Data Team Use Case
Introduction An independent, physician-owned medical practice, with a growing number of patients and excellent name recognition in its community, ACME Physicians has seen its financial
The State of a Data Team at Small and Midsized Companies
LeapFrogBI researched 1,800 companies on LinkedIn, 95% of which had 1,000 or less employees. We were specifically looking at companies in healthcare, insurance, or banking.
LeapFrogBI is on the Road in April
Hello Insurance Friends! LeapFrogBI is on the road in April! The team is packing up and hitting the road. Our first stop will be at
Product Cannibalization in Credit Unions and Regional Banks – Is your data ready to work for you in a high interest rate environment?
Few businesses feature as many moving parts as banking. A variety of existing products, each with specific rules, and a constant influx of new products
Loss Development Triangles Help Insurance Carriers and MGAs Understand Expected Losses
How much loss can be expected per claim? Answer this simple question correctly, and carriers and MGAs will have a good chance of building a
Data Team: Build It or Buy It?
When it comes to establishing a data team, organizations face the crucial decision: build it from the ground up or buy the expertise externally. All
Who Needs a Data Team?
Running a business is hard enough. With all the hype around information technology and how integral it is to doing anything in this world, business
Managed Services vs. Outsourcing: The Difference and How to Choose
In the late 90s, as the internet came of age as a place where real business could take place, we started hearing of a new
3 Steps Proven to Reduce Claim Denials
How well healthcare practices managed claim denials could mean the difference between a bottom-line profit or loss. This article will walk you through three steps
How to Reduce Charge Lag by Improving Your Charge Capture Process in Healthcare
Charge lag is the primary charge capture challenge of many healthcare organizations. Lagging charges (aka charge lag, lag days, and billing delays) are the number