Scalability

What do we mean when we talk about scalability?

Getting to know a company, their products and their people represents a very significant investment in your time, effort, money and people - which is all a risk when you are thinking of adding new technologies and products. Often we find customers try to reduce their risk by making a small investment by purchasing the minimum to ensure that the products or services deliver to your specific needs.

But what about the future when you want to expand the number of analysts processing and reviewing data?

What happens when you want to have the data processed as soon as it has been produced by your instruments?

What happens when you want to add more instruments to the automated processing environment - Will it be able to scale to handle the increase in sample numbers?

What happens when you need to deliver your results and reports to a number of different scientists who may well be on different continents or site facilities?

 

What happens when you have a range of different workflows but want consistency across how you information is handled, reported and published in its final format?

 

Does having a single or some reduced number of software packages not reduce your hidden internal costs and productivity?

These are some aspects of what we mean; when we talk about scalability.