Data assessment
Inadequate communications planning may lead to problems such as delay in message delivery, communication of information to the wrong audience, or insufficient communication to stakeholders” (p. 290). In considering the importance of stakeholder engagement and communication, describe three activities or actions you would implement to assure stakeholders that the project is managed within scope and schedule. Part 2: Data Validation and Discovery Walkthrough 2 PARAGRAPHS PER BULLET Journal assignments in this course are private between you and your instructor and will be used to prepare for the final project. You are encouraged to be honest and open in your assignments. *After completing the data assessment, why do you think running a summary function on the data set is important (or not important)? *How does reviewing the minimum, maximum, and average of a field in the data help describe the data? *Describe in your own words what data assessment is.
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To assure stakeholders that the project is managed within scope and schedule, three activities or actions that can be implemented are:
Regular Progress Reporting: Implementing a system of regular progress reporting is crucial for maintaining transparency and keeping stakeholders informed about the project’s status. This can include weekly or monthly reports that highlight key milestones achieved, progress made, and any challenges or risks encountered. By providing stakeholders with accurate and up-to-date information, they can have confidence in the project’s management and be assured that it is progressing as planned.
Stakeholder Meetings and Communication Channels: Organizing stakeholder meetings and establishing effective communication channels are essential for engagement and collaboration. Regular meetings can provide a platform for stakeholders to voice their concerns, ask questions, and provide feedback. Additionally, setting up communication channels such as email updates, newsletters, or project management software can facilitate ongoing dialogue and ensure that stakeholders are well-informed about the project’s scope, schedule, and any changes or updates.
Milestone Reviews and Demonstrations: Conducting milestone reviews and demonstrations can help showcase the project’s progress and achievements to stakeholders. These reviews can involve presenting completed deliverables, demonstrating functionality, or sharing prototypes. By providing tangible evidence of the project’s accomplishments, stakeholders can gain confidence in the project’s management and see firsthand that it is being executed within the defined scope and schedule.
Part 2: Data Validation and Discovery Walkthrough
Running a summary function on a data set is important because it provides a quick overview of the dataset’s key statistics and characteristics. It helps to identify any anomalies, inconsistencies, or missing values that may exist in the data. By running a summary function, we can get insights into the distribution, range, and central tendency of the data, which can guide further analysis and decision-making processes.
Reviewing the minimum, maximum, and average of a field in the data helps describe the data by providing a sense of the data’s range and variability. The minimum and maximum values indicate the boundaries within which the data points lie, providing an understanding of the extreme values. The average (or mean) value gives an estimate of the central tendency of the data. This information helps to assess the overall distribution of the data and identify any potential outliers or anomalies.
Data assessment is the process of examining and evaluating data to gain an understanding of its quality, completeness, accuracy, and relevance for a specific purpose or analysis. It involves reviewing the structure, content, and characteristics of the data to ensure its integrity and usability. Data assessment includes tasks such as data profiling, data cleansing, and data validation, which help identify any issues or inconsistencies in the data and provide insights for decision-making and further analysis. The goal of data assessment is to ensure that the data is reliable, accurate, and fit for the intended purpose.
