Analytics & the Data Loading Process
Analytics. Just the thought can be overwhelming. It doesn’t have to be that way… In fact, it shouldn’t.
Analytics are a valuable way to look at your company’s health information – pulling together disconnected and ransomed data and turning it into a real way to understand your employee benefits and wellness decisions to take control of your information once and for all.
However, before you can get to the end – that is understanding your employee benefits and wellness decisions – there’s a lot of ground to cover and it all starts with the data loading process.
DHS Group’s Greg Neufer is joining us on the blog today to answer questions about this important first step – What is data loading? Why should companies pay attention to it? How can you improve?
Why is data loading so important?
Greg: Without proper data loading and the ability to analyze the data across the many data sources, your results will be incorrect, and decisions will be flawed. Before you can leverage the powerful information behind your data – the data sources need to be loaded in a consistent way so that they can be easily analyzed as a whole.
For example, at DHS Group, we setup and process data feeds from multiple data sources including medical, pharmaceutical, dental, disability, HRIS data, absence data, workers’ compensation data, wellness data, biometric and health risk assessment.
When sources are loaded, properly joined and analyzed (this includes health profiles, risk analysis and actionable business intelligence measures) they enable users to make informed business decisions based on the information.
Why should you care about the data loading process?
Greg: Without a full picture of your company’s population health, making decisions on programs to improve the quality of health management and reduce rising healthcare benefit costs would be like throwing darts to find the specific combination of decisions. Have the correct analytics based on all your company’s healthcare data allows for the correct decisions based on actionable plans.
What are some common mistakes people make because of a faulty analytics/data loading process that a good process can help you avoid?
Greg: Something as simple as matching people between different data sources can be a monumental task for some company’s data sets. One example would be how we regularly see data sources that have incorrect names, dates of birth and even social security numbers. This seems like a small mistake, but it’s something that results in difficulties connecting a single person’s records across many different data sources.
Analytics and the data loading process – when used properly and to their full potential – have the ability to take all the information across data sources to produce an overall picture of a population’s health and conditions to form valuable actionable items, and most importantly, analysis of on-going programs to determine their worth.
Alongside the expertise in the analytics and data loading process, DHS Group’s team goes above and beyond what is standard through a system that is highly flexible – a system that can provide custom analytics on data per any customer’s requests or requirements. When it comes down to it, the data integrator/loading process is the “secret sauce” that makes DHS Group’s employer analytics product the successful program that it is.
If you’re interested in taking control over your healthcare costs with a full 360-degree view of your available data and the expertise of a team full of experts, contact DHS Group here.