Post by mstjuste on Jul 20, 2021 0:15:25 GMT
What are two thoughts that stood out for you in each of the readings?
1) Having a goal - Starting with the end in mind and 2) Correlation - Making the Metrics Make Sense.
How might you apply these learnings to your everyday work? Please give a specific example.
In my role in Talent Acquisitions data is key in determining what succeeds and what fails in particular or recruitment. I use data to determine how successful a pitch is, or whether a position is in high/low demand, what salaries are competitive and what factors matter to applicants, staff and hiring managers. Data is what provides a sense of what's happening but it's my purpose for the data that drives it or determines how I utilize it.
When have metrics mattered in your professional experience?
When have they not? When I was in advertising and marketing, data was how I made projections, pitched a sale, set benchmarks and assess the success or failure of a campaign. As a writer, I used it to back up and emphasize key points in an article to make it more appealing to the reader. As an educator/mentor, I used data to pitch ideas to sponsors for funding my grass roots community projects educating and mentoring urban at-risk youth. In church, I used data to determine the impact of ministries whether it be outreach, food bank, clothing drives, concerts, and the list goes on. In my professional career, metrics always mattered but I often left the details up to the execs. It wasn't until more recent in my career that I found metrics to be something of more interest to me. Data management and Logistics were things that I understood conceptually but didn't grasp because mentally I resisted the notion of having to deal with numbers. The reality is that like the article said using the example of a thermometer or weight scale, metrics have always mattered.
How do you use data in your current role—would you describe your team as data driven?
In my current role we use data for:
Recruitment Strategies
Employee Retention
Assessing the Market and What works for staff, employees and hiring managers
Data determines how many people are on our team to administer the services we provide in Talent Acquisitions
It determines how many positions we recruit for
Data drives everything we do. So yes, our team is data driven whether we fully present to it or not.
1) Having a goal - Starting with the end in mind and 2) Correlation - Making the Metrics Make Sense.
How might you apply these learnings to your everyday work? Please give a specific example.
In my role in Talent Acquisitions data is key in determining what succeeds and what fails in particular or recruitment. I use data to determine how successful a pitch is, or whether a position is in high/low demand, what salaries are competitive and what factors matter to applicants, staff and hiring managers. Data is what provides a sense of what's happening but it's my purpose for the data that drives it or determines how I utilize it.
When have metrics mattered in your professional experience?
When have they not? When I was in advertising and marketing, data was how I made projections, pitched a sale, set benchmarks and assess the success or failure of a campaign. As a writer, I used it to back up and emphasize key points in an article to make it more appealing to the reader. As an educator/mentor, I used data to pitch ideas to sponsors for funding my grass roots community projects educating and mentoring urban at-risk youth. In church, I used data to determine the impact of ministries whether it be outreach, food bank, clothing drives, concerts, and the list goes on. In my professional career, metrics always mattered but I often left the details up to the execs. It wasn't until more recent in my career that I found metrics to be something of more interest to me. Data management and Logistics were things that I understood conceptually but didn't grasp because mentally I resisted the notion of having to deal with numbers. The reality is that like the article said using the example of a thermometer or weight scale, metrics have always mattered.
How do you use data in your current role—would you describe your team as data driven?
In my current role we use data for:
Recruitment Strategies
Employee Retention
Assessing the Market and What works for staff, employees and hiring managers
Data determines how many people are on our team to administer the services we provide in Talent Acquisitions
It determines how many positions we recruit for
Data drives everything we do. So yes, our team is data driven whether we fully present to it or not.