Cut the Cord and Take to the Cloud
Whether it’s an emerging biotech, a stable managed markets organization, or the world’s largest pharmaceutical company, every client needs an adaptable customer relationship management (CRM) system. Life sciences companies must be able to make changes to the system as often as necessary to keep up with market fluctuations, regulatory changes, territory realignments, and technology innovation. A simple field change that takes up to six months in a client/server environment, takes just a few minutes with an application “in the cloud.”
Cloud computing is a witty term used to describe the process of taking traditional software off the desktop and moving it to a server-based system that’s hosted centrally by a service provider. This service allows companies to make updates, alleviate glitches, and manage software from any location from one computer, rather than run around to every system and make changes locally.
While cloud computing might be the catchphrase of the moment, not all systems are created equal. A feature that should be considered when looking for a new software-as-a-service (SaaS) system is multi-tenancy, which is a chief characteristic of mature cloud computing application.
Making Sense of Multi-tenancy
Multi-tenant architectures provide a boundary between the platform and the applications that run on it, making it possible to create applications with logic that’s independent of the data they control. Instead of hard-coding data tables and page layouts, administrators define attributes and behaviors as metadata that functions as the application’s logical blueprint. Individual deployments of those applications occupy virtual partitions rather than separate physical stacks of hardware and software.
These partitions store the metadata that defines each life sciences company’s business rules, fields used, custom objects, and interfaces to other systems. In addition to an application’s metadata, these virtual partitions also store custom code, ensuring that any potential problems with that code will not affect other customers, and preventing bad code associated with one object from affecting any other aspects of an individual customer’s application.
In addition, the model must be totally scalable—both up and down—as a result of employee changes, transaction growth, new product launches, mergers and acquisitions, or any number of business events that can dramatically alter business needs. CRM solutions from traditional on-premise vendors are expensive to scale because of the complexity and cost of scaling each layer of hardware and software stacks, which often require messy system replacements and data migrations.
Investing in first class hardware results in more scalable, reliable, and secure performance than any other alternative. This is true no matter how large or small the client is—from 10 to 10,000 users, each customer still uses the same hardware.
The same is true with software. With multi-tenant SaaS, all customers are running on the same version or same set of code, which means that all of the users are working on the very latest release of the software 100 percent of the time—as opposed to locally installed programs where there may be 20 different versions of an application in use and 20 different sets of code to maintain without a single customer on the latest release. For each version of the software, the vendor provides the team to maintain it, investigate bugs, make and deploy patches, and more.
No Hardware, No Problem
In addition to hardware, software, and maintenance savings, cloud computing CRM systems are much faster and therefore less expensive to implement. With multi-tenant SaaS, product design and configuration happens in parallel. That means project team members can log in and start working on day one.
The Maturation of a Technology
The life sciences industry is in the midst of a similar revolution today. Cloud computing has become the modern-day version of electrical power—the grid, replaced by the cloud. But only with true, multi-tenant SaaS can companies feel the full effects of this innovation.
How Digital Medicine Can Pinpoint Dosing Regimens to Optimize Drug Efficacy and Safety