Reference no: EM133769177

Assignment: Management

Up to the Challenge

Teri has seen Sarah grow as an HRM professional. Teri sees that Sarah has a firm understanding of data and predictive analytics and feels very comfortable giving Sarah more responsibility. She asks her to review data in a number of areas and provide preliminary recommendations. Sarah is up to the challenge. According to Pease (2015), the continuum of analytics can be organized as descriptive, predictive, and transformative. Descriptive analysis concerns what has already happened or is happening. This is the data/metrics presented in dashboards. Predictive analysis involves turning the data into actionable information. Transformative analysis means recommending decisions to benefit the organization. Pease (2015) provides the specific development for moving from dashboards and scorecards to benchmarks, and identifying correlations, isolation, and causation to predictive analysis, ultimately leading to what our text refers to as optimization (see fig. 4.1).

Reference

Pease, G. (2015). Optimize your greatest asset-your people: How to apply analytics to big data to improve your human capital investments. Wiley.

Introduction

Scenario

You are a human resource professional at CapraTek. You have been approached by Evelyn Unger, the senior HR generalist, to head a team to address improving quality through improved performance at CapraTek. She wants to make some informed decisions regarding the direction and management of the organization. Improving quality is a strategic goal for this organization. You suggest that certain data will help provide a basis for taking action.

Your Challenge

Create an executive summary with your recommendations regarding the introduction of key performance data to improve quality at CapraTek. Use the support documents and your activity notes from the CapraTek: Data for Decision Making - Measuring Organizational Performance simulation to support your decisions.

Instructions

Write a 3 to 4 page executive summary for CapraTek's senior hr generalist, Evelyn Unger, using the CapraTek: data for decision making - measuring organizational performance simulation to interpret data and information on performance to improve quality. Complete the following:

1) Summarize data gathered from the company.

2) Review the data gathered from the CapraTek simulation.

3) Identify key themes.

4) Develop recommendations, using the presented data, to drive employee performance in the direction desired by organizational strategy.

5) Analyze the data to identify trends.

6) Identify actions needed to increase performance.

7) Include a minimum of two recommendations that are supported by your analysis.

8) Explain how your recommendations would improve quality and help to achieve strategic organizational goals.

9) Propose methods of collecting data to measure performance.

10) Research data-collecting methods for measuring performance.

11) Identify the methods that you feel would be the most effective for the situation at CapraTek.

12) Convey purpose in an appropriate tone and style, incorporating supporting evidence and adhering to organizational, professional, and scholarly writing standards.

13) Ensure that your executive summary is written to your intended audience and that it conveys the points above.

Note that your recommendations are for information-only purposes.

14) Review the HR Challenge: Data for Decision Making - Measuring Organizational Performance rubric to see the criteria by which your assignment will be evaluated.