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InsIde VIew
The enterprise-level
data delivery challenge
that enables management at all levels of the more holistic view of operational data and
Dave organisation to make timely and effective experimental research.
Champagne,
decisions. With multiple applications across
the enterprise, generating reams of data that enterprise-level connectivity
vice president sit in separate silos, aggregating and mining For businesses today, a coherent strategy
and general
this data is a very real and complex problem. that can integrate data from the wide range
Many companies, from pharmaceuticals to of different sources of potential data across
manager of process industries, from food producers to the organisation is critical to containing
informatics at Thermo
the petrochemical industry, still use manual costs and maximising revenue. Enterprise-
processes for collecting, analysing and level LIMS now allow for the integration
Fisher Scientific, on the reporting this data. Often the reports that of data from laboratory instrumentation
task of interpreting
distill this mountain of data into relevant and enterprise systems so that management
information are extremely tedious to create, can have the right information at exactly
laboratory data at taking scientists away from the work of the right time to make the most effective
enterprise level
science and thereby losing time and money decisions for their business.
performing administrative report generation To address this need for managing
instead of furthering the scientific work of laboratory data, and to provide a means to
In the current global economic environment, the lab. And, because data formats and further reduce the ever-growing pressure
where margins are scrutinised for every applications are inconsistent and not well on the expense side of the balance sheet,
possible opportunity for efficiencies and cost integrated, there has been no coherent way companies like ours are harnessing our wide
savings, companies everywhere are facing for scientists to aggregate all of their work in range of capabilities to help bridge the gap
the necessity of a reduction in their capital one place. All of these are barriers to making between laboratory-generated data and the
expenses as well as their operating costs. effective business decisions enterprise-level information that is required
Companies that rely on laboratory data are Laboratories across a variety of industries for mission critical management decisions.
looking for ways to make the most of the are now implementing next-generation We are engaging with our customers to
mountain of data they generate, and turn it data management tools to help manage facilitate management-level discussions
into useful revenue-generating information. the increasing amount of data generated about the necessity of integrating all of the
To increase the opportunities for laboratory- by their organisations and move one step sources of potential data, including laboratory
generated data to be able to deliver these closer to a paperless operation. These tools instrumentation, informatics software like
results, companies are seeking ways to obtain enable scientists and researchers to replace LIMS, CDS and ELNs, enterprise systems
tighter integration of their processes so that manual processes for collecting, analysing like MES, PIMS and ERP, enterprise
information may be shared and utilised and reporting on data, which is made up of communications tools like SharePoint,
across an organisation in ways that have the both structured and unstructured content. BizTalk or document management systems
most direct impact on decision-making that It is estimated that approximately 20 per like NextDocs and Documentum, thereby
affects the bottom line. Solutions providers cent of laboratory data is structured, which elevating the role of the laboratory in the
are likewise delivering new methodologies means it is captured, stored and retrievable day-to-day mission critical decisions required
that can provide the integration necessary with software systems like laboratory of management throughout the enterprise.
to move laboratory-generated data into the information management systems (LIMS) Integrating the enterprise will facilitate
core of the management decision-making and chromatography data systems (CDS). better planning, data quality, collaboration,
process. The remaining 80 per cent of laboratory and end-to-end report generation, all
generated data is unstructured, primarily with the goal of providing management
Barriers to making effective manually processed, and not easily managed. dashboard views of key business metrics that
business decisions But new technologies and innovations in are essential to running their operations
One of the key challenges facing companies data management systems can help connect effectively. This means that management
today is the inability to turn the vast amount this disparate data generated in a variety will have the critical data they need before,
of laboratory data into useful information of systems, thereby giving management a not after, any point of crisis.
54
sCIenTIFIC COMPUTInG wORLd OCTOBER/NOVEmBER 2009 www.scientific-computing.com
SCWoct09 pp54-56 Inside view.indd 54 10/1/09 12:52:51 PM
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