Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

102
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
102
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

102
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
102
Statgraphics01:10

Statgraphics

100
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
100
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

374
Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
374
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

792
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
792
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Physical and psychological well-being of kidney patients: a scoping review exploring the mediating or moderating role of psychological resilience.

Journal of nephrology·2026
Same author

Avoiding Cisplatin-Related Hearing Loss, Including Implementing Sodium Thiosulfate as Otoprotectant Into Daily Pediatric Clinical Practice: Proceedings Based on Evidence and Expert Opinion From the Ototoxicity Taskforce of the SIOP Supportive Care Network.

Ear and hearing·2026
Same author

Artificial intelligence for animal science: from applications to integrated knowledge systems.

Animal frontiers : the review magazine of animal agriculture·2026
Same author

Navigating AI deployment in precision livestock farming: current trends and future prospects.

Animal frontiers : the review magazine of animal agriculture·2026
Same author

Present and future opportunities for artificial intelligence applications in dairy cattle reproduction.

Animal frontiers : the review magazine of animal agriculture·2026
Same author

Local application of otoprotective compounds other than sodium thiosulfate to prevent cisplatin-induced hearing loss: a systematic review.

Drug delivery·2026

Related Experiment Video

Updated: May 28, 2025

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

18.1K

Data Integration and Analytics in the Dairy Industry: Challenges and Pathways Forward.

Victor E Cabrera1, Jeffrey Bewley2, Mitch Breunig3

  • 1Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA.

Animals : an Open Access Journal From MDPI
|February 13, 2025
PubMed
Summary

Dairy data integration faces hurdles like standardization issues and data sharing reluctance. Overcoming these challenges through guidelines and technology is key for sustainability and profitability.

Keywords:
dairy farmingdata integrationdecision support systemsstandardizationsustainability

More Related Videos

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.1K
The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals
11:02

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

Published on: September 7, 2015

21.8K

Related Experiment Videos

Last Updated: May 28, 2025

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

18.1K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.1K
The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals
11:02

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

Published on: September 7, 2015

21.8K

Area of Science:

  • Agricultural Science
  • Data Science
  • Information Systems

Background:

  • Dairy industry data integration is crucial for decision-making, optimization, and sustainability.
  • Current data integration faces significant challenges including lack of standardization and infrastructure barriers.

Purpose of the Study:

  • To explore the challenges in dairy data integration and analysis.
  • To identify pathways forward for improving data systems in the dairy industry.

Main Methods:

  • Multidisciplinary stakeholder insights (industry experts, researchers, practitioners).
  • Discussion of key challenges: lack of national animal ID, IT costs, data sharing reluctance, global practice differences.

Main Results:

  • Identified barriers to data integration: standardization, infrastructure, proprietary concerns, and cost.
  • Highlighted the need for improved data exchange standards and interoperability.

Conclusions:

  • Developing data integration guidelines and farmer training are essential.
  • Leveraging AI and cloud computing can enhance dairy supply chain sustainability, traceability, and profitability.