You wouldn’t believe how often we get asked what we do as life sciences consultants.
“Do you do Research and Development?”
“So you do drug formulation?”
“Are you involved in clinical trials?”
Nope. But a lot goes into what we do as Life Sciences Consultants. Click here to learn more.
Here’s our dinner party spiel:
With over twenty years of experience working with the life sciences industry, our expertise is in helping pharma, biotech, and other life sciences companies manage their data and technology strategies from commercialization to ongoing operations.
We work with companies of every size, at every stage of production. Our customers range from new start-ups to existing companies looking to modernize their data and technology solutions for commercialization.
From a day-to-day perspective, this means we spend a lot of time listening to our customers, hearing their needs, goals, and challenges, and then recommending a strategy to move forward. A lot of our time is spent researching potential tools and technologies and working side by side with customers on projects involving technology implementations, commercialization, and long-term support. Our solutions focus on efficiency, long-term scalability, and solving our customers’ needs.
What kinds of data and technology are necessary for life sciences commercialization?
At Everest Customer Solutions, we consider ourselves to be technology agnostic. We think the problem drives the solution, not the other way around. We don’t believe in a one-size-fits-all approach. Our loyalty is with you, the customer, not with any specific technology or tool.
We won’t just recommend a product or tool because we like it or because we have ties to it. We’ll evaluate all of the factors to help you find the right solution for your business. When building a data and technology roadmap and commercialization strategy, we start by gathering information that helps us determine the best technology for your business model, that fits your unique needs and solves your specific challenges.
We’ll determine what gaps exist in your current business processes and capabilities, and what systems or data elements could be introduced to fill them. Every company is different, and what works for one life sciences company might not work for another. All kinds of factors affect our decision-making.
Maybe your product is the first to market for a specific indication, making barriers to adoption lower than another product that is third to market behind other well-established therapies. Perhaps a business leader had a (terrible) experience with a certain technology at a previous company and refuses to work with it ever again. Maybe your company prefers out-of-the-box systems with minimal customization, or maybe they want to build the perfect system from the ground up.
We take all of these things into account when determining what kind of systems your business might need. Some common data and technology needs for life sciences commercialization are:
- Master data management (MDM)
- Life sciences data warehouse
- Commercial analytics and data sciences
- Customer relationship management (CRM)
- ERP systems
Why we do it
With all of this, it can be easy to get stuck in the lofty abstractions of the industry – commercial strategy, data analytics, system configurations, etc. But it’s important to remember that the core of our work is people.
Many of our customers tend to be in the rare-disease and specialty pharma industry. Deidentified patient data makes it easy to forget that their products are saving real lives. They’re making a difference, especially for people who struggle not just to live with a disease, but a disease that many doctors don’t understand, that could take ages to be diagnosed, and that has limited treatment options.
Our work goes beyond affecting our customer’s bottom line. It trickles down to the real healthcare providers, patients, and their loved ones. For us, that’s what life sciences consulting is really all about.
Contact us to learn more about how our life sciences consultants can help you and your business.