What is an example of big data sending user survey?
tracking the work hours of 100 employees with a real-time dashboard. entering and tracking a company's daily transaction records in a spreadsheet. sending user survey responses from various store branches to a single central database.
Example of Big Data Application In Healthcare
Wearable devices and sensors have been introduced in the healthcare industry which can provide real-time feed to the electronic health record of a patient. One such technology is Apple. Apple has come up with Apple HealthKit, CareKit, and ResearchKit.
1}entering and tracking a company's daily transaction records in a spreadsheet. 2)tracking the work hours of 100 employees with a real-time dashboard. 3)providing real-time data feeds on millions of people with wearable devices. 4)sending user survey responses from various store branches to a single, central database.
- Structured data.
- Unstructured data.
- Semi-structured data.
What are examples of big data? Big data comes from myriad sources -- some examples are transaction processing systems, customer databases, documents, emails, medical records, internet clickstream logs, mobile apps and social networks.
There are four main types of big data analytics: diagnostic, descriptive, prescriptive, and predictive analytics.
Big data is a term which is used to describe any data set that is so large and complex that it is difficult to process using traditional applications.
Structured and unstructured are two important types of big data.
Statistical data sources are surveys and other statistical reports used for official purposes.
User's Data means any files, documents, image, profile picture, messages, recordings, chat logs, transcripts, and similar data that we maintain on your or your Users' behalf, as well as any other information you or your Users may upload to your Service account in connection with the Platform.
What data is used for surveys?
Survey data can be in multiple formats, including texts, videos, images, documents, and audio, up to mention a few. The quality of survey data you get during a systematic investigation depends on your method of collecting the information, the types of questions you ask, and the researcher's degree of bias.
It's best to start with quantitative data when performing a survey analysis. That's because quantitative data can help you better understand your qualitative data.