ANALYTICAL AND LAB EQUIPMENT
systems. OT information has tended to not be shared across a business. However, IT (short for information technology) systems tend to work across sites, do not require user input and are more focused on security and consistency than the former. Their remit might include internet, cloud, SaaS or CRM services as well as monitoring and information reporting. Historically, the two stacks were
Decoding Xxxx xx xx xx xxx xx xx xx xx xx xx T
he IT and OT layers of an organisation have traditionally had very different remits and been run quite separately.
However, with automation and virtualisation now ubiquitous, they are no longer distinct. In terms of merging these information types to make use of different data sets across the business, life-science companies are leading the charge, according to Peter Zornio, CTO of technology manufacturer Emerson. He was speaking at the recent Emerson Exchange conference in Dusseldorf. The merging of these technology stacks to make different data sets across the business and the resulting ‘bubbling up’ and sharing of previously siloed data, is leading to improved product time to market, enhanced sustainability, and reduced downtime.
DEFINITION OF THE STACKS Before we look at why this is happening, it is important to define the types of technology stack to which we are refering. OT (short for Operational
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www.scientistlive.com DATA MEANING
Health science companies are making better use of data than those in other sectors. But why, and what benefit does this afford them? By Nicola Brittain
distinct and often at logger heads (with different IT staff in charge) but times have changed and companies need a more holistic view of their data to be able to make the right decisions at the right time. Michalle Adkins director of life science consulting, Emerson said of recently developments: “Being able to merge and move data and information from both these stacks has become essential for the smooth running of labs.” She continues: “Pulling data out of bespoke or specific on-site machines can now be given context and be useful to a wider business. This bubbling up of data – or giving it contextual meaning – can be very useful in a number of scenarios.
BENEFITS OF MERGING TYPES OF OPERATIONS Giving data context can lead to the sharing of operational efficiencies found in one site; sharing of capacity if one site is experiencing downtime; spreading research responsibilities if a product needs to be delivered quickly; and the reduction of repeat experiments in different parts of a business. Similarly, research work can be easily learnt from – particularly important in a large company with international sites; finally and importantly batch issues can be traced back to their root providing a better understanding of production problems.
Michalle Adkins director of Life Sciences Strategy, Emerson
Technology) systems tend to be those closer to the plant level and shop floor. They require a user input, as well as data and information from the specific location. They tend to refer to information created in site specific databases, or related to plant specific operations. Reliability and availability are the most important concerns for OT
WHAT IS DRIVING THIS TREND? As Michalle explained there are several key drivers for this development. These include getting new products to market quickly; a desire for pipeline acceleration; or the need to manufacture multiple products at a given process development facility to bring a new product to market quickly. Operational integrity and the need to be able to reliably deliver products on time, in full, and meeting
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