What are the Benefits of Data-Driven Business Decisions for Employee Training?
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What are the Benefits of Data-Driven Business Decisions for Employee Training?

By CIOReview | Wednesday, January 29, 2020

It is not easy to make sound business decisions, considering the gut feeling might turn out to be beneficial at times, but it is unreliable and can put the business at significant risks.

FREMONT, CA: Investing in employee training can be incredibly beneficial for businesses and can boost employee engagement, only if done right. Evaluating if the employee training is proper is tough, especially with the training software being expensive and having the probability of failing. The only way to find that out is by relying on the data for the business. Decision making becomes easier when accurate data is available to help in the process. Detailed data and business management analytics are the two things that make employee training seamless. Data-driven decision making (DDDM) is to collect valuable data, analyze it, and use it to validate a course of action. With the help of DDDM, business decisions can be made instead of relying on the gut feeling to do so. When it comes to bettering employee training deciding which data is useful depends on the training goals, objectives, and KPIs. 

The pros of data-driven decision making

Top Enterprise Performance Management Solution CompaniesThe two most substantial goals for employees is a professional development, and career growth, and more than 40 percent of them will quit from their job if they receive poor training opportunities. For improving employee training, a proper approach has to be formulated. 

• Goals- The LMS and knowledge management software as a whole has the potential to collect extra amounts of data, analyzing and relying on it completely is not always possible. Hence setting clear goals is essential to cut down on operational costs and expedite the onboarding process. Knowing a specific goal makes it easy to understand which data is important and will be able to improve the training software. 

• Taking small steps- Collecting and analyzing data from knowledge management software is difficult; therefore, it’s better to start small before fully committing to an LMS system and its data. It is recommended to test the software with a small team and make the use of its insights and see how it goes prior to fully adopting it. 

• Onboarding- On setting the goals its id necessary to update the team and keep them in the loop about the data to be collected, its usage, and importance. This ensures to keep everyone on the same page.

See also: Top Knowledge Management Solution Companies