Data readings is the process of collecting and submitting data which gives rise to accurate analyses of the facts on the ground, inaccurate data reporting can lead to vastly uninformed decision-making based on erroneous evidence.
Data Reading System
The data reporting system is made up of monitoring, converting, and deploying data. After observing data trends for a set period, the data gathered will be converted into more understandable and precise presentation formats, such as charts, files, or graphs.
By monitoring an organization’s data using tables and graphs, the organization can delve deeper into its data model to determine areas that can be improved. Monitoring is the first aspect of data reporting. The amount of data can be overwhelming, so hiring data analysts to compile and translate your data reports is recommended.
Daily Data Collection
Most managers conduct post-factum analysis, collecting data every week. From this, weekly averages can be calculated, and the performance of the flock over the preceding week is evaluated.
To better understand what is going on in the poultry house, and consequently have greater control over production processes, data need to be collected in real-time and looked at a daily basis.
However, real-time data collection and daily examination only address part of the issue, and it does little to reduce the burden of having to deal with statistics and the time that this consumes. However, there are now tools that can learn how birds behave under normal conditions and can detect problems at an early stage should they start to arise.
Production Farm Economics Module
By capturing production data about our egg-laying hens such as how many eggs are collected each day and how much is spent on feed, we have been able to determine egg prices more efficiently.
- Form responses are automatically entered into an Excel spreadsheet. This eliminates the need to manually transfer data from a paper form to an Excel spreadsheet and become ready for data analysis immediately.
- Data is readily available through Google Drive for “collaborators” on their mobile devices and computers.
Below are some of the steps involved within a data analytics exploration,
- Create data hypothesis
- Gather and manipulate data
- Present results to be the business