of aggregate data, meta-analyses of individual participant data (retrospective pooled studies), and prospectively planned pooled studies—and provide resources to support the adoption of these methods. Description.
WEBConcentration indicators: assessing the gap between aggregate and detailed data. Fernando Ávila,1 Emilio Flores,1 Fabrizio López-Gallo,1, 2 and Javier Márquez3. Introduction. Banks and other financial intermediaries tend to specialize in market segments where they exercise a competitive advantage.
Disaggregated Data Definition - The Glossary of Education Reform
WEBJul 23, 2015 · Disaggregated data refers to numerical or non-numerical information that has been (1) collected from multiple sources and/or on multiple measures, variables, or individuals; (2) compiled into aggregate data —i.e., summaries of data—typically for the purposes of public reporting or statistical analysis; and then (3) broken down in …
The use of aggregate data for measuring practice improvement
WEBAggregate data are defined as data not limited to one patient, but data that are tracked across time, across organizations, across patient populations, or across some other variable.