The role of a technical program manager (T/PgM) has many sides, It covers project management, technical oversight, and strategic planning. To master these areas, The TPgMs should also master the data analysis and invest time to understand how their work aligns with it.
"In God we trust, all others must bring data." – W. Edwards Deming
Data analysis helps T/PgMs with the skills to make informed decisions based on evidence rather than intuition. By discovering data patterns and trends, T/PgM can find issues, allocate resources and optimize project process and timeline. Analyzing historical data on project completion can help predict future problems and proactively address them
"Without data, you're just another person with an opinion." – W. Edwards Deming
Data analysis supports T/PgMs communication and collaboration. The data insights can help the project strategies and align the technical objectives with business goals.
"What gets measured gets managed." – Peter Drucker
T/PgMs are responsible for tracking the progress and the performance for various projects. Using data visualization tools can create clear reports that show project status , highlight risks and success to senior management and other stakeholders. Which is super helpful on risk management by identifying and mitigating the risks. Data analysis helps in forecasting the potential risks. This proactive approach enables T/PgMs to develop contingency plans and work in risk mitigation strategies more effectively.
There are similarities between Technical/Program and data analysts, While the two roles are distinct . There are several areas and skills that intersect. Both T/PgMs and data analysts rely heavily on data to inform their decision. They both should have problem solving skills and should have effective communication skills. They must be able to show their findings clearly through reports and visualizations.
**In summary : \ Studying data analysis is a necessity in the world of data driven decisions. T/PgMs can enhance their decision making , communication and contribute to strategic goals by understanding and utilizing data analysis