write your reactions to both of these student posts:

. Leadership Commitment: Leaders/Directors must utilize the data and analytics in decision-making. They need to evaluate existing resources, assess personnel, and plan for technological improvements. . Employee Skill Level: Companies should evaluate employee skill levels and invest in training. Establishing consistent standards and ensuring that employees understand the importance of data is vitally beneficial. . Cost and Affordability: Consider the financial feasibility of transitioning to a data-driven approach. Phasing implementation might be necessary in order to manage costs. . Data Integrity and Quality: Prioritize your data people! Ensure your data is accurate, trustworthy, and recently updated information. Invest in the right tools for data processing and analysis. . Continuous Evaluation: Regularly evaluate and inspect infrastructure, adapt to business needs, and provide ongoing training to keep up with technological advancements. A great example of a healthy data driven culture can be seen in a healthcare facility. Every healthcare facility is required to use an electronic health record. This is a data driven facility. Using an electronic health record provides data needed to successfully run a healthcare facility.. Each person in each department using the system should know how to use it, how to enter or pull data, and understand how their actions in the system can either have a negative or positive impact on the data generated. If staff are willing to use the system, use it appropriately, accurately, efficiently and understand how what they do in the system has a domino effect, it can be a healthy data driven culture. If the system is not used correctly, the data provided about the facility will be inaccurate and confidence in how to move forward as a facility will be completely gone. Training staff on accuracy in the technology used wiill provide meaningful data. If we are to understand where a healthcare facility stands in regards to finances, statistics, departmental service lines, we must understand the data entered into the electronic health record so that we can build a data driven organization