More and more organizations and industries are using Big Data to make smart, data-driven decisions. Sustainability is no exception, but how much are you measuring when it comes to your employee sustainability programs? Maybe you want to understand what types of causes resonate with your employees the most, or you want to increase participation in existing sustainability programs. Make S.M.A.R.T goals. Once you’ve come to a consensus on the purpose of collecting and analyzing data, you need to chart your path by setting goals. These goals will also help you narrow your focus on the data that you need to collect in order to measure success. The more data you have to analyze, the easier it will be to gain insights and make decisions with it. The greatest value that a data-driven employee sustainability program creates is the ability to quickly test and measure new ideas. Test subject lines, send times, senders, email composition and any other variables that are relevant to your organization. Do you think your sustainability team is data-driven when it comes to employee sustainability programs?
More and more organizations and industries are using Big Data to make smart, data-driven decisions. Sustainability is no exception, but how much are you measuring when it comes to your employee sustainability programs?
If you’re just transforming your employee sustainability program to be more data-driven, take a look at these five essential building blocks in order to create a successful data-driven program.
- Know your data’s purpose. Collecting large amounts of data takes a lot of time, effort, and resources, but will lead to little reward without an end goal in mind. Think about why you want to implement, or shift to, a data-driven employee sustainability program? Maybe you want to understand what types of causes resonate with your employees the most, or you want to increase participation in existing sustainability programs. Establishing goals at the start will help guide your data strategy.
- Make S.M.A.R.T goals. Once you’ve come to a consensus on the purpose of collecting and analyzing data, you need to chart your path by setting goals. We like the SMART goal philosophy because it forces you to create quantifiable and realistic goals. These…
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