Arbital Health’s Post

You asked, we answered. CompGrid Biotech is purpose-built for mid-market life science companies, providing compensation benchmarks with competitive pricing. Learn more, code: DANFORTH-FRIENDS  https://lnkd.in/eDk2PY8V In our ultra-competitive industry, access to compensation data and insights is critical. Given our reach across hundreds of life science companies, we're in a unique position to aggregate and share valuable datasets in direct response to your asks. What makes CompGrid Biotech different?   --Better data:  custom-built to serve mid-market private and public life science companies, including relevant job families and leveling structures. --Highly competitive pricing: contributing companies have access to datasets beginning at just $3,500 per year. --Easy and intuitive: software-enabled data submission, job matching and filtering allow for ease of use and maximum efficiency.   Register today using referral code DANFORTH-FRIENDS. Submit anonymized data by July 31 and gain access to benchmarks in August!

Being part of this ALL STAR panel of experts is truly an honor. Join us, along with other talented professionals, as we delve into the pursuit of transparency. Our discussions will cover recent employer lawsuits involving J&J and the Mayo Clinic, as well as explore the intricacies of claims data, TIC data, and more. At the heart of it all lies data, my friends. With a straightforward yet unwavering mindset, we aim to discern what truly serves the best interests of the members, consumers and our great nation.

Here we go again! Several people have been asking me to talk about Sensitivity Labels, and I'm excited to share my expertise on Purview. As a Subject Matter Expert, I've been working with Sensitivity Labels since the beginning. Join me for a deep dive session on the design and configuration of Sensitivity Labels. I'll explain all the available capabilities and how they can be used in our daily work. We'll also discuss the challenges and achievements of implementing Data Classification Policies, and why it can be complicated to implement something that appears easy to use. We'll also explore adoption and consumption goals, and how to raise them. If you're interested in learning more about Sensitivity Labels and their practical applications, register for my event on Thursday, May 16 at 10.00AM CST. You can register at https://aka.ms/KD-Events.