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Case Studies

Distressed Data Warehouse

For the past two years, a national leader in agricultural research and development has been rapidly increasing the number of research studies along with improving their predictive analytics capabilities. Over the past two years, the volume of data flowing into the data warehouse has grown dramatically due to increases in the number of research studies sending data to the warehouse. There are also significant increases in the volume of marker data because of advancements in genetic sequencing. This combination has led to instability with ETL processing as well as inability to complete warehouse update processing to meet business service level timeframes. This case study investigates the root of the problem, how we at Lifescale Analytics approached the issue and the results of remedying their distressed data warehouse.

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Collaboration in the Cloud

The bioinformatics team at a global donor research organization was tasked with the mission to find new and better ways to identity donors for leukemia patients. They needed to discover a way to collaborate with external researchers using a broad array of analytics tools while complying with platform and tool standards supported by corporate IT. This case study investigates the root of the problem, how we at Lifescale Analytics approached the issue and the results of employing a private cloud solution for this organization.

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Descriptive to Prescriptive -
Accelerating Business Insights with Data Analytics

The potential of data analytics can be confusing for many business leaders, often leading to more questions than answers.
This Leadership Brief will provide you an overview of four different analytic approaches that can be used to solve a business problem or set of problems. Each of these represents a stage along a data analysis continuum through which additional business insight and benefit can be gained.

5 Reasons Why Bio-research Firms Should Invest In Data Analytics

There is no shortage of “good” investments for a bioscience business; robotic microscopy systems to accelerate lab workflows, a new cell culture bioreactor, upgraded lighting systems to save energy, safety training for plant employees or recruiting that world class domain expert to drive your genetics research program. With so many worthy investments competing for limited resources, why should you invest in your data analysis capabilities?

This Leadership Brief offers five reasons that you should consider an investment in data analytics to improve your bio-research business.